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Analog Signal Processing with Organic FETs
2006 IEEE International Solid State Circuits Conference - Digest of Technical Papers, 2006Regular and differential amplifiers as well as differential-to-single-ended circuits based on organic FETs (OFETs) are demonstrated. A numerical OFET model suitable for analog design is developed.
Nicolas Gay +5 more
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Low-power analog signal processing
2012 IEEE International Solid-State Circuits Conference, 2012The reduction of the power consumption of all electronic functions is a continuous endeavor. This endeavor requires judicious comparison of analog and digital realizations from the point of view of performance per unit of power consumed. Analog signal processing offers the advantage that power consumption can be minimized at both very low and very high
Willy Sansen +3 more
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An analog cell and its applications in analog signal processing
International Journal of Circuit Theory and Applications, 2011AbstractThis paper presents a straightforward current‐mode CMOS squarer circuit. The proposed circuit exploits the square‐law characteristic of MOS transistor in saturation region. The squarer circuit is then used to implement multiplier and exponential functions.
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Analog signal processing with microwave magnetics
Proceedings of the IEEE, 1988The main performance advantage that analog signal-processing devices have over their digital competitors is the ability to operate with wide instantaneous bandwidths and moderately high dynamic ranges at microwave frequencies. Here, applications of magnetostatic wave (MSW) devices that capitalize on these advantages are reviewed.
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Analog signal processing/filtering
IEEE Photonic Society 24th Annual Meeting, 2011Optics has the potential to solve some of the most exciting problems in information systems. It promises crosstalk-free interconnects with essentially unlimited bandwidth, long-distance data transmission without skew and without power- and time-consuming regeneration, miniaturization, parallelism, and efficient implementation of important algorithms ...
Y. Fainman +7 more
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Analog Signal Processing for Heart Rate Extraction
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005Heart rate variability (HRV) studies have shown that beat-to-beat interval variability is a strong indicator of a number of medical conditions, including heart failure, diabetes, and hypertension. Current HRV systems typically analyze pre-recorded high resolution ECG recordings.
Mingqi, Chen +3 more
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Analog signal processing first [educational course]
1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258), 1999The Department of Electrical and Computer Engineering at the University of Illinois recently adopted new undergraduate curricula. The most radical change was the introduction of ECE 210, Analog Signal Processing, in place of both the sophomore-level circuit analysis course and the junior-level signals and systems course.
David C. Munson Jr., Douglas L. Jones
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Analog Parallel Signal Processing
1997When the capabilities of present-day artificial information processing systems are compared to the capabilities of biological systems a few striking conclusions have to be drawn. Our present-day computers are mainly built with serial processors, which can process only one instruction on one data element at a time but they achieve a very high clock ...
Peter Kinget, Michiel Steyaert
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Exploiting the Analogy Between Traces and Signal Processing
2006 22nd IEEE International Conference on Software Maintenance, 2006The main challenge of dynamic analysis is the huge volume of data, making it difficult to extract high level views. Most techniques developed so far adopt a finegrained approach to address this issue. In this paper we introduce a novel approach representing entire traces as signals in time.
Adrian Kuhn, Orla Greevy
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Reconfigurable Analog Signal Processing by Living Cells
ACS Synthetic Biology, 2017Living cells are known for their capacity for versatile signal processing, particularly the ability to respond differently to the same stimuli using biochemical networks that integrate environmental signals and reconfigure their dynamic responses. However, the complexity of natural biological networks confounds the discovery of fundamental mechanisms ...
Daniel D. Lewis +3 more
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