Relevant bibliographies by topics / Conditioning and processing electrical signal

Academic literature on the topic 'Conditioning and processing electrical signal'

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Published: 25 May 2024

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Journal articles on the topic "Conditioning and processing electrical signal"

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Rei, Silviu, Dan Chicea, Beriliu Ilie, and Sorin Olaru. "Dynamic Light Scattering Signal Conditioning for Data Processing." ACTA Universitatis Cibiniensis 69, no. 1 (December 20, 2017): 130–35. http://dx.doi.org/10.1515/aucts-2017-0016.

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Abstract When performing data acquisition for a Dynamic Light Scattering experiment, one of the most important aspect is the filtering and conditioning of the electrical signal. The signal is amplified first and then fed as input for the analog digital convertor. As a result a digital time series is obtained. The frequency spectrum is computed by the logical unit offering the basis for further Dynamic Light Scattering analysis methods. This paper presents a simple setup that can accomplish the signal conditioning and conversion to a digital time series.
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Zulkiflli, Nur Amira, Kaviarasu Nandaguru, Omar Fahmi Arm, Feisal Mohamed Khamis, Ahmad Ridhwan Wahap, Fatin Aliah Phang Abdullah, Kian Sek Tee, Nurul Hidayat, and Jaysuman Pusppanathan. "Electrical Impedance Tomography Signal Conditioning for Lung Imaging Applications." Journal of Human Centered Technology 2, no. 2 (August 6, 2023): 78–87. http://dx.doi.org/10.11113/humentech.v2n2.58.

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Electrical impedance tomography (EIT) imaging is capable for human lung imaging based on its continuous self-monitoring capabilities, and suitability for daily routines. This paper introduces a simulation work for EIT signal conditioning circuit and its simulated waveform response using Multisim software. EIT circuit simulations consist of several signal processing circuits for the receiving part of the EIT, band pass filter circuit, amplifier, and analog-to-digital circuit. The system produced a unit function signal of 5V from an input 250 kHz sine function via band pass filter, operational amplifier and AC/DC conversion. The waveform pattern result is presented for each processing stage aim to demonstrate the basic work of an EIT circuitry setup.
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Payo, Ismael, José L. Polo, Blanca López, Diana Serrano, Antonio M. Rodríguez, M. Antonia Herrero, Ana Martín-Pacheco, Inmaculada Sánchez, and Ester Vázquez. "Signal conditioning circuit for gel strain sensors." Smart Materials and Structures 31, no. 1 (November 25, 2021): 015020. http://dx.doi.org/10.1088/1361-665x/ac36e0.

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Abstract Conductive hydrogels are soft materials which have been used by some researchers as resistive strain sensors in the last years. The electrical resistance change, when the sensor is stretched or compressed, is usually measured by the two-electrode method. This method is not always suitable to measure the electrical resistance of polymers-based materials, like hydrogels, because it could be highly influenced by the electrode/sample interface, as explained in this study. For this reason, a signal conditioning circuit, based on four-electrode impedance measurements, is proposed to measure the electrical resistance change when the gel is stretched or compressed. Experimental results show that the tested gels can be used as resistance force/pressure sensors with a quite linear behaviour.
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Celka, Patrick, Rolf Vetter, Philippe Renevey, Christophe Verjus, Victor Neuman, Jean Luprano, Jean-Dominique Decotignie, and Christian Piguet. "Wearable biosensing: signal processing and communication architectures issues." Journal of Telecommunications and Information Technology, no. 4 (December 30, 2005): 90–104. http://dx.doi.org/10.26636/jtit.2005.4.340.

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Long-term monitoring of human vital signs is becoming one of the most important fields of research of biomedical engineering. In order to achieve weeks to months of monitoring, new strategies for sensing, conditioning, processing and communication have to be developed. Several strategies are emerging and show different possible architectures. This paper essentially focuses on issues in wearable biosignal processing and communication architecture currently running at the Swiss Center for Electronics andMicrotechnology (CSEM) in the framework of several European projects.
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Allén, Markus, Jaakko Marttila, and Mikko Valkama. "Modeling and mitigation of nonlinear distortion in wideband A/D converters for cognitive radio receivers." International Journal of Microwave and Wireless Technologies 2, no. 2 (April 2010): 183–92. http://dx.doi.org/10.1017/s1759078710000292.

