Literatura académica sobre el tema "Digital-Based analog processing"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte las listas temáticas de artículos, libros, tesis, actas de conferencias y otras fuentes académicas sobre el tema "Digital-Based analog processing".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Artículos de revistas sobre el tema "Digital-Based analog processing"
Sharma, Sushma, Hitesh Kumar y Charul Thareja. "Digital Signal Processing Over Analog Signal Processing". Journal of Advance Research in Electrical & Electronics Engineering (ISSN: 2208-2395) 1, n.º 2 (28 de febrero de 2014): 01–02. http://dx.doi.org/10.53555/nneee.v1i2.255.
Texto completoNasrulloh, Mohammad Dicky. "Designing a Digital Filter Based Crossover Audio System Using STM32L4". Jurnal Jartel: Jurnal Jaringan Telekomunikasi 9, n.º 4 (25 de diciembre de 2019): 13–18. http://dx.doi.org/10.33795/jartel.v9i4.141.
Texto completoReshetnikova, I. V., S. V. Sokolov, A. A. Manin, M. V. Polyakova y O. I. Sokolova. "Optical digital-to-analog converter for N-digit logic-based processing circuits". Journal of Physics: Conference Series 2131, n.º 2 (1 de diciembre de 2021): 022129. http://dx.doi.org/10.1088/1742-6596/2131/2/022129.
Texto completoCai, J. y G. W. Taylor. "An optoelectronic thyristor-based analog-to-digital converter for parallel processing". Applied Physics Letters 73, n.º 16 (19 de octubre de 1998): 2372–74. http://dx.doi.org/10.1063/1.122464.
Texto completoMaruta, Akihiro y Sho-ichiro Oda. "Optical Signal Processing Based on All-Optical Analog-to-Digital Conversion". Optics and Photonics News 19, n.º 4 (1 de abril de 2008): 30. http://dx.doi.org/10.1364/opn.19.4.000030.
Texto completoSemenov, V. K. "Digital to analog conversion based on processing of the SFQ pulses". IEEE Transactions on Applied Superconductivity 3, n.º 1 (marzo de 1993): 2637–40. http://dx.doi.org/10.1109/77.233969.
Texto completoN. Ezema, Chukwuedozie, Chukwuebuka B. Umezinwa y Ernest O. Nonum. "Microcontroller-Based Optical Displacement Weighing Scale". International Journal of Advance Research and Innovation 4, n.º 3 (2016): 27–33. http://dx.doi.org/10.51976/ijari.431606.
Texto completoRajabalipanah, Hamid, Ali Abdolali, Shahid Iqbal, Lei Zhang y Tie Jun Cui. "Analog signal processing through space-time digital metasurfaces". Nanophotonics 10, n.º 6 (29 de marzo de 2021): 1753–64. http://dx.doi.org/10.1515/nanoph-2021-0006.
Texto completoWu, Ling Fan, Li Jun Yun, Jun Sheng Shi, Kun Wang y Zhi Hui Deng. "Design and Implementation of the HD Video Signal Converter Based on FPGA". Advanced Engineering Forum 6-7 (septiembre de 2012): 571–75. http://dx.doi.org/10.4028/www.scientific.net/aef.6-7.571.
Texto completoWang, Li, Wenli Chen, Kai Chen, Renjun He y 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, n.º 3 (7 de febrero de 2022): 1704. http://dx.doi.org/10.3390/app12031704.
Texto completoTesis sobre el tema "Digital-Based analog processing"
Bair, Shyh-Shyong. "A high speed microprocessor-based data acquisition system". Ohio : Ohio University, 1985. http://www.ohiolink.edu/etd/view.cgi?ohiou1183748292.
Texto completoSong, Tae Joong. "A fully integrated SRAM-based CMOS arbitrary waveform generator for analog signal processing". Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/34760.
