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» Parallel signal processing with S-Net
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CISS
2008
IEEE
14 years 1 months ago
Distributed processing in frames for sparse approximation
—Beyond signal processing applications, frames are also powerful tools for modeling the sensing and information processing of many biological and man-made systems that exhibit in...
Christopher J. Rozell
ICASSP
2008
IEEE
14 years 1 months ago
Bounds and algorithms for time delay estimation on parallel, flat fading channels
We study time delay estimation (TDE) on parallel channels with flat fading. Several models for the channel gains are considered, and for each case we present the the maximum like...
Richard J. Kozick, Brian M. Sadler
ASAP
2003
IEEE
133views Hardware» more  ASAP 2003»
14 years 21 days ago
Storage Management in Process Networks using the Lexicographically Maximal Preimage
At the Leiden Embedded Research Center, we are developing a compiler called Compaan that automatically translates signal processing applications written in Matlab into Kahn Proces...
Alexandru Turjan, Bart Kienhuis
PC
2000
120views Management» more  PC 2000»
13 years 7 months ago
Real-time sonar beamforming on high-performance distributed computers
Rapid advancements in acoustical beamforming techniques for array signal processing are producing algorithms with increased levels of computational complexity. Concomitantly, auto...
Alan D. George, Jeff Markwell, Ryan Fogarty
APPINF
2003
13 years 8 months ago
Preventing Computational Chaos in Asynchronous Neural Networks
One of the primary advantages of artificial neural networks is their inherent ability to perform massively parallel, nonlinear signal processing. However, the asynchronous dynamics...
Jacob Barhen, Vladimir Protopopescu