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This article discusses the reduction of nonlinearities in analog-to-digital (A/D) converters using digital signal processing (DSP). Also modeling of certain essential nonlinearities is considered in detail. The main focus is on wideband radio receivers, such as the emerging cognitive radio applications, where a collection of signals at different frequency channels is converted to digital domain as a whole. Therefore, the overall dynamic range can easily be in the order of tens of dBs and thus even mild nonlinear distortion can cause strong carriers to block weaker signal bands. In this article, a mathematical model for clipping distortion due to improper input signal conditioning is derived through Fourier analysis. Additionally, stemming from the analysis an adaptive DSP-based post-processing method for reducing the effects of clipping and integral nonlinearity (INL) in A/D converters is presented with illustrative examples using both computer simulations and laboratory radio signal measurements.
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Riches, S. T., C. Johnston, M. Sousa, and P. Grant. "High Temperature Endurance of Packaged SOI Devices for Signal Conditioning and Processing Applications." Additional Conferences (Device Packaging, HiTEC, HiTEN, and CICMT) 2011, HITEN (January 1, 2011): 000251–54. http://dx.doi.org/10.4071/hiten-paper8-sriches.

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Silicon on Insulator (SOI) device technology is fulfilling a niche requirement for electronics that functions satisfactorily at operating temperatures of >200°C. Most of the reliability data on the high temperature endurance of the devices is generated on the device itself with little attention being paid to the packaging technology around the device. Similarly, most of the reliability data generated on high temperature packaging technologies uses testpieces rather than real devices, which restricts any conclusions on long term electrical performance. This paper presents results of high temperature endurance studies on SOI devices combined with high temperature packaging technologies relevant to signal conditioning and processing functions for sensors in down-well and aero-engine applications. The endurance studies have been carried out for up to 7,056 hours at 250°C, with functioning devices being tested periodically at room temperature, 125°C and 250°C. Different die attach and wire bond options have been included in the study and the performance of multiplexers, transistors, bandgap voltage, oscillators and voltage regulators functional blocks have been characterised. This work formed part of the UPTEMP project which was set-up with support from UK Technology Strategy Board and the EPSRC. The project brought together a consortium of end-users (Sondex Wireline and Vibro-Meter UK), electronic module manufacturers (GE Aviation Systems Newmarket) and material suppliers (Gwent Electronic Materials and Thermastrate Ltd) with Oxford University-Materials Department, the leading UK high temperature electronics research centre.
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Wu, Chenning, Martin Hutton, and Manuchehr Soleimani. "Smart Water Meter Using Electrical Resistance Tomography." Sensors 19, no. 14 (July 10, 2019): 3043. http://dx.doi.org/10.3390/s19143043.

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Smart flow monitoring is critical for sewer system management. Obstructions and restrictions to flow in discharge pipes are common and costly. We propose the use of electrical resistance tomography modality for the task of smart wastewater metering. This paper presents the electronics hardware design and bespoke signal processing to create an embedded sensor for measuring flow rates and flow properties, such as constituent materials in sewage or grey water discharge pipes of diameters larger than 250 mm. The dedicated analogue signal conditioning module, zero-cross switching scheme, and real-time operating system enable the system to perform low-cost serial measurements while still providing the capability of real-time capturing. The system performance was evaluated via both stationary and dynamic experiments. A data acquisition speed of 14 frames per second (fps) was achieved with an overall signal to noise ratio of at least 59.54 dB. The smallest sample size reported was 0.04% of the domain size in stationary tests, illustrating good resolution. Movements have been successfully captured in dynamic tests, with a clear definition being achieved of objects in each reconstructed image, as well as a fine overall visualization of movement.
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de Faria, Gabriella Maria, Eugênia Gonzales Lopes, Eleonora Tobaldini, Nicola Montano, Tatiana Sousa Cunha, Karina Rabello Casali, and Henrique Alves de Amorim. "Advances in Non-Invasive Neuromodulation: Designing Closed-Loop Devices for Respiratory-Controlled Transcutaneous Vagus Nerve Stimulation." Healthcare 12, no. 1 (December 22, 2023): 31. http://dx.doi.org/10.3390/healthcare12010031.

