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» Learning to Construct Fast Signal Processing Implementations
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ADHOC
2004
127views more  ADHOC 2004»
14 years 9 months ago
A distributed and adaptive signal processing approach to exploiting correlation in sensor networks
We propose a novel approach to reducing energy consumption in sensor networks using a distributed adaptive signal processing framework and efficient algorithm 1 . While the topic o...
Jim Chou, Dragan Petrovic, Kannan Ramchandran
INFOCOM
2003
IEEE
15 years 2 months ago
A Distributed and Adaptive Signal Processing Approach to Reducing Energy Consumption in Sensor Networks
— We propose a novel approach to reducing energy consumption in sensor networks using a distributed adaptive signal processing framework and efficient algorithm 1 . While the to...
Jim Chou, Dragan Petrovic, Kannan Ramchandran
ICASSP
2011
IEEE
14 years 1 months ago
DSP evolution from a teaching point of view
In this paper the authors are addressing the concerns associated with fast growing DSP chips and tools and the impact they have on teaching DSP implementation. The authors also pr...
Naim Dahnoun, Jason Brand
JC
2007
119views more  JC 2007»
14 years 9 months ago
Deterministic constructions of compressed sensing matrices
Compressed sensing is a new area of signal processing. Its goal is to minimize the number of samples that need to be taken from a signal for faithful reconstruction. The performan...
Ronald A. DeVore
CCP
2011
136views more  CCP 2011»
13 years 9 months ago
Fast Implementation of Block Motion Estimation Algorithms in Video Encoders
This project will involve analysing some of the newer fast algorithms in comparison with an exhaustive full search algorithm for motion estimation in video encoders. It will invest...
Naga Rohini Koduri, Mqhele E. Dlodlo, Gerhard de J...