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Relevant bibliographies by topics / Digital-Based analog processing

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Academic literature on the topic 'Digital-Based analog processing'

Author: Grafiati

Published: 14 March 2023

Last updated: 19 July 2025

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Journal articles on the topic "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 (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 (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 ab

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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 (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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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 prin

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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 (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 (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 (1993): 2637–40. http://dx.doi.org/10.1109/77.233969.

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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 effectivene

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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 (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

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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 (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 an

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Dissertations / Theses on the topic "Digital-Based analog processing"

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LEITE, CORREIA DE TOLEDO PEDRO FILIPE. "Digital-Based Analog Processing in Nanoscale CMOS ICs for IoT Applications." Doctoral thesis, Politecnico di Torino, 2022. http://hdl.handle.net/11583/2969648.

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Bair, Shyh-Shyong. "A high speed microprocessor-based data acquisition system." Ohio : Ohio University, 1985. http://www.ohiolink.edu/etd/view.cgi?ohiou1183748292.

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Goldberg, 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.

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Song, 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.

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This dissertation focuses on design and implementation of a fully-integrated SRAM-based arbitrary waveform generator for analog signal processing applications in a CMOS technology. The dissertation consists of two parts: Firstly, a fully-integrated arbitrary waveform generator for a multi-resolution spectrum sensing of a cognitive radio applications, and an analog matched-filter for a radar application and secondly, low-power techniques for an arbitrary waveform generator. The fully-integrated low-power AWG is implemented and measured in a 0.18-¥ìm CMOS technology. Theoretical analysis is perf

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Chen, Liang-Jen, and 陳亮仁. "Amplifier-Based Analog-to-Digital Converters Using Time-Domain Signal Processing." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/65238306735329556773.

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博士<br>國立臺灣大學<br>電子工程學研究所<br>104<br>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

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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.

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Gallium nitride (GaN) high-electron-mobility transistors (HEMTs) have emerged as the most compelling technology for the transmission of highpower radio-frequency (RF) signals for cellular mobile communications and radar applications. However, despite their remarkable power capabilities, the deployment of GaN HEMT-based RF power amplifiers (PAs) in the mobile communications infrastructure is often ruled out in favor of alternative siliconbased technologies. One of the main reasons for this is the pervasiveness of nonlinear long-term memory effects in GaN HEMT technology caused by thermal

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Satyanarayana, J. V. "Efficient Design of Embedded Data Acquisition Systems Based on Smart Sampling." Thesis, 2014. http://etd.iisc.ac.in/handle/2005/3518.

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Data acquisition from multiple analog channels is an important function in many embedded devices used in avionics, medical electronics, robotics and space applications. It is desirable to engineer these systems to reduce their size, power consumption, heat dissipation and cost. The goal of this research is to explore designs that exploit a priori knowledge of the input signals in order to achieve these objectives. Sparsity is a commonly observed property in signals that facilitates sub-Nyquist sampling and reconstruction through compressed sensing, thereby reducing the number of A to D convers

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Satyanarayana, J. V. "Efficient Design of Embedded Data Acquisition Systems Based on Smart Sampling." Thesis, 2014. http://etd.iisc.ernet.in/2005/3518.

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Data acquisition from multiple analog channels is an important function in many embedded devices used in avionics, medical electronics, robotics and space applications. It is desirable to engineer these systems to reduce their size, power consumption, heat dissipation and cost. The goal of this research is to explore designs that exploit a priori knowledge of the input signals in order to achieve these objectives. Sparsity is a commonly observed property in signals that facilitates sub-Nyquist sampling and reconstruction through compressed sensing, thereby reducing the number of A to D convers

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Books on the topic "Digital-Based analog processing"

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Lamarche, Paul-Hugo. Field-programmable analog array implemented using delta-sigma based digital signal processing. National Library of Canada, 2003.

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Book chapters on the topic "Digital-Based analog processing"

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Kehtarnavaz, Nasser, Shane Parris, and Abhishek Sehgal. "Analog-to-Digital Signal Conversion." In Smartphone-Based Real-Time Digital Signal Processing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-031-02537-2_4.