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Studies suggest non-invasive transcutaneous auricular vagus nerve stimulation (taVNS) as a potential therapeutic option for various pathological conditions, such as epilepsy and depression. Exhalation-controlled taVNS, which synchronizes stimulation with internal body rhythms, holds promise for enhanced neuromodulation, but there is no closed-loop system in the literature capable of performing such integration in real time. In this context, the objective was to develop real-time signal processing techniques and an integrated closed-loop device with sensors to acquire physiological data. After a conditioning stage, the signal is processed and delivers synchronized electrical stimulation during the patient’s expiratory phase. Additional modules were designed for processing, software-controlled selectors, remote and autonomous operation, improved analysis, and graphical visualization. The signal processing method effectively extracted respiratory cycles and successfully attenuated signal noise. Heart rate variability was assessed in real time, using linear statistical evaluation. The prototype feedback stimulator device was physically constructed. Respiratory peak detection achieved an accuracy of 90%, and the real-time processing resulted in a small delay of up to 150 ms in the detection of the expiratory phase. Thus, preliminary results show promising accuracy, indicating the need for additional tests to optimize real-time processing and the application of the prototype in clinical studies.
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Chen, Xiyuan, Loic Maxwell, Franklin Li, Amrita Kumar, Elliot Ransom, Tanay Topac, Sera Lee, Mohammad Faisal Haider, Sameh Dardona, and Fu-Kuo Chang. "Design and Integration of a Wireless Stretchable Multimodal Sensor Network in a Composite Wing." Sensors 20, no. 9 (April 29, 2020): 2528. http://dx.doi.org/10.3390/s20092528.

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This article presents the development of a stretchable sensor network with high signal-to-noise ratio and measurement accuracy for real-time distributed sensing and remote monitoring. The described sensor network was designed as an island-and-serpentine type network comprising a grid of sensor “islands” connected by interconnecting “serpentines.” A novel high-yield manufacturing process was developed to fabricate networks on recyclable 4-inch wafers at a low cost. The resulting stretched sensor network has 17 distributed and functionalized sensing nodes with low tolerance and high resolution. The sensor network includes Piezoelectric (PZT), Strain Gauge (SG), and Resistive Temperature Detector (RTD) sensors. The design and development of a flexible frame with signal conditioning, data acquisition, and wireless data transmission electronics for the stretchable sensor network are also presented. The primary purpose of the frame subsystem is to convert sensor signals into meaningful data, which are displayed in real-time for an end-user to view and analyze. The challenges and demonstrated successes in developing this new system are demonstrated, including (a) developing separate signal conditioning circuitry and components for all three sensor types (b) enabling simultaneous sampling for PZT sensors for impact detection and (c) configuration of firmware/software for correct system operation. The network was expanded with an in-house developed automated stretch machine to expand it to cover the desired area. The released and stretched network was laminated into an aerospace composite wing with edge-mount electronics for signal conditioning, processing, power, and wireless communication.
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Nathan, Arokia. "Microsensors for physical signals: Principles, device design, and fabrication technologies." Canadian Journal of Physics 74, S1 (December 1, 1996): 115–30. http://dx.doi.org/10.1139/p96-844.

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Microsensors are miniaturized devices, fabricated using silicon-based and related technologies, that convert input physical and chemical signals into an output electrical signal. The key driving force in microsensor research has been the integrated circuit (IC) and micromachining technologies. The latter, in particular, is fueling tremendous activity in micro-electromechanical systems (MEMS). In terms of technology and design tools, MEMS is at a stage where microelectronics was 30 years ago and is expected to evolve at an equally rapid pace. The synergy between the IC, micromachining, and integrated photonics technologies can potentially spawn a new generation of microsystems that will feature a unique marriage of microsensor, signal-conditioning and -processing circuitry, micromechanics, and optomechanics possibly on a single chip. In this paper, the physical transduction principles, materials considerations, process-fabrication technologies, and computer-aided-design (CAD) tools will be reviewed along with pertinent examples drawn from our microsensor research activity at the Microelectronics Laboratory, University of Waterloo.
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Dissertations / Theses on the topic "Conditioning and processing electrical signal"

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Valero, Daniel. "Wireless Signal Conditioning." Thesis, University of North Texas, 2016. https://digital.library.unt.edu/ark:/67531/metadc862776/.

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This thesis presents a new approach to extend and reduce the transmission range in wireless systems. Conditioning is defined as purposeful electromagnetic interference that affects a wireless signal as it propagates through the air. This interference can be used constructively to enhance a signal and increase its energy, or destructively to reduce energy. The constraints and limitations of the technology are described as a system model, and a flow chart is used to describe the circuit process. Remaining theoretical in nature, practical circuit implementations are foregone in the interest of elementary simulations depicting the interactions of modulated signals as they experience phase mismatch. Amplitude modulation and frequency modulation are explored with using both positive and negative conditioning, and conclusions to whether one is more suitable than the other are made.
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Lee, Li 1975. "Distributed signal processing." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/86436.

