Journal articles: 'Digital-Based analog processing'

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Sharma, Sushma, Hitesh Kumar, and Charul Thareja. "Digital Signal Processing Over Analog Signal Processing." Journal of Advance Research in Electrical & Electronics Engineering (ISSN: 2208-2395) 1, no. 2 (February 28, 2014): 01–02. http://dx.doi.org/10.53555/nneee.v1i2.255.

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This paper provides a survey of digital signal processing over analog signal processing. Initially digital signal processing is developed to replace limited application based analog signal processing (ASP) of high cost. This paper describes the comparison of analog signal processing (ASP) and digital signal processing, technology under digital signal processing , application of digital signal processing, new technology of digital signal processing (DSP). This paper also focuses on the future scope of digital signal processing (DSP).

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Nasrulloh, Mohammad Dicky. "Designing a Digital Filter Based Crossover Audio System Using STM32L4." Jurnal Jartel: Jurnal Jaringan Telekomunikasi 9, no. 4 (December 25, 2019): 13–18. http://dx.doi.org/10.33795/jartel.v9i4.141.

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Analog telecommunication system equipment is now starting to develop and be replaced with digital telecommunication systems, one of them is in the audio signal processing. The focus of audio processing is audio crossover. Audio crossover in development there are still many who use analog systems. This analog system has disadvantages when adjusting the sound balance because it still uses analog filters to balance it. It is necessary to develop a technology that aims to create a digital-based crossover audio system using the STM32L4, so that by using this digital-based signal processing it is able to adjust the sound more specifically than the signal processing used analog based. This digital filter uses the Finite Impulse Response (FIR) method. Testing audio crossover using STM32L4 produces a digital-based crossover audio system design using a STM32L4 microcontroller with a voltage of 3.3V as power supply, mp3 player as sound input device, FIR filter as digital filter processing, LM386 as sound amplifier and speaker as sound output for crossover audio on rangelow frequency (200Hz to 4000Hz), high (2200Hz to 6000Hz), medium (200Hz to 4000Hz).

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Reshetnikova, I. V., S. V. Sokolov, A. A. Manin, M. V. Polyakova, and O. I. Sokolova. "Optical digital-to-analog converter for N-digit logic-based processing circuits." Journal of Physics: Conference Series 2131, no. 2 (December 1, 2021): 022129. http://dx.doi.org/10.1088/1742-6596/2131/2/022129.

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Abstract The possibility of synthesis of ultra-fast universal optical digital-to-analog converter (DAC) providing conversion of digital information into analog information in giga- and terahertz ranges, including in digital systems based on N-digit logic, is considered. The functional diagram of the optical DAC containing technologically well-developed optical elements is given, the principle of operation is described in detail. The possibility of implementing this DAC with the speed potentially possible for optical data processing circuits is shown.

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Cai, J., and G. W. Taylor. "An optoelectronic thyristor-based analog-to-digital converter for parallel processing." Applied Physics Letters 73, no. 16 (October 19, 1998): 2372–74. http://dx.doi.org/10.1063/1.122464.

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Maruta, Akihiro, and Sho-ichiro Oda. "Optical Signal Processing Based on All-Optical Analog-to-Digital Conversion." Optics and Photonics News 19, no. 4 (April 1, 2008): 30. http://dx.doi.org/10.1364/opn.19.4.000030.

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Semenov, V. K. "Digital to analog conversion based on processing of the SFQ pulses." IEEE Transactions on Applied Superconductivity 3, no. 1 (March 1993): 2637–40. http://dx.doi.org/10.1109/77.233969.

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N. Ezema, Chukwuedozie, Chukwuebuka B. Umezinwa, and Ernest O. Nonum. "Microcontroller-Based Optical Displacement Weighing Scale." International Journal of Advance Research and Innovation 4, no. 3 (2016): 27–33. http://dx.doi.org/10.51976/ijari.431606.

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Electronic weighing systems are used in industries and business establishments for weighing and segregating materials accurately for process scales. Thus, the aim of this research is to design and implement a microcontroller based optical displacement weighing scale. The electronic weighing system comprises the basic load cell suitable signal conditioners and output recorders/indicators giving both the analog and digital output for further processing. The signals from the load cell are amplified and fed to analog/digital converter, which provide an output in the digital format for display printing/processing etc. The strain gauge based load cell is the most popular weight transducer used in the electronic weighing system.

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Rajabalipanah, Hamid, Ali Abdolali, Shahid Iqbal, Lei Zhang, and Tie Jun Cui. "Analog signal processing through space-time digital metasurfaces." Nanophotonics 10, no. 6 (March 29, 2021): 1753–64. http://dx.doi.org/10.1515/nanoph-2021-0006.

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Abstract In the quest to realize analog signal processing using subwavelength metasurfaces, in this paper, we present the first demonstration of programmable time-modulated metasurface processors based on the key properties of spatial Fourier transformation. Exploiting space-time coding strategy enables local, independent, and real-time engineering of not only amplitude but also phase profile of the contributing reflective digital meta-atoms at both central and harmonic frequencies. Several illustrative examples are demonstrated to show that the proposed multifunctional calculus metasurface is capable of implementing a large class of useful mathematical operators, including 1st- and 2nd-order spatial differentiation, 1st-order spatial integration, and integro-differential equation solving accompanied by frequency conversions. Unlike the recent proposals based on the Green’s function (GF) method, the designed time-modulated signal processor effectively operates for input signals containing wide spatial frequency bandwidths with an acceptable gain level. Proof-of-principle simulations are also reported to demonstrate the successful realization of image processing functions like edge detection. This time-varying wave-based computing system can set the direction for future developments of programmable metasurfaces with highly promising applications in ultrafast equation solving, real-time and continuous signal processing, and imaging.