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Kehtarnavaz, Nasser, Abhishek Sehgal, Shane Parris, and Arian Azarang. "Analog-to-Digital Signal Conversion." In Smartphone-Based Real-Time Digital Signal Processing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-031-02543-3_4.

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Kehtarnavaz, Nasser, Abhishek Sehgal, and Shane Parris. "Analog-to-Digital Signal Conversion." In Smartphone-Based Real-Time Digital Signal Processing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-031-02540-2_4.

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Kilani, Dima, Baker Mohammad, Mohammad Alhawari, Hani Saleh, and Mohammed Ismail. "Ratioed Logic Comparator-Based Digital LDO Regulator." In Analog Circuits and Signal Processing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37884-4_5.

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De Toledo, Pedro Filipe Leite Correia. "Digital-Based Analog Processing for the IoT." In SMART Integrated Circuit Design and Methodology. River Publishers, 2023. http://dx.doi.org/10.1201/9781032665580-7.

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Markulic, Nereo, Kuba Raczkowski, Jan Craninckx, and Piet Wambacq. "A Digital-to-Time-Converter-Based Subsampling PLL for Fractional Synthesis." In Analog Circuits and Signal Processing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-10958-5_2.

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Nishio, Kimihiro, and Taiki Yasuda. "Analog-Digital Circuit for Motion Detection Based on Vertebrate Retina and Its Application to Mobile Robot." In Neural Information Processing. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24965-5_57.

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Shubham, Kumar, Vikas Tiwari, and R. K. Nagaria. "Design of Low-Power High Performance SAR Analog-To-Digital Converter Based on MOS Capacitor DAC Structure." In VLSI, Communication and Signal Processing. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0973-5_46.

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Zahari, Finn, Martin Ziegler, Pouya Doerwald, Christian Wenger, and Hermann Kohlstedt. "Neuromorphic Circuits with Redox-Based Memristive Devices." In Springer Series on Bio- and Neurosystems. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-36705-2_2.

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AbstractThis chapter addresses opportunities for memristive devices in the framework of neuromorphic computing. Memristive devices are two-terminal circuit elements, comprising resistance and memory functionality. This simple and likewise ingeniously concept allows beneficial applications in numerous neuromorphic circuits. However, the electrical characteristics as well as the materials and technological framework of memristive devices need an optimization for each specific application. The chapter starts with a short overview of basic principles of biological data processing followed by a taxonomy of different bio-inspired computing architectures, divided into time-dependent and time-independent concepts. Furthermore, the requirements on particular memristive device properties, such as $$I\text {-}V$$ I - V linearity, switching time, retention, number of states, time-dependency, and device variability, are discussed. The results of tangible examples of digital and analog memristive switching devices used in a deep neural network based on CMOS-integrated resistive random access memory devices (RRAMs) for chronic obstructive pulmonary disease (COPD) detection, in stochastic learning, in bio-inspired analog learning, and, finally, in oscillatory computing are presented and discussed.

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Mannocci, Piergiulio, and Daniele Ielmini. "Analog Circuit Design for In-Memory Linear Algebra Accelerators." In SpringerBriefs in Applied Sciences and Technology. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-80268-3_5.

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Abstract Since its introduction in 1945, computing systems have been built around von Neumann’s architecture, predicating the physical separation of memory and computing units on grounds of flexibility and generality. However, the increasingly data-driven workloads of modern-day applications exacerbate the energy and latency overheads associated with data shuttling. In-memory computing (IMC) radically subverts the classical paradigm by performing computation in situ within the memory elements, unlocking theoretically unrivaled throughput and energy efficiency. Among the wide spectrum of IMC architectures, closed-loop in-memory computing (CL-IMC) has attracted interest for its capability to accelerate computationally heavy operations of increasing use, such as matrix inversion. This chapter focuses on analog closed-loop circuits for in-memory accelerators. A mathematical framework is derived to develop a matrix-based circuit simulator providing orders-of-magnitude speedups with respect to SPICE solvers. New circuits for the acceleration of regularized regressions and linear quadratic estimation are characterized in terms of accuracy and speed, providing improvement with respect to digital solvers in baseband processing in 6G systems and Kalman filters. Experimental demonstrations finally provide a real-world implementation of CL-IMC topologies. The obtained results strengthen the position of CL-IMC as a promising candidate for next-generation energy-efficient algebraic accelerators.