Texto completoGoldberg, Jason M. "Signal processing for high resolution pulse width modulation based digital-to-analogue conversion". Thesis, King's College London (University of London), 1992. https://kclpure.kcl.ac.uk/portal/en/theses/signal-processing-for-high-resolution-pulse-width-modulation-based-digitaltoanalogue-conversion(0eb09aa0-1c54-48c3-844f-25aaa98908bf).html.
Texto completoChen, Liang-Jen y 陳亮仁. "Amplifier-Based Analog-to-Digital Converters Using Time-Domain Signal Processing". Thesis, 2015. http://ndltd.ncl.edu.tw/handle/65238306735329556773.
Texto completo國立臺灣大學
電子工程學研究所
104
The amplifier-based analog-to-digital converter (ADCs), such as pipelined, cyclic, and two-step architecture, are a suitable candidate for sampling rates from a few mega samples per second (MSPS) up to 100MSPS or even above, and resolutions range from 8 bits to 16 bits. However, as CMOS technology continues to shrink, the decreased supply voltage would limit the swing of the ADC, and the reduced intrinsic gain of the transistors would make the conventional operational amplifier difficult to realize. Although the early proposed open-loop architectures with the analog/digital calibration can be implemented in an advanced CMOS process, the amplifier non-linearity issue would become more severe as CMOS technology continues to scale down. A sophisticated non-linear calibration would be required and complicates the design. In addition, as the voltage swing decreases, the resolution of the conventional voltage-domain ADCs are also limited as well. To solve the issue described above, a time-domain ADC (TADC) architecture is proposed in this thesis. Since the power consumption of the digital circuit decreases, and the resolution of a time-domain signal is improved with the technology scaling, the TADC becomes a candidate for the power efficient architecture in the advanced process. Also, since the time-domain signal range would not be limited by the decreased supply voltage, the non-linearity issue in the TADC architecture could be relieved. Two prototype ICs were designed during this research. In chapter 2, the first design is a 12-bit 3.4MS/s two-step cyclic TADC implemented in a 0.18um CMOS process. The proposed TADC uses a voltage-to-time converter (VTC) with a 12dB gain amplifier and the proposed time amplifier (TA) as residue amplifiers to achieve 12-bit resolution without high gain amplifiers. In addition, non-linear calibration, and the process variation tracking blocks are also not required. The noise analysis for each TADC building block is also presented in this chapter. To verify the noise analysis further, another TADC is fabricated with different devices sizes, in order to compare the measured signal-to-noise ratio (SNR) and signal-to-noise and distortion ratio (SNDR). In chapter 3, the second design is a 10-bit 40MS/s two-step TADC implemented in a 0.18um CMOS process. The second design is realized to improve the sampling rate of the first design, and also to eliminate the use of the amplifiers. Same as the first design, non-linear calibration, and the process variation tracking blocks are also not required. Since the TADC can operate without the non-linear calibration, the hardware complexity of the digital background calibration adopted in this work can be greatly reduced. Therefore, the calibration time of the TADC requires only 622 clock cycles, which is over 10 times less than prior voltage-domain digitally-calibrated ADCs.
Tomé, Pedro Mirassol. "Characterization, modeling and compensation of long-term memory effects in GAN HEMT based radiofrequency power amplifiers". Doctoral thesis, 2020. http://hdl.handle.net/10773/30994.