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Wu, Ling Fan, Li Jun Yun, Jun Sheng Shi, Kun Wang, and Zhi Hui Deng. "Design and Implementation of the HD Video Signal Converter Based on FPGA." Advanced Engineering Forum 6-7 (September 2012): 571–75. http://dx.doi.org/10.4028/www.scientific.net/aef.6-7.571.

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In this paper, based on the FPGA and with a video dedicated A / D converter chip, LVDS coding chip, the design and implementation of a SD(standard-definition) analog video signals to HD(high-definition) digital video signal converter. First, input SD analog video into digital video signals meet the ITU-BT656 standard. Then use the FPGA with the video processing chip and DDR do some corresponding processing to achieve high-definition digital video output. After the actual test, the converter output signal of the image quality is well, meets the design requirements, and to verify the effectiveness of the program.

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Wang, Li, Wenli Chen, Kai Chen, Renjun He, and Wenjian Zhou. "The Research on the Signal Generation Method and Digital Pre-Processing Based on Time-Interleaved Digital-to-Analog Converter for Analog-to-Digital Converter Testing." Applied Sciences 12, no. 3 (February 7, 2022): 1704. http://dx.doi.org/10.3390/app12031704.

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In the high-resolution analog circuit, the performance of chips is an important part. The performance of the chips needs to be determined by testing. According to the test requirements, stimulus signal with better quality and performance is necessary. The main research direction is how to generate high-resolution and high-speed analog signal when there is no suitable high-resolution and high-speed digital-to-analog converter (DAC) chip available. In this paper, we take the high-resolution analog-to-digital converter (ADC) chips test as an example; this article uses high-resolution DAC chips and multiplexers to generate high-resolution high-speed signals that can be used for testing high-resolution ADC chips based on the principle of time-alternating sampling. This article explains its method, analyzes its error and proposes a digital pre-processing method to reduce the error. Finally, the actual circuit is designed, and the method is verified on the circuit. The test results prove the effectiveness of this method for generating high-resolution ADC test signals.

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Zhang, Jing Bo, Xiao Feng Wang, and Shu Fang Zhang. "Audio Signal Processing Based on FPGA." Advanced Materials Research 1049-1050 (October 2014): 1759–64. http://dx.doi.org/10.4028/www.scientific.net/amr.1049-1050.1759.

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This paper presents a system of audio signal processing based on FPGA,the system uses audio codec chip LM4550 to A/D transform and D/A transform the input analog audio signal and output digital audio signal.Using FPGA as the high speed signal processor to realize volume adjustment and audio effect control,so it can output different style music.Meantime, the system designs a FFT computing module and control system of VGA display interface,to compute the digital audio signal which is A/D transformed,and real-time display the frequency spectrum of audio signal on VGA.

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Yang, Ruiping, Hongpeng Wang, Huan Liu, Wang Luo, Jian Ge, and Haobin Dong. "A new digital single-axis fluxgate magnetometer according to the cobalt-based amorphous effects." Review of Scientific Instruments 93, no. 3 (March 1, 2022): 035104. http://dx.doi.org/10.1063/5.0084376.

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Fluxgate sensors are currently widely used for weak magnetic field measurement because of their relatively great performance, such as resolution, power consumption, and measurement of vector magnetic fields directly. Since the analog fluxgate sensor has some drawbacks, e.g., it would be influenced by the noise of the analog circuit. Hence, in recent years, the analog circuit is gradually inclined to be realized by digital processing in which the software parameter adjustment is employed to replace the analog components, which can greatly improve the flexibility of the design. This paper proposes a digital single-axis fluxgate sensor according to the cobalt-based amorphous effect. To be specific, the analog signal output by the fluxgate is sampled directly by an analog-to-digital converter to obtain the signal waveform in digital form after amplification. The demodulation, filtering, and integration of the signal are all solved by mathematical algorithms. Based on the working principle of the fluxgate sensor, the selection of the magnetic core material and coil winding method of the fluxgate sensor probe is introduced in detail. The design and function of the excitation circuit and preamplifier circuit, as well as the specific realization of digital signal processing, are described. Finally, the performance test of the digital fluxgate sensor was performed under laboratory conditions, and the magnetic anomaly detection comparison experiment was performed outdoors with commercial fluxgate sensors. To sum up, the linearity of the digital single-axis fluxgate sensor is better than 1 × 10−5, and the root mean square noise value is below 0.1 nT. At the same time, it has good magnetic field tracking performance and is extremely sensitive to the magnetic field of the measurement area.

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Hasler, Jennifer. "Analog Architecture Complexity Theory Empowering Ultra-Low Power Configurable Analog and Mixed Mode SoC Systems." Journal of Low Power Electronics and Applications 9, no. 1 (January 21, 2019): 4. http://dx.doi.org/10.3390/jlpea9010004.

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This discussion develops a theoretical analog architecture framework similar to the well developed digital architecture theory. Designing analog systems, whether small or large scale, must optimize their architectures for energy consumption. As in digital systems, a strong architecture theory, based on experimental results, is essential for these opportunities. The recent availability of programmable and configurable analog technologies, as well as the start of analog numerical analysis, makes considering scaling of analog computation more than a purely theoretical interest. Although some aspects nicely parallel digital architecture concepts, analog architecture theory requires revisiting some of the foundations of parallel digital architectures, particularly revisiting structures where communication and memory access, instead of processor operations, that dominates complexity. This discussion shows multiple system examples from Analog-to-Digital Converters (ADC) to Vector-Matrix Multiplication (VMM), adaptive filters, image processing, sorting, and other computing directions.