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Eldar, Yonina Chana 1973. "Quantum signal processing." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/16805.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2002.
Includes bibliographical references (p. 337-346).
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Quantum signal processing (QSP) as formulated in this thesis, borrows from the formalism and principles of quantum mechanics and some of its interesting axioms and constraints, leading to a novel paradigm for signal processing with applications in areas ranging from frame theory, quantization and sampling methods to detection, parameter estimation, covariance shaping and multiuser wireless communication systems. The QSP framework is aimed at developing new or modifying existing signal processing algorithms by drawing a parallel between quantum mechanical measurements and signal processing algorithms, and by exploiting the rich mathematical structure of quantum mechanics, but not requiring a physical implementation based on quantum mechanics. This framework provides a unifying conceptual structure for a variety of traditional processing techniques, and a precise mathematical setting for developing generalizations and extensions of algorithms. Emulating the probabilistic nature of quantum mechanics in the QSP framework gives rise to probabilistic and randomized algorithms. As an example we introduce a probabilistic quantizer and derive its statistical properties. Exploiting the concept of generalized quantum measurements we develop frame-theoretical analogues of various quantum-mechanical concepts and results, as well as new classes of frames including oblique frame expansions, that are then applied to the development of a general framework for sampling in arbitrary spaces. Building upon the problem of optimal quantum measurement design, we develop and discuss applications of optimal methods that construct a set of vectors.
(cont.) We demonstrate that, even for problems without inherent inner product constraints, imposing such constraints in combination with least-squares inner product shaping leads to interesting processing techniques that often exhibit improved performance over traditional methods. In particular, we formulate a new viewpoint toward matched filter detection that leads to the notion of minimum mean-squared error covariance shaping. Using this concept we develop an effective linear estimator for the unknown parameters in a linear model, referred to as the covariance shaping least-squares estimator. Applying this estimator to a multiuser wireless setting, we derive an efficient covariance shaping multiuser receiver for suppressing interference in multiuser communication systems.
by Yonina Chana Eldar.
Ph.D.
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Vasconcellos, Brett W. (Brett William) 1977. "Parallel signal-processing for everyone." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/9097.

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Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.
Includes bibliographical references (p. 65-67).
We designed, implemented, and evaluated a signal-processing environment that runs on a general-purpose multiprocessor system, allowing easy prototyping of new algorithms and integration with applications. The environment allows the composition of modules implementing individual signal-processing algorithms into a functional application, automatically optimizing their performance. We decompose the problem into four independent components: signal processing, data management, scheduling, and control. This simplifies the programming interface and facilitates transparent parallel signal processing. For tested applications, our system both runs efficiently on single-processors systems and achieves near-linear speedups on symmetric-multiprocessor (SMP) systems.
by Brett W. Vasconcellos.
M.Eng.
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Baran, Thomas A. (Thomas Anthony). "Conservation in signal processing systems." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/74991.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 205-209).
Conservation principles have played a key role in the development and analysis of many existing engineering systems and algorithms. In electrical network theory for example, many of the useful theorems regarding the stability, robustness, and variational properties of circuits can be derived in terms of Tellegen's theorem, which states that a wide range of quantities, including power, are conserved. Conservation principles also lay the groundwork for a number of results related to control theory, algorithms for optimization, and efficient filter implementations, suggesting potential opportunity in developing a cohesive signal processing framework within which to view these principles. This thesis makes progress toward that goal, providing a unified treatment of a class of conservation principles that occur in signal processing systems. The main contributions in the thesis can be broadly categorized as pertaining to a mathematical formulation of a class of conservation principles, the synthesis and identification of these principles in signal processing systems, a variational interpretation of these principles, and the use of these principles in designing and gaining insight into various algorithms. In illustrating the use of the framework, examples related to linear and nonlinear signal-flow graph analysis, robust filter architectures, and algorithms for distributed control are provided.
by Thomas A. Baran.
Ph.D.
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South, Colin R. "Signal processing in a loudspeaking telephone." Thesis, Aston University, 1985. http://publications.aston.ac.uk/8053/.