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Conference papers on the topic "Digital-Based analog processing"

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Liang, Zhiwei, Sebastian Randel, and Sander Wahls. "Numerical Investigation of Modulo-Based Analog-to-Digital Conversion for PCS-64-QAM." In Optical Fiber Communication Conference. Optica Publishing Group, 2025. https://doi.org/10.1364/ofc.2025.tu3c.2.

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Recently, a novel signal processing method based on modulo operation has been proposed to avoid saturation and reduce quantization power consumption of ADC. We evaluate its suitability for a SSMF transmission system using PCS-64-QAM format. © 2025 The Author(s)

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Rodrigues, Luís, Mónica Figueiredo, Luís Nero Alves, and Zabih Ghassemlooy. "A Packet-Based Analog m-CAP Visible Light Communication System for Internet of Things." In 2024 14th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP). IEEE, 2024. http://dx.doi.org/10.1109/csndsp60683.2024.10636661.

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Shah, S. "A 200 MHz CMOS analogue-ROM based direct digital frequency synthesiser." In IEE Seminar Analog Signal Processing. IEE, 2000. http://dx.doi.org/10.1049/ic:20000480.

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Meng, Jiawei, Mario Miscuglio, Jonathan George, Aydin Babakhani, and Volker J. Sorger. "PIC-based Binary-Weighting Parallel Digital-to-Analog Converter." In Signal Processing in Photonic Communications. OSA, 2021. http://dx.doi.org/10.1364/sppcom.2021.sptu4d.5.

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Fok, Mable P., Yue Tian, David Rosenbluth, Yanhua Deng, and Paul R. Prucnal. "Optical hybrid analog-digital signal processing based on spike processing in neurons." In SPIE Optical Engineering + Applications, edited by Khan M. Iftekharuddin and Abdul Ahad Sami Awwal. SPIE, 2011. http://dx.doi.org/10.1117/12.895347.

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Nguyen, Nam-Trung. "Thermal Control for Droplet-Based Microfluidics." In 2008 Second International Conference on Integration and Commercialization of Micro and Nanosystems. ASMEDC, 2008. http://dx.doi.org/10.1115/micronano2008-70277.

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This paper presents our recent works on thermal control for droplet-based microfluidics. Temperature dependent properties of liquids have been use for actuation and many other applications in droplet-based microfluidics. In analogy to an analog/digital electronic circuits, a droplet-based microfluidic system consists for three main subsystems: droplet formation (analog/digital converter), droplet manipulation (digital processing) and droplet merging (digital/analog converter). This paper will present our recent achievements in thermal control of droplet formation in different configurations su

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Neuhaus, Peter, Nir Shlezinger, Meik Dorpinghaus, Yonina C. Eldar, and Gerhard Fettweis. "Task-Based Analog-to-Digital Converters for Bandlimited Systems." In 2021 29th European Signal Processing Conference (EUSIPCO). IEEE, 2021. http://dx.doi.org/10.23919/eusipco54536.2021.9616271.

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Sanchez, Giovanny, Thomas Jacob Koickal, T. A. Athul Sripad, Luiz Carlos Gouveia, Alister Hamilton, and Jordi Madrenas. "Spike-based analog-digital neuromorphic information processing system for sensor applications." In 2013 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2013. http://dx.doi.org/10.1109/iscas.2013.6572173.

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Liu, Xin, Yanming Xue, and Huaxin Sun. "Analog Domain Self-Interference Cancellation Method Based on Digital Aided Processing." In 2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC). IEEE, 2020. http://dx.doi.org/10.1109/itaic49862.2020.9339032.

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Maruta, Akihiro, and Sho-ichiro Oda. "optical Signial Processing based on All-Optical Analog-to-Digital Conversion." In 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.

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