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Bi, Chun Guang, Wei Tian Kong, and Ye Ming Lu. "Based ARMK10 Electromagnetic Sensor A/D Converter Design and Implementation." Applied Mechanics and Materials 687-691 (November 2014): 3399–402. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.3399.

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This paper-based design Kinetics ARM-Cortex M4 MK10DN512ZLL10 microprocessor detecting through the use of electromagnetic sensors has 10mH 100mA alternating current conductor, a continuous analog signal obtained through the solenoid to the LM358 chip amplifier many times the signal amplifier circuit , and then the analog signal is converted by the algorithm into a digital signal, and these values can be obtained through a filtering process after a smooth and accurate digital microprocessor for processing.

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Yildirim, Melih, and Firat Kacar. "Adapting Laplacian based filtering in digital image processing to a retina-inspired analog image processing circuit." Analog Integrated Circuits and Signal Processing 100, no. 3 (June 26, 2019): 537–45. http://dx.doi.org/10.1007/s10470-019-01481-3.

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UDDIN, MOHAMMED RAFIQ, GAZI MAEEN -UR- RASHID, and MD SHAHIDUL ISLAM. "MICROCONTROLLER BASED LIGHT CONTROL." International Journal of Software Engineering and Knowledge Engineering 15, no. 02 (April 2005): 319–24. http://dx.doi.org/10.1142/s021819400500235x.

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A microcontroller-based control system is a direct outgrowth of the extensive advances in the Integrated Circuit design and microelectronic device processing technology. This has led to the development of new forms of technologies. This paper presents a technique of microcontroller based control system for controlling the lights of a room. Using the technique, according to the intensity of the sunlight in a room, the states of light of that room will change. Therefore we need to collect data or information from the environment using light sensors to control lights. The microcontroller collects the information from the atmosphere and changes the state of different lights. The analog data collected by the sensors are converted to digital form by an Analog to Digital Converter (ADC) and then fed to the microcontroller. The output data stream of the microcontroller is in digital form by which analog device lights will be controlled.

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Chen, Chui Xin, and Yang Hong Mao. "Design and Implementation of Audio Process System Based on DSP." Advanced Materials Research 945-949 (June 2014): 1752–55. http://dx.doi.org/10.4028/www.scientific.net/amr.945-949.1752.

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The real-time processing for the input analog audio signal, audio processing program is proposed based on DSP. The system use FFT algorithm as the core, first, the input analog audio signal is sampled and A/D conversion using TLV320AIC23, and then use high speed digital signal processor to make real-time processing for the signal. Theoretical and experimental results show that the system can meet the design requirements, it has the advantage of high real-time and simple structure. The system has a good application and reference value for the development and design of data collecting and remote monitoring.

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Ryndin, Konoplev, Lysenko, Kulikova, and Popov. "Highly Sensitive Signal Processing Devices for Capacitive Transducers of Micromechanical Accelerometers." Electronics 8, no. 9 (August 25, 2019): 932. http://dx.doi.org/10.3390/electronics8090932.

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In this paper, the principles of the open-loop frequency-based signal processing devices for capacitive MEMS accelerometers are used to develop three CMOS IP-core (Intellectual Property core) projects of highly sensitive signal processing devices with frequency output. Signal processing devices designed in accordance with the considered method form an output of rectangular pulses whose frequencies equal a difference of signal frequencies from two identical generators with micromechanical accelerometer capacitive transducers in their frequency control circuits. First, the analog project scheme uses two harmonic LC oscillators and an analog mixer to form an output rectangular-shape differential-frequency signal, the frequency of which is dependent on the measured acceleration. Second, the digital project is fully scalable for various CMOS-technologies due to oscillators of rectangular pulses and a digital mixer. Third, the mixed-signal project combines the advantages of the analog and digital projects. The signal processing device projects were developed, modeled and compared to comprehensively solve the problems of increasing sensitivity, dynamic range, noise immunity and resistance to destabilizing factors (e.g., to temperature changes).

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Wang, Wen, Jie Qiong Li, Han Yang Qiu, and Zheng Lei Wang. "Portable Digital Liquid Density Measurement System Based on AT89C52." Applied Mechanics and Materials 530-531 (February 2014): 233–36. http://dx.doi.org/10.4028/www.scientific.net/amm.530-531.233.

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A portable digital liquid density measurement system was designed. According to Archimedes principle that a sinkers buoyant force in some liquid is related with liquid density, the system proposed converted analog signal of a pressure sensor into digital signal which can be processed by AT89C52 microcontroller using ADHX711 with high accuracy. Temperature calibration was considered in data processing, which made it possible to accurately measure liquid density at different temperatures. Experiment results show that the method proposed is superior to traditional methods.

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Bensimon, Moshe, Shlomo Greenberg, and Moshe Haiut. "Using a Low-Power Spiking Continuous Time Neuron (SCTN) for Sound Signal Processing." Sensors 21, no. 4 (February 4, 2021): 1065. http://dx.doi.org/10.3390/s21041065.