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One of the major problems associated with communication via a loudspeaking telephone (LST) is that, using analogue processing, duplex transmission is limited to low-loss lines and produces a low acoustic output. An architectural for an instrument has been developed and tested, which uses digital signal processing to provide duplex transmission between a LST and a telopnone handset over most of the B.T. network. Digital adaptive-filters are used in the duplex LST to cancel coupling between the loudspeaker and microphone, and across the transmit to receive paths of the 2-to-4-wire converter. Normal movement of a person in the acoustic path causes a loss of stability by increasing the level of coupling from the loudspeaker to the microphone, since there is a lag associated the adaptive filters learning about a non-stationary path, Control of the loop stability and the level of sidetone heard by the hadset user is by a microprocessoe, which continually monitors the system and regulates the gain. The result is a system which offers the best compromise available based on a set of measured parameters. A theory has been developed which gives the loop stability requirements based on the error between the parameters of the filter and those of the unknown path. The programme to develope a low-cost adaptive filter in LST produced a low-cost adaptive filter in LST produced a unique architecture which has a number of features not available in any similar system. These include automatic compensation for the rate of adaptation over a 36 dB range of output level, , 4 rates of adaptation (with a maximum of 465 dB/s), plus the ability to cascade up to 4 filters without loss o performance. A complex story has been developed to determine the adptation which can be achieved using finite-precision arithmatic. This enabled the development of an architecture which distributed the normalisation required to achieve optimum rate of adaptation over the useful input range. Comparison of theory and measurement for the adaptive filter show very close agreement. A single experimental LST was built and tested on connections to hanset telephones over the BT network. The LST demonstrated that duplex transmission was feasible using signal processing and produced a more comfortable means of communication beween people than methods emplying deep voice-switching to regulate the local-loop gain. Although, with the current level of processing power, it is not a panacea and attention must be directed toward the physical acoustic isolation between loudspeaker and microphone.
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Boufounos, Petros T. 1977. "Signal processing for DNA sequencing." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/17536.

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Thesis (M.Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.
Includes bibliographical references (p. 83-86).
DNA sequencing is the process of determining the sequence of chemical bases in a particular DNA molecule-nature's blueprint of how life works. The advancement of biological science in has created a vast demand for sequencing methods, which needs to be addressed by automated equipment. This thesis tries to address one part of that process, known as base calling: it is the conversion of the electrical signal-the electropherogram--collected by the sequencing equipment to a sequence of letters drawn from ( A,TC,G ) that corresponds to the sequence in the molecule sequenced. This work formulates the problem as a pattern recognition problem, and observes its striking resemblance to the speech recognition problem. We, therefore, propose combining Hidden Markov Models and Artificial Neural Networks to solve it. In the formulation we derive an algorithm for training both models together. Furthermore, we devise a method to create very accurate training data, requiring minimal hand-labeling. We compare our method with the de facto standard, PHRED, and produce comparable results. Finally, we propose alternative HMM topologies that have the potential to significantly improve the performance of the method.
by Petros T. Boufounos.
M.Eng.and S.B.
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Ponnala, Lalit. "Analysis of Genetic Translation using Signal Processing." NCSU, 2007. http://www.lib.ncsu.edu/theses/available/etd-02072007-174200/.

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A series of free energy estimates can be calculated from the ribosome's progressive interaction with mRNA sequences during the process of translation elongation in eubacteria. A sinusoidal pattern of roughly constant phase has been detected in these free energy signals. Frameshifts of the +1 type occur when the ribosome skips an mRNA base in the 5'-3' direction, and can be associated with local phase-shifts in the free energy signal. We propose a mathematical model that captures the mechanism of frameshift based on the information content of the signal parameters and the relative abundance of tRNA in the bacterial cell. The model shows how translational speed can modulate translational accuracy to accomplish programmed +1 frameshifts and could have implications for the regulation of translational efficiency. Results are presented using experimentally verified frameshift genes across eubacteria.
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Wang, Yingying. "ADVANCED ANALOG SIGNAL PROCESSING FOR WIRELESS COMMUNICATIONS." Case Western Reserve University School of Graduate Studies / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1585776428631869.

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Ali-Bakhshian, Mohammad. "Digital processing of analog information adopting time-mode signal processing." Thesis, McGill University, 2013. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=114237.