Texto completoOs transístores de alta mobilidade eletrónica de nitreto de gálio (GaN HEMTs) são considerados a tecnologia mais atrativa para a transmissão de sinais de radiofrequência de alta potência para comunicações móveis celulares e aplicações de radar. No entanto, apesar das suas notáveis capacidades de transmissão de potência, a utilização de amplificadores de potência (PAs) baseados em GaN HEMTs é frequentemente desconsiderada em favor de tecnologias alternativas baseadas em transístores de silício. Uma das principais razões disto acontecer é a existência pervasiva na tecnologia GaN HEMT de efeitos de memória lenta causados por fenómenos térmicos e de captura eletrónica. Apesar destes efeitos poderem ser compensados através de algoritmos sofisticados de predistorção digital, estes algoritmos não são adequados para transmissores modernos de células pequenas e interfaces massivas de múltipla entrada e múltipla saída devido à sua complexidade de implementação e extração de modelo, assim como a elevada potência necessária para a sua execução em tempo real. De forma a promover a utilização de PAs de alta densidade de potência e elevada eficiência baseados em GaN HEMTs em aplicações de comunicação e radar de nova geração, nesta tese propomos novos métodos de caracterização, modelação, e compensação de efeitos de memória lenta em PAs baseados em GaN HEMTs. Mais especificamente, nesta tese propomos um método de caracterização do comportamento dinâmico de autopolarização de PAs baseados em GaN HEMTs; vários modelos comportamentais de fenómenos de captura eletrónica e a sua implementação como circuitos eletrónicos analógicos para a previsão em tempo real da variação dinâmica da tensão de limiar de condução de GaN HEMTs; um método de compensação da instabilidade entre pulsos de PAs baseados em GaN HEMTs para aplicações de radar; e um esquema híbrido analógico/digital de linearização de PAs baseados em GaN HEMTs para comunicações de nova geração.
Programa Doutoral em Telecomunicações
Satyanarayana, J. V. "Efficient Design of Embedded Data Acquisition Systems Based on Smart Sampling". Thesis, 2014. http://etd.iisc.ernet.in/2005/3518.
Texto completoLibros sobre el tema "Digital-Based analog processing"
Lamarche, Paul-Hugo. Field-programmable analog array implemented using delta-sigma based digital signal processing. Ottawa: National Library of Canada, 2003.
Buscar texto completoSociety, IEEE Computer, ed. Tutorial DSP-based testing of analog and mixed-signal circuits. Washington, D.C: IEEE Computer Society Press, 1987.
Buscar texto completoRe-use based methodologies and tools in the design of analog and mixed-signal integrated circuits. Dordrecht: Springer, 2005.
Buscar texto completoCapítulos de libros sobre el tema "Digital-Based analog processing"
Kehtarnavaz, Nasser, Shane Parris y Abhishek Sehgal. "Analog-to-Digital Signal Conversion". En Smartphone-Based Real-Time Digital Signal Processing, 47–67. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-031-02537-2_4.
Texto completoKehtarnavaz, Nasser, Abhishek Sehgal, Shane Parris y Arian Azarang. "Analog-to-Digital Signal Conversion". En Smartphone-Based Real-Time Digital Signal Processing, 55–84. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-031-02543-3_4.
Texto completoKehtarnavaz, Nasser, Abhishek Sehgal y Shane Parris. "Analog-to-Digital Signal Conversion". En Smartphone-Based Real-Time Digital Signal Processing, 51–79. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-031-02540-2_4.
Texto completoKilani, Dima, Baker Mohammad, Mohammad Alhawari, Hani Saleh y Mohammed Ismail. "Ratioed Logic Comparator-Based Digital LDO Regulator". En Analog Circuits and Signal Processing, 73–95. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37884-4_5.
Texto completoMarkulic, Nereo, Kuba Raczkowski, Jan Craninckx y Piet Wambacq. "A Digital-to-Time-Converter-Based Subsampling PLL for Fractional Synthesis". En Analog Circuits and Signal Processing, 23–56. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-10958-5_2.
Texto completoNishio, Kimihiro y Taiki Yasuda. "Analog-Digital Circuit for Motion Detection Based on Vertebrate Retina and Its Application to Mobile Robot". En Neural Information Processing, 506–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24965-5_57.
Texto completoLagerlund, Terrence D. "Digital Signal Processing". En Clinical Neurophysiology, 222–35. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780190259631.003.0015.
Texto completoMilic, Ljiljana. "Sampling Rate Converison by a Fractional Factor". En Multirate Filtering for Digital Signal Processing, 171–205. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-178-0.ch006.