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This work presents a new approach based on a spiking neural network for sound preprocessing and classification. The proposed approach is biologically inspired by the biological neuron’s characteristic using spiking neurons, and Spike-Timing-Dependent Plasticity (STDP)-based learning rule. We propose a biologically plausible sound classification framework that uses a Spiking Neural Network (SNN) for detecting the embedded frequencies contained within an acoustic signal. This work also demonstrates an efficient hardware implementation of the SNN network based on the low-power Spike Continuous Time Neuron (SCTN). The proposed sound classification framework suggests direct Pulse Density Modulation (PDM) interfacing of the acoustic sensor with the SCTN-based network avoiding the usage of costly digital-to-analog conversions. This paper presents a new connectivity approach applied to Spiking Neuron (SN)-based neural networks. We suggest considering the SCTN neuron as a basic building block in the design of programmable analog electronics circuits. Usually, a neuron is used as a repeated modular element in any neural network structure, and the connectivity between the neurons located at different layers is well defined. Thus, generating a modular Neural Network structure composed of several layers with full or partial connectivity. The proposed approach suggests controlling the behavior of the spiking neurons, and applying smart connectivity to enable the design of simple analog circuits based on SNN. Unlike existing NN-based solutions for which the preprocessing phase is carried out using analog circuits and analog-to-digital conversion, we suggest integrating the preprocessing phase into the network. This approach allows referring to the basic SCTN as an analog module enabling the design of simple analog circuits based on SNN with unique inter-connections between the neurons. The efficiency of the proposed approach is demonstrated by implementing SCTN-based resonators for sound feature extraction and classification. The proposed SCTN-based sound classification approach demonstrates a classification accuracy of 98.73% using the Real-World Computing Partnership (RWCP) database.

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Wang, Zongbo, Oleg A. Krasnov, Galina P. Babur, Leo P. Ligthart, and Fred van der Zwan. "Reconfigurable digital receiver design and application for instantaneous polarimetric measurement." International Journal of Microwave and Wireless Technologies 3, no. 3 (April 6, 2011): 355–64. http://dx.doi.org/10.1017/s175907871100033x.

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This paper presents the development of a reconfigurable receiver to undertake challenging signal processing tasks for a novel polarimetric radar system. The field-programmable gate arrays (FPGAs)-based digital receiver samples incoming signals at intermediate frequency (IF) and processes signals digitally instead of using conventional analog approaches. It offers more robust system stability and avoids unnecessary multichannel calibrations of analog circuits for a full polarimetric radar. Two kinds of dual-orthogonal signals together with corresponding processing algorithms have been investigated; the digital implementation architectures for all algorithms are then presented. Processing algorithms implemented in FPGA chips can be reconfigured adaptively regarding to different transmitted waveforms without modification of hardware. The successful development of such reconfigurable receiver extends our radar capacity and thus yields tremendous experimental flexibility for atmospheric remote sensing and polarimetric studies of ground-based targets.

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Li, Wen Hua, and Yu Ling Du. "Based on Fluid Digital Transmission and Control Theory on Application of Digital Hydraulic Valve." Advanced Materials Research 619 (December 2012): 455–58. http://dx.doi.org/10.4028/www.scientific.net/amr.619.455.

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A digital hydraulic valve is a new control theory and method, it is through the electronic control unit installed in a conventional valve, and integrated processing, the formation of a wide variety of digital valve，By the digital-to-analog conversion element is directly connected with the computer. Using the computer output pulse number and frequency to control electro hydraulic system pressure and measurement. The system proposed can make the hydraulic system has the advantages of high efficiency, high speed, high reliability. And used Matlab/Simulink software to control system performance simulation analysis, experiment and simulation results show that, this system has great application prospect and practical value.

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Zia, Ehsan, Ebrahim Farshidi, and Abdolnabi Kosarian. "A Split-Based Digital Background Calibration of Pipelined Analog-to-Digital Converters by Cubic Spline Interpolation Filtering." Circuits, Systems, and Signal Processing 38, no. 10 (March 13, 2019): 4799–816. http://dx.doi.org/10.1007/s00034-019-01090-5.

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Silva-Rivas, F., C. Y. Lu, P. Kode, B. K. Thandri, and J. Silva-Martinez. "Digital based calibration technique for continuous-time bandpass sigma-delta analog-to-digital converters." Analog Integrated Circuits and Signal Processing 59, no. 1 (November 27, 2008): 91–95. http://dx.doi.org/10.1007/s10470-008-9240-3.

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Delgadillo Bonequi, Ian, Abraham Stroschein, and Lucas J. Koerner. "A field-programmable gate array (FPGA)-based data acquisition system for closed-loop experiments." Review of Scientific Instruments 93, no. 11 (November 1, 2022): 114712. http://dx.doi.org/10.1063/5.0121898.

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We describe a custom and open source field-programmable gate array (FPGA)-based data acquisition (DAQ) system developed for electrophysiology and generally useful for closed-loop feedback experiments. FPGA acquisition and processing are combined with high-speed analog and digital converters to enable real-time feedback. The digital approach eases experimental setup and repeatability by allowing for system identification and in situ tuning of filter bandwidths. The FPGA system includes I2C and serial peripheral interface controllers, 1 GiB dynamic RAM for data buffering, and a USB3 interface to Python software. The DAQ system uses common HDMI connectors to support daughtercards that can be customized for a given experiment to make the system modular and expandable. The FPGA-based digital signal processing (DSP) is used to generate fourth-order digital infinite impulse response filters and feedback with microsecond latency. The FPGA-based DSP and an analog inner-loop are demonstrated via an experiment that rapidly steps the voltage of a capacitor isolated from the system by a considerable resistance using a feedback approach that adjusts the driving voltage based on the digitized capacitor current.

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Gu, Xiaoxiao, Jinyan Qi, Wence Zhang, Xianglan Dong, Xu Bao, and Jing Xia. "Optimal Design of Interleaved Subconnected Hybrid Structure for mmWave Massive MIMO Systems." Wireless Communications and Mobile Computing 2022 (September 13, 2022): 1–11. http://dx.doi.org/10.1155/2022/5932553.