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As CMOS technologies advance to 22-nm dimensions and below, constructing analog circuits in such advanced processes suffers many limitations, such as reduced signal swings, sensitivity to thermal noise effects, loss of accurate switching functions, to name just a few. Time-Mode Signal Processing (TMSP) is a technique that is believed to be well suited for solving many of these challenges. It can be defined as the detection, storage, and manipulation of sampled analog information using time-mode variables. One of the important advantages of TMSP is the ability to realize analog functions using digital logic structures. This technique has a long history of application in electronics; however, due to lack of some fundamental functions, the use of TM variables has been mostly limited to intermediate stage processing and it has been always associated with voltage/current-to-time and time-to-voltage/current conversion. These conversions necessitate the inclusion of analog blocks that contradict the digital advantage of TMSP. In this thesis, an intensive research has been presented that provides an appropriate foundation for the development of TMSP as a general processing tool. By proposing the new concept of delay interruption, a completely new asynchronous approach for the manipulation of TM variables is suggested. As a direct result of this approach, practical techniques for storage, addition and subtraction of time-mode variables are presented. To Extend the digital implementation of TMSP to a wider range of applications, the comprehensive design of a unity gain dual-path time-to-time integrator (accumulator) is demonstrated. This integrator is then used to implement a digital second-order delta-sigma modulator. Finally, to demonstrate the advantage of TMSP, a very low power and compact tunable interface for capacitive sensors is presented that is composed of a number of delay blocks associated with typical logic gates. All the proposed theories are supported by experimental results and post-layout simulations.The emphasis on the digital construction of the proposed circuits has been the first priority of this thesis. Having the building blocks implemented with a digital structure, provides the feasibility of a simple, synthesizable, and reconfigurable design where affordable circuit calibrations can be adopted to remove the effects of process variations.
Les technologies CMOS progressant vers les procédés 22 nm et au delà, la abrication des circuits analogiques dans ces technologies se heurte a de nombreuses limitations. Entre autres limitations on peut citer la réduction d'amplitude des signaux, la sensibilité aux effets du bruit thermique et la perte de fonctions précises de commutation. Le traitement de signal en mode temps (TMSP pour Time-Mode Signal Processing) est une technique que l'on croit être bien adapté pour résoudre un grand nombre de problèmes relatifs a ces limitations. TMSP peut être défini comme la détection, le stockage et la manipulation de l'information analogique échantillonnée en utilisant des quantités de temps comme variables. L'un des avantages importants de TMSP est la capacité à réaliser des fonctions analogiques en utilisant des structures logiques digitales. Cette technique a une longue histoire en terme d'application en électronique. Cependant, en raison du manque de certaines fonctions fondamentales, l'utilisation de variables en mode temps a été limitée à une utilisation comme étape intermédiaire dans le traitement d'un signal et toujours dans le contexte d'une conversion tension/courant-temps et temps-tension/courant. Ces conversions nécessitent l'inclusion de blocs analogiques qui vont a l'encontre de l'avantage numérique des TMSP. Cette thèse fournit un fondement approprié pour le développement de TMSP comme outil général de traitement de signal. En proposant le concept nouveau d'interruption de retard, une toute nouvelle approche asynchrone pour la manipulation de variables en mode temps est suggéré. Comme conséquence directe de cette approche, des techniques pratiques pour le stockage, l'addition et la soustraction de variables en mode temps sont présentées. Pour étendre l'implémentation digitale de TMSP à une large gamme d'applications, la conception d'un intégrateur (accumulateur) à double voie temps- à -temps est démontrée. cet intégrateur est ensuite utilisé pour implémenter un modulateur delta-sigma de second ordre.Enfin, pour démontrer l'avantage de TMSP, une Interface de très basse puissance, compacte et réglable pour capteurs capacitifs est présenté. Cette interface est composé d'un certain nombre de blocs de retard associés à des portes logiques typiques. Toutes les théories proposées sont soutenues par des résultats expérimentaux et des simulations post-layout. L'implémentation digitale des circuits proposés a été la première priorité de cette thèse. En effet, une implémentation des bloc avec des structures digitales permet des conceptions simples, synthétisable et reconfigurables où des circuits de calibration très abordables peuvent être adoptées pour éliminer les effets des variations de process.
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Books on the topic "Conditioning and processing electrical signal"

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Larson, William E. Universal signal conditioning amplifier. [Washington, D.C: National Aeronautics and Space Administration, 1994.

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Webster, John G. Electrical measurement, signal processing, and displays. Boca Raton: CRC Press, 2003.

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1932-, Webster John G., ed. Electrical measurement, signal processing, and displays. Boca Raton: CRC Press, 2004.

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Seippel, Robert G. Transducer interfacing: Signal conditioning for process control. Englewood Cliffs, N.J: Prentice-Hall, 1988.

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Das, Apurba. Signal Conditioning: An Introduction to Continuous Wave Communication and Signal Processing. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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Veatch, Donald W. Analog signal conditioning for flight-test instrumentation. Washington, D.C: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1986.

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Veatch, Donald W. Analog signal conditioning for flight-test instrumentation. [Washington, DC]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1987.

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Veatch, Donald W. Analog signal conditioning for flight-test instrumentation. [Washington, DC]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1987.

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Veatch, Donald W. Analogue signal conditioning for flight test instrumentation. Neuilly sur Seine, France: North Atlantic Treaty Organization, Advisory Group for Aerospace Research and Development, 1986.