Texto completoSheybani, Ehsan. "Real-Time Digital Signal Processing-Based Algorithm for Universal Software Radio Peripheral to Detect GPS Signal". En Strategic Innovations and Interdisciplinary Perspectives in Telecommunications and Networking, 241–54. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8188-8.ch013.
Texto completoTeimoory, Mehri, Amirali Amirsoleimani, Arash Ahmadi y Majid Ahmadi. "Development of Compute-in-Memory Memristive Crossbar Architecture with Composite Memory Cells". En Memristor - An Emerging Device for Post-Moore’s Computing and Applications. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.99634.
Texto completoActas de conferencias sobre el tema "Digital-Based analog processing"
Shah, S. "A 200 MHz CMOS analogue-ROM based direct digital frequency synthesiser". En IEE Seminar Analog Signal Processing. IEE, 2000. http://dx.doi.org/10.1049/ic:20000480.
Texto completoMeng, Jiawei, Mario Miscuglio, Jonathan George, Aydin Babakhani y Volker J. Sorger. "PIC-based Binary-Weighting Parallel Digital-to-Analog Converter". En Signal Processing in Photonic Communications. Washington, D.C.: OSA, 2021. http://dx.doi.org/10.1364/sppcom.2021.sptu4d.5.
Texto completoFok, Mable P., Yue Tian, David Rosenbluth, Yanhua Deng y Paul R. Prucnal. "Optical hybrid analog-digital signal processing based on spike processing in neurons". En SPIE Optical Engineering + Applications, editado por Khan M. Iftekharuddin y Abdul Ahad Sami Awwal. SPIE, 2011. http://dx.doi.org/10.1117/12.895347.
Texto completoNeuhaus, Peter, Nir Shlezinger, Meik Dorpinghaus, Yonina C. Eldar y Gerhard Fettweis. "Task-Based Analog-to-Digital Converters for Bandlimited Systems". En 2021 29th European Signal Processing Conference (EUSIPCO). IEEE, 2021. http://dx.doi.org/10.23919/eusipco54536.2021.9616271.
Texto completoNguyen, Nam-Trung. "Thermal Control for Droplet-Based Microfluidics". En 2008 Second International Conference on Integration and Commercialization of Micro and Nanosystems. ASMEDC, 2008. http://dx.doi.org/10.1115/micronano2008-70277.
Texto completoSanchez, Giovanny, Thomas Jacob Koickal, T. A. Athul Sripad, Luiz Carlos Gouveia, Alister Hamilton y Jordi Madrenas. "Spike-based analog-digital neuromorphic information processing system for sensor applications". En 2013 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2013. http://dx.doi.org/10.1109/iscas.2013.6572173.
Texto completoLiu, Xin, Yanming Xue y Huaxin Sun. "Analog Domain Self-Interference Cancellation Method Based on Digital Aided Processing". En 2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC). IEEE, 2020. http://dx.doi.org/10.1109/itaic49862.2020.9339032.
Texto completoMaruta, Akihiro y Sho-ichiro Oda. "optical Signial Processing based on All-Optical Analog-to-Digital Conversion". En OFC/NFOEC 2007 - 2007 Conference on Optical Fiber Communication and the National Fiber Optic Engineers Conference. IEEE, 2007. http://dx.doi.org/10.1109/ofc.2007.4348683.
Texto completoLi, Y., Y. Zhang y G. Eichmann. "An acousto-optic modulator-based analog-to-digital converter". En OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1990. http://dx.doi.org/10.1364/oam.1990.tuuu9.
Texto completoShlezinger, Nir, Ruud J. G. van Sloun, Iris A. M. Huijben, Georgee Tsintsadze y Yonina C. Eldar. "Learning Task-Based Analog-to-Digital Conversion for MIMO Receivers". En ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2020. http://dx.doi.org/10.1109/icassp40776.2020.9053855.
Texto completo