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Massive multiple-input multiple-output (MIMO) systems based on millimeter-wave (mmWave) technology commonly utilize a combination of hybrid analog and digital signal processing to reduce the number of radiofrequency (RF) chains, cutting down the hardware costs and power consumption. The subconnected structure is one of the architectures that realize hybrid analog and digital processing, in which each RF chain is connected to a subset of antennas through phase shifters so as to reduce the implementation complexity. In this paper, we investigate the best subconnected structure design for mmWave massive MIMO systems. First, we formulate the optimization problem based on a simplified connection model. Next, we derive a suboptimal solution in closed form by leveraging the mmWave channel characteristics and discuss the impact of different connection parameters on the spectral efficiency. The spectral efficiency is closely related to the structure of the analog processing and the interantenna spacing. When the interantenna spacing is an even a multiple of half wavelength, the localized structure, i.e., i = 1 achieves the maximum spectral efficiency. When the interantenna spacing is an odd multiple of half wavelength and the analog processing is accomplished by i = 2 interleaved structure, the best performance is obtained. Numerical results demonstrate the correctness of the theoretical analysis.

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Ksenofontov, D. G., and V. N. Kostin. "Implementation of digital methods to analyze eddy-current signals based on the E14-440 module." Diagnostics, Resource and Mechanics of materials and structures, no. 6 (December 2021): 32–36. http://dx.doi.org/10.17804/2410-9908.2021.6.032-036.

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Nondestructive testing methods utilize various sensors, and different signal types require different processing methods. Digital implementation of signal processing methods can expand the variety of methods implemented by one system. An eddy-current test system based on the E14-440 module has been developed. Quadrature amplitude demodulation and fast Fourier transformation are implemented to analyze the signal. The amplitude, phase, and complex parts of the signal are calculated. It is shown that both methods are applicable and allow elimination of some analog circuits. However, digital signal processing significantly depends on conversion rates and synchronization between generation and pickup of the signal.

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Mohammed, Raya Kahtan, and Hamsa Abdulkareem Abdullah. "Implementation of digital and analog modulation systems using FPGA." Indonesian Journal of Electrical Engineering and Computer Science 18, no. 1 (April 1, 2020): 485. http://dx.doi.org/10.11591/ijeecs.v18.i1.pp485-493.

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<p><span>FPGA (Field Programmable Gate Array) based implementations of digital and analog modulation techniques play a vital rule in the design of signal processing system. The performance and flexibility provided by reconfigurable computing speeds up the development process in signal processing implementations using FPGA. Different methods for digital and analog modulation are designed in this paper by usinSg System Generator tools & Vivado. Then all designed systems are implemented successfully in an FPGA hardware via the NEXYS 4 DDR with ARTIX 7 XC7A100T. A comparison between five types of digital modulation techniques is discussed in terms of resources utilization in FPGA hardware. And also, the implementation of analog modulations in FPGA is contributed in this work. The hardware implementation shows that the number of slice LUTs in ASK modulation is 0.07% while in FSK modulation is 0.13% of the total number of slice LUTs. And also, the number of bounded IO that used for PSK modulation is 4.8% while in PM modulation is 61.4% of the total number bounded IO.</span></p>

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Spector, Steven, and Cheryl Sorace-Agaskar. "Silicon photonics devices for integrated analog signal processing and sampling." Nanophotonics 3, no. 4-5 (August 1, 2014): 313–27. http://dx.doi.org/10.1515/nanoph-2013-0036.

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AbstractSilicon photonics offers the possibility of a reduction in size weight and power for many optical systems, and could open up the ability to build optical systems with complexities that would otherwise be impossible to achieve. Silicon photonics is an emerging technology that has already been inserted into commercial communication products. This technology has also been applied to analog signal processing applications. MIT Lincoln Laboratory in collaboration with groups at MIT has developed a toolkit of silicon photonic devices with a focus on the needs of analog systems. This toolkit includes low-loss waveguides, a high-speed modulator, ring resonator based filter bank, and all-silicon photodiodes. The components are integrated together for a hybrid photonic and electronic analog-to-digital converter. The development and performance of these devices will be discussed. Additionally, the linear performance of these devices, which is important for analog systems, is also investigated.

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Wang, Hong Liang, Hai Rui Wang, and Hai Fei Ding. "Design of Data Acquisition and Storage System for Digital and Analog Signal Based on FPGA." Advanced Materials Research 605-607 (December 2012): 955–59. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.955.

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This paper mainly introduces a FPGA-based data acquisition system which is designed to acquire multi-channel analog signal and one channel digital signal. Analog data and digital data are stored into a FLASH memory in a mixed frame format. When the acquisition finished, the data in the FLASH was read out via the LVDS communication interface to a data-read device, and the host computer receives the data through the USB bus, so the subsequent data processing and analysis can be accomplished and the information we needed can be got. The design is applied successfully to a remote measurement system, and the data acquired is reliable and precise.

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Wang, Wei Hua. "The Design and Implementation of a Video Image Acquisition System Based on VFW." Applied Mechanics and Materials 380-384 (August 2013): 3787–90. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.3787.

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Along with the development of technologies on computer, electronic and communication, there are more and more applications of digital image acquisition and processing technology used in computer and portable systems, such as videophone, digital cameras, digital television, video monitoring, camera phones and video conferencing etc. Digitized image makes image digital transmit with high quality, which facilitates image retrieval, analysis, processing and storage. In applications such as video conferencing, it is a crucial premise to capture videos. So, in this paper, we mainly introduce the video capture technology by exploiting the VFM video services library developed by Microsoft. Software based on VFW can directly capture digital videos or digitize the traditional analog videos and then clipping them.