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Al-Bassiouni, Abdel-Aziz Mahmoud. Optimum signal processing in distributed sensor systems. Monterey, Calif: Naval Postgraduate School, 1987.

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Book chapters on the topic "Conditioning and processing electrical signal"

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Barboni, Leonardo, and Maunzio Valle. "Signal Conditioning System Analysis for Adaptive Signal Processing in Wireless Sensors." In Lecture Notes in Electrical Engineering, 291–94. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-3606-3_56.

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Das, Apurba. "Wavelets: Multi-Resolution Signal Processing." In Signal Conditioning, 243–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28818-0_10.

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Berns, Karsten, Alexander Köpper, and Bernd Schürmann. "Signal Processing." In Lecture Notes in Electrical Engineering, 197–226. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65157-2_7.

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Lu, Julia Hsin-Lin, and Byunghoo Jung. "Sensor Conditioning Circuits." In Integrated Circuits for Analog Signal Processing, 223–42. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-1383-7_10.

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Salvatori, Stefano, Sara Pettinato, and Maria Cristina Rossi. "A Configurable Readout Circuit for Detector Signal Conditioning." In Lecture Notes in Electrical Engineering, 220–29. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-48711-8_26.

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Sozański, Krzysztof. "Analog Signals Conditioning and Discretization." In Digital Signal Processing in Power Electronics Control Circuits, 23–81. London: Springer London, 2017. http://dx.doi.org/10.1007/978-1-4471-7332-8_2.

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Sozański, Krzysztof. "Analog Signals Conditioning and Discretization." In Digital Signal Processing in Power Electronics Control Circuits, 23–72. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5267-5_2.

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Yang, Zhengbo, Jiaquan Ye, Jing Liu, Ping Yang, and Fei Liang. "Digital Signal Processing Technology of DVOR Navigation Signal." In Lecture Notes in Electrical Engineering, 290–95. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6504-1_37.

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Natarajan, Dhanasekharan. "Overview of Digital Signal Processing." In Lecture Notes in Electrical Engineering, 1–12. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36196-9_1.

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Anand, G., T. Thyagarajan, B. Aashique Roshan, L. Rajeshwar, and R. Shyam Balaji. "Signal Conditioning Circuits for GMR Sensor in Biomedical Applications." In Lecture Notes in Electrical Engineering, 93–106. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4943-1_10.

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Conference papers on the topic "Conditioning and processing electrical signal"

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Franco-Piña, J. Alejandro, Luis Contreras, and Juan C. Jauregui. "Real Time Conditioning Monitoring for Failure Prediction." In ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/gt2017-65145.

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Nowadays, the growth in the diameter of the rotors and the power capacity of the machinery require the application of constant monitoring to predict failures and reduce maintenance activities. These activities prevent emergency stops and failures that require the replacement of components; however, these operations involve a high cost. The system presented in this paper integrates a fast data processing method that can analyze monitoring signals in real-time. The overall system includes a set of sensors for the measurement of acceleration, angular velocity, temperature, voltage, electrical current, and oil quality. The system presented is able to produce a frequency spectrum with a length of 8192 points. The FFT module was implemented in a FPGA (Field Programmable Gate Array) and it generates in real time, the frequency spectrum. This system adjusts the dominant frequencies to the wind turbine velocity.
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Dimcev, V., D. Taskovski, Z. Kokolanski, D. Denic, D. Zivanovic, and M. Simic. "Signal conditioning for power quality." In 2011 11th International Conference on Electrical Power Quality and Utilisation - (EPQU). IEEE, 2011. http://dx.doi.org/10.1109/epqu.2011.6128809.

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Stanco, J., G. Sliwinski, J. Konefał, P. Kukielło, G. Rabczuk, Z. Rozkwitalski, and R. Zaremba. "Investigation of a transverse-excited high-power CO2 laser." In International Laser Science Conference. Washington, D.C.: Optica Publishing Group, 1986. http://dx.doi.org/10.1364/ils.1986.thl7.

