Results 281 to 290 of about 326,210 (336)

Analog signal processing/filtering

IEEE Photonic Society 24th Annual Meeting, 2011
Optics 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, D. Tan, A. Grieco, S. Zamek, K. Ikeda, L. Fang, M. Nezhad, B. Slutsky   +7 more
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Configurable analog signal processing

Digital Signal Processing, 2009
We present a viewpoint showing that analog signal processing approaches are becoming configurable and programmable like their digital counterparts, while retaining a huge computational efficiency, for a given power budget, compared to their digital counterparts.
Chris Twigg, Paul Hasler
openaire   +1 more source

Cooperative analog-digital signal processing

IIEEE International Conference on Acoustics Speech and Signal Processing, 2002
We introduce the concept of cooperative analog-digital signal processing, and its implications on real-time signal processing functions. We discuss some of the trade-offs between performing operations in the analog computing circuit and digital computing circuits, and a general framework for “cooperative analog/digital signal processing systems” is ...
null Hasler, null Anderson
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Analog Signal Processing

1994
Introduction P.B. Aronhime, F.W. Stephenson. Statistical Design: Global Design of Analog Cells Using Statistical Optimization Techniques F. Medeiro, R. Rodriguez-Macias, F.V. Fernandez, R. Dominguez-Castro, J.L Huertas, A. Rodriguez-Vazquez. DDA-Based Circuits: A Multiple Input Differential Amplifier Based on Charge Sharing on a Floating-Gate MOSFET K.
Peter B. Aronhime, F. William Stephenson
openaire   +1 more source

Analog Parallel Signal Processing

1997
When 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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Analog multirate signal processing

The IEEE International Symposium on Circuits and Systems, 2003. Tutorial Guide: ISCAS 2003., 2005
Multirate digital signal processing techniques were introduced in the 70's to appropriately accommodate different signal sampling rates to bandwidth variations along the signal path. The basic technique has also been applied to other signal processing technologies, such as charge-coupled devices, switched-currents and switched-capacitors, which are ...
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Low-power analog signal processing

2012 IEEE International Solid-State Circuits Conference, 2012
The 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, Christian Enz, Boris Murmann, Philip Mok   +3 more
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Superconductive analog signal processing devices

Proceedings of the IEEE, 1989
Real-time signal processing is important in many emerging applications in areas such as pulse-compression radar, spread-spectrum communications, and electronic warfare. The required digitally equivalent computational rate for these applications is on the order of 10/sup 2/ arithmetic operations per second and the required instantaneous bandwidths could
R.S. Withers, R.W. Ralston
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Analog Signal Processing for Heart Rate Extraction

2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005
Heart 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, Olga, Boric-Lubecke, Victor, Lubecke, Xiaoyue, Wang   +3 more
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