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Zarifi, Mohammad Hossein, Javad Frounchi, Shahin Farshchi, and Jack W. Judy. "A novel time-based low-power pipeline analog to digital converter." Analog Integrated Circuits and Signal Processing 62, no. 3 (July 24, 2009): 281–89. http://dx.doi.org/10.1007/s10470-009-9346-2.

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Saponara, Sergio, Tommaso Baldetti, Luca Fanucci, Emilio Volpi, and Francesco D’Ascoli. "High-level modeling of resistor string based digital-to-analog converters." Analog Integrated Circuits and Signal Processing 66, no. 3 (October 20, 2010): 407–16. http://dx.doi.org/10.1007/s10470-010-9544-y.

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Tang, Zhi Wei, and Xi Xuan Wu. "One Intelligent Video Surveillance System Based on DM642." Key Engineering Materials 474-476 (April 2011): 392–97. http://dx.doi.org/10.4028/www.scientific.net/kem.474-476.392.

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This article introduces an intelligent surveillance distributed system based on TMS320DM642. The system platform has many functions, such as OSD (on screen display), analog video output, digital video output, Hard Disk, Ethernet and so on. DM64. User can set the rules via the management software. The video input from analog cameras and IP cameras can be processed by DM642 according to the rules. If any event happens which acts against the rules, alarm will be given. The system provides immediate, accurate and intelligent services for users. In order to realize the complex image processing algorithms on DM642, we optimize the algorithms based on DSP and propose a series of rapid image processing algorithms. The design of the project puts the emphasis on the feasibility of distributed high-performance processing from both hardware and software aspects, which may be easily applied to other large scale or hard real-time intelligent information processing.

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Cheng, Kaiyang, Yuancheng Fan, Weixuan Zhang, Yubin Gong, Shen Fei, and Hongqiang Li. "Optical Realization of Wave-Based Analog Computing with Metamaterials." Applied Sciences 11, no. 1 (December 25, 2020): 141. http://dx.doi.org/10.3390/app11010141.

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Recently, the study of analog optical computing raised renewed interest due to its natural advantages of parallel, high speed and low energy consumption over conventional digital counterpart, particularly in applications of big data and high-throughput image processing. The emergence of metamaterials or metasurfaces in the last decades offered unprecedented opportunities to arbitrarily manipulate the light waves within subwavelength scale. Metamaterials and metasurfaces with freely controlled optical properties have accelerated the progress of wave-based analog computing and are emerging as a practical, easy-integration platform for optical analog computing. In this review, the recent progress of metamaterial-based spatial analog optical computing is briefly reviewed. We first survey the implementation of classical mathematical operations followed by two fundamental approaches (metasurface approach and Green’s function approach). Then, we discuss recent developments based on different physical mechanisms and the classical optical simulating of quantum algorithms are investigated, which may lead to a new way for high-efficiency signal processing by exploiting quantum behaviors. The challenges and future opportunities in the booming research field are discussed.

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Wang, Di, Jia Jun Zhou, Song Chen, Ying Yao, Liang Yin, and Xiao Wei Liu. "Design of the Digital in Signal Processing Platform of the Gyroscope Based on FPGA." Key Engineering Materials 609-610 (April 2014): 903–7. http://dx.doi.org/10.4028/www.scientific.net/kem.609-610.903.

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Gyroscope is a sensor thatmeasure angular velocity which is widely used in various fields [1]. The analogprocessing technology of Gyro-signal is very mature, but due to the noise andother shortcomings of the analog circuit, the development of micro-mechanical gyroscopeis limited. Digital gyroscope has superior performance and accuracy, so thesignal processing of gyroscope will take digital methods [2]. This paper designsa platform for the digital signal processing of Silicon gyroscope. By using FPGAextend A / D and D / A interface method implement the signals from outside inputto output, build a digital signal processing platform of the minimum system,then design the overall digital signal of the hardware part and the controlsection of the software part, synthesis the designed platform which doesn’tdepend on crafts use the Xilinx Synthesis tool and gave the synthesizedresults, verify the correctness of the design eventually.

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Tychuk, Ruslan B., and Sergii D. Petrovych. "ВИКОРИСТАННЯ ПРОГРАМ-ЕМУЛЯТОРІВ У НАВЧАННІ ФІЗИКИ МАЙБУТНІХ ТЕХНІКІВ ПРОГРАМІСТІВ." Information Technologies and Learning Tools 56, no. 6 (December 30, 2016): 137. http://dx.doi.org/10.33407/itlt.v56i6.1505.

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A modern gauge has been fused with digital and processor means of managing and processing information. Digital-to-analog (DACs) and analog-to-digital converters (ADCs) are widely used in various fields of modern science and technology. It is proposed to use the computer on the physics lessons and related subjects as the universal electric measuring device, which is based on using ADC and DAC audio adapter with an emphasis on the use of elements, means and principles of programming in its software. The study considers two aspects: methodology of teaching physics, gaining the professional competencies by engineer-programmers.

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HOMJAKOVS, Igors, Masanori HASHIMOTO, Tetsuya HIROSE, and Takao ONOYE. "Signal-Dependent Analog-to-Digital Conversion Based on MINIMAX Sampling." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E96.A, no. 2 (2013): 459–68. http://dx.doi.org/10.1587/transfun.e96.a.459.

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Park, Hyusim, Sungyong Jung, and Hoon-Ju Chung. "An analog correlator based CMOS analog front end with digital gain control circuit for hearing aid devices." Analog Integrated Circuits and Signal Processing 105, no. 2 (July 3, 2020): 157–65. http://dx.doi.org/10.1007/s10470-020-01680-3.