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Investigations of a high-power transverse-flow transverse-discharge closed-cycle cw CO2 laser, designed as a laboratory facility primarily for materials processing research, are reported. A self-sustained dc electric discharge between a multipin cathode (tungsten) and a planar anode (polished copper) has been used forexcitation of the working medium, a mixture of CO2, N2, and He. The discharge volume is 5 dm3. A controllable-speed centrifugal compressor circulated the gas at a pressure of ~ 80 kPa, with the mass flow rate reaching 0.5 kg s-1. The specific power per unit mass flow amounts to 200 kW/kg s-1. The discharge characteristics have been measured in various flow conditions to evaluate the effect of flow conditioning devices on the discharge stability. Various multipass unstable optical resonator configurations have been adopted based on previous numerical analyses. Measurements of small-signal gain distribution along the discharge channel (with a maximum of 1 m–1) allowed optimization of the resonator position relative to the discharge. The dependence of the output power on the electric power dissipated in the discharge was measured. For a two-pass resonator (M = 1.8 kanigen mirrors) with one amplifying pass, the maximum output beam power was 4.4 kW at an electro-optical efficiency of 10%. The beam divergence was ~2 times larger than the diffraction-limited value. This allowed satisfactory tests of laser welding and cutting. (Poster paper)
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Mazurek, Gustaw. "Signal Conditioning for DAB-Illuminated Passive Radar." In 2021 Signal Processing Symposium (SPSympo). IEEE, 2021. http://dx.doi.org/10.1109/spsympo51155.2020.9593458.

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Levonen, M. J., L. Persson, and S. McLaughlin. "Conditioning Lofargrams Using Empirical Mode Decomposition." In 2006 7th Nordic Signal Processing Symposium. IEEE, 2006. http://dx.doi.org/10.1109/norsig.2006.275220.

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Ertugrul, Omer Faruk, and Mehmet Emin Tagluk. "Learning with classical conditioning." In 2014 22nd Signal Processing and Communications Applications Conference (SIU). IEEE, 2014. http://dx.doi.org/10.1109/siu.2014.6830382.

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Zhao, Guopeng, Zhiqi Shen, Chunyan Miao, and Zhihong Man. "On improving the conditioning of extreme learning machine: A linear case." In Signal Processing (ICICS). IEEE, 2009. http://dx.doi.org/10.1109/icics.2009.5397617.

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Szakacs-Simon, Peter, Sorin-Aurel Moraru, and Florian Neukart. "Signal conditioning techniques for health monitoring devices." In 2012 35th International Conference on Telecommunications and Signal Processing (TSP). IEEE, 2012. http://dx.doi.org/10.1109/tsp.2012.6256369.

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Amblard, Pierre-Olivier, and Olivier J. J. Michel. "Causal conditioning and instantaneous coupling in causality graphs." In 2012 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2012. http://dx.doi.org/10.1109/ssp.2012.6319633.

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Ulaganathan, Abdul Lateef, K. M. Sadyojatha, and Raymond Irudayaraj. "Design and implementation of front end biological signal conditioning." In 2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT). IEEE, 2017. http://dx.doi.org/10.1109/iceeccot.2017.8284586.

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Reports on the topic "Conditioning and processing electrical signal"

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Fayette, Daniel F., and Nancy A. Koziarz. Electrical Characterization of Signal Processing Microcircuit. Fort Belvoir, VA: Defense Technical Information Center, April 1989. http://dx.doi.org/10.21236/ada209078.

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Bruce and Fiore. L51629 Users Manual-Field Validation of the Low-Frequency Eddy Current Instrument-Software Listings. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), October 1990. http://dx.doi.org/10.55274/r0010602.

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When an eddy current probe is placed near a conductive material, the alternating magnetic field from the probe causes electrical currents to flow in the material. These currents have associated with them their own magnetic field, which opposes the original magnetic field from the coil. The result is that the impedance of the probe is greatly reduced by the presence of the conducting material. If the conductor is also magnetic, as is normal steel, the situation is similar though slightly more complicated. Here, the impedance of the probe may be either increased or decreased depending on the permeability of the material and the frequency of the alternating field. Anything that affects the flow of current in the conductive material will also affect the impedance of the eddy current probe. For example, the electrical currents cannot flow through a crack but must flow around it. The alteration in the currents also changes the magnetic field produced by the currents and, consequently, the impedance of the probe. Normally, the impedance change caused by a defect is much smaller than that caused by the presence of the material in the first place, and measuring this small change requires a bridge circuit much like the balanced bridge used with strain gauges. The balanced bridge allows one to amplify the small changes in impedance caused by defects in the presence of the much larger change caused by the presence of the conductive and magnetic pipeline steel. The LFEC instrument is constructed using an� IBM-AT compatible portable computer. Inside the PAC-386 are two plug-in circuit cards that turn the PAC-386 into an eddy current instrument. The first, also commercially available, is a Spectrum DSP56000 digital signal processing card, while the second is a specially-built interface card for the eddy current probe. The PAC-386 is a standard MS-DOS machine and will operate most MS-DOS software. In the discussion below, it is assumed that the user is familiar with the MSDOS operating system.
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