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Zhao, Ke, Jian Hua Jiang, Jun Fang Fu, and Jin Bo Xu. "Near-Infrared Spectroscopy Signal Extraction and Processing Design." Applied Mechanics and Materials 404 (September 2013): 555–59. http://dx.doi.org/10.4028/www.scientific.net/amm.404.555.

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This paper introduces the MSP430 MCU-based near-infrared spectrometer front-end signal extraction and software signal processing design.The system adopts phase locked loop technology to signal phase shift processing. Phase sensitive filtering function achieved by the balance modem AD630.Finally the analog signal is converted to digital signal by AD7715 for the microprocessor processed.Microprocessor receives digital signal, filter processing is performed using a first order lag filter method to determine the point of measurement value.Through the comparison analysis of the experimental testing result, the program has higher signal-to-noise ratio and suppress interference ability, high reliability, good stability,etc.

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Shi, Weiwei, Jinyong Zhang, Zhiguo Zhang, Lizhi Hu, and Yongqian Su. "An introduction and review on innovative silicon implementations of implantable/scalp EEG chips for data acquisition, seizure/behavior detection, and brain stimulation." Brain Science Advances 6, no. 3 (September 2020): 242–54. http://dx.doi.org/10.26599/bsa.2020.9050024.

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Technological advances in the semiconductor industry and the increasing demand and development of wearable medical systems have enabled the development of dedicated chips for complex electroencephalogram (EEG) signal processing with smart functions and artificial intelligence‐based detections/classifications. Around 10 million transistors are integrated into a 1 mm2 silicon wafer surface in the dedicated chip, making wearable EEG systems a powerful dedicated processor instead of a wireless raw data transceiver. The reduction of amplifiers and analog‐digital converters on the silicon surface makes it possible to place the analog front‐end circuits within a tiny packaged chip; therefore, enabling high‐count EEG acquisition channels. This article introduces and reviews the state‐of‐the‐art dedicated chip designs for EEG processing, particularly for wearable systems. Furthermore, the analog circuits and digital platforms are included, and the technical details of circuit topology and logic architecture are presented in detail.

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Scheytt, J. Christoph, Abdul Rehman Javed, Eswara Rao Bammidi, Karthik KrishneGowda, Ingmar Kallfass, and Rolf Kraemer. "100 Gbps Wireless System and Circuit Design Using Parallel Spread-Spectrum Sequencing." Frequenz 71, no. 9-10 (September 26, 2017): 399–414. http://dx.doi.org/10.1515/freq-2017-0174.

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Abstract In this article mixed analog/digital signal processing techniques based on parallel spread-spectrum sequencing (PSSS) and radio frequency (RF) carrier synchronization for ultra-broadband wireless communication are investigated on system and circuit level.

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Rhee, W., B. Parker, and D. Friedman. "A Semi-Digital Delay-Locked Loop Using an Analog-Based Finite State Machine." IEEE Transactions on Circuits and Systems II: Express Briefs 51, no. 11 (November 2004): 635–39. http://dx.doi.org/10.1109/tcsii.2004.836035.

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Fahmy, Ghazal A., and Mohamed Zorkany. "Design of a Memristor-Based Digital to Analog Converter (DAC)." Electronics 10, no. 5 (March 7, 2021): 622. http://dx.doi.org/10.3390/electronics10050622.

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A memristor element has been highlighted in recent years and has been applied to several applications. In this work, a memristor-based digital to analog converter (DAC) was proposed due to the fact that a memristor has low area, low power, and a low threshold voltage. The proposed memristor DAC depends on the basic DAC cell, consisting of two memristors connected in opposite directions. This basic DAC cell was used to build and simulate both a 4 bit and an 8 bit DAC. Moreover, a sneak path issue was illustrated and its solution was provided. The proposed design reduced the area by 40%. The 8 bit memristor DAC has been designed and used in a successive approximation register analog to digital converter (SAR-ADC) instead of in a capacitor DAC (which would require a large area and consume more switching power). The SAR-ADC with a memristor-based DAC achieves a signal to noise and distortion ratio (SNDR) of 49.3 dB and a spurious free dynamic range (SFDR) of 61 dB with a power supply of 1.2 V and a consumption of 21 µW. The figure of merit (FoM) of the proposed SAR-ADC is 87.9 fj/Conv.-step. The proposed designs were simulated with optimized parameters using a voltage threshold adaptive memristor (VTEAM) model.

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Naga Chakravarthi Manepalli, Venkata, and Chandramohan Bhuma. "Optimization Algorithms based compensation of mismatches in Time interleaved Analog to Digital Converters." International journal of electrical and computer engineering systems 13, no. 3 (April 19, 2022): 237–44. http://dx.doi.org/10.32985/ijeces.13.3.8.

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Time interleaved analog to digital converters (TIADCs) play a significant role in signal processing wherever higher sampling rates are required. However, TIADCs suffer from various mismatches like sampling time, dc offset, gain, bandwidth etc. This results in generation of erroneous signal. Numerous methods were proposed for estimation of these mismatches and for correction of the erroneous signal. Optimization algorithms like genetic algorithm (GA), differential evolution (DE) algorithm were also used for estimation of mismatches. An overview of these algorithms and their performance comparison, with respect to various signal quality metrics like signal to noise ratio (SNR), signal to noise, distortion ratio (SNDR) etc, is given in this article.

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Nishitani, T., T. Konishi, H. Furukawa, and K. Itoh. "All-optical digital-to-analog conversion using pulse pattern recognition based on optical correlation processing." Optics Express 13, no. 25 (2005): 10310. http://dx.doi.org/10.1364/opex.13.010310.

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Li, XiaoFu, Md Raf E Ul Shougat, Tushar Mollik, Robert N. Dean, Aubrey N. Beal, and Edmon Perkins. "Field-programmable analog array (FPAA) based four-state adaptive oscillator for analog frequency analysis." Review of Scientific Instruments 94, no. 3 (March 1, 2023): 035103. http://dx.doi.org/10.1063/5.0129365.

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Adaptive oscillators are a subset of nonlinear oscillators that can learn and encode information in dynamic states. By appending additional states onto a classical Hopf oscillator, a four-state adaptive oscillator is created that can learn both the frequency and amplitude of an external forcing frequency. Analog circuit implementations of nonlinear differential systems are usually achieved by using operational amplifier-based integrator networks, in which redesign procedures of the system topology is time consuming. Here, an analog implementation of a four-state adaptive oscillator is presented for the first time as a field-programmable analog array (FPAA) circuit. The FPAA diagram is described, and the hardware performance is presented. This simple FPAA-based oscillator can be used as an analog frequency analyzer, as its frequency state will evolve to match the external forcing frequency. Notably, this is done without any analog-to-digital conversion or pre-processing, making it an ideal frequency analyzer for low-power and low-memory applications.

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Han, Yaodong, Kai Ni, Xinghui Li, Guanhao Wu, Kangning Yu, Qian Zhou, and Xiaohao Wang. "An FPGA Platform for Next-Generation Grating Encoders." Sensors 20, no. 8 (April 16, 2020): 2266. http://dx.doi.org/10.3390/s20082266.

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Among various nanometer-level displacement measurement methods, grating interferometry-based linear encoders are widely used due to their high robustness, relatively low cost, and compactness. One trend of grating encoders is multi-axis measurement capability for simultaneous precision positioning and small order error motion measurement. However, due to both lack of suitable hardware data processing platform and of a real-time displacement calculation system, meeting the requirements of real-time data processing while maintaining the nanometer order resolutions on all these axes is a challenge. To solve above-mentioned problem, in this paper we introduce a design and experimental validation of a field programmable gate array (FPGA)-cored real-time data processing platform for grating encoders. This platform includes the following functions. First, a front-end photodetector and I/V conversion analog circuit are used to realize basic analog signal filtering, while an eight-channel parallel, 16-bit precision, 200 kSPS maximum acquisition rate Analog-to-digital (ADC) is used to obtain digital signals that are easy to process. Then, an FPGA-based digital signal processing platform is implemented, which can calculate the displacement values corresponding to the phase subdivision signals in parallel and in real time at high speed. Finally, the displacement result is transferred by USB2.0 to the PC in real time through an Universal Asynchronous Receiver/Transmitter (UART) serial port to form a complete real-time displacement calculation system. The experimental results show that the system achieves real-time data processing and displacement result display while meeting the high accuracy of traditional offline data solution methods, which demonstrates the industrial potential and practicality of our absolute two-dimensional grating scale displacement measurement system.

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Qiu, Jinpeng, Tong Liu, Xubin Chen, Yongheng Shang, Jiongjiong Mo, Zhiyu Wang, Hua Chen, Jiarui Liu, Jingjing Lv, and Faxin Yu. "A New Digital to Analog Converter Based on Low-Offset Bandgap Reference." Journal of Electrical and Computer Engineering 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/1658695.

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This paper presents a new 12-bit digital to analog converter (DAC) circuit based on a low-offset bandgap reference (BGR) circuit with two cascade transistor structure and two self-contained feedback low-offset operational amplifiers to reduce the effects of offset operational amplifier voltage effect on the reference voltage, PMOS current-mirror mismatch, and its channel modulation. A Start-Up circuit with self-bias current architecture and multipoint voltage monitoring is employed to keep the BGR circuit working properly. Finally, a dual-resistor ladder DAC-Core circuit is used to generate an accuracy DAC output signal to the buffer operational amplifier. The proposed circuit was fabricated in CSMC 0.5 μm 5 V 1P4M process. The measured differential nonlinearity (DNL) of the output voltages is less than 0.45 LSB and integral nonlinearity (INL) less than 1.5 LSB at room temperature, consuming only 3.5 mW from a 5 V supply voltage. The DNL and INL at −55°C and 125°C are presented as well together with the discussion of possibility of improving the DNL and INL accuracy in future design.

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de la Rosa, Jose M. "Bandpass Sigma–Delta Modulation: The Path toward RF-to-Digital Conversion in Software-Defined Radio." Chips 2, no. 1 (March 2, 2023): 44–69. http://dx.doi.org/10.3390/chips2010004.

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This paper reviews the state of the art on bandpass ΣΔ modulators (BP-ΣΔMs) intended to digitize radio frequency (RF) signals. A priori, this is the most direct way to implement software-defined radio (SDR) systems since the analog/digital interface is placed closer to the antenna, thus reducing the analog circuitry and doing most of the signal processing in the digital domain. In spite of their higher programmability and scalability, RF BP-ΣΔM analog-to-digital converters (ADCs) require more energy to operate in the GHz range as compared with their low-pass (LP) counterparts. This makes conventional direct conversion receivers (DCRs) the commonplace approach due to their overall smaller energy consumption. This paper surveys some circuits and systems techniques which can make RF ADCs and SDR-based transceivers more efficient and feasible to be embedded in mobile terminals.

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Journal articles on the topic 'Digital-Based analog processing'

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