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ICASSP
2009
IEEE
16 years 1 months ago
Analyzing Least Squares and Kalman Filtered Compressed Sensing
In recent work, we studied the problem of causally reconstructing time sequences of spatially sparse signals, with unknown and slow time-varying sparsity patterns, from a limited ...
Namrata Vaswani
ICASSP
2009
IEEE
16 years 1 months ago
Design of oversampled DFT modulated filter banks optimized for acoustic echo cancellation
This paper describes a method for designing oversampled DFT filter banks (FB) optimized for subband acoustic echo cancellation (AEC). For this application, the design requirements...
Qin Li, Wei-Ge Chen, Chao He, Henrique S. Malvar
ICASSP
2009
IEEE
16 years 1 months ago
Distributed compressive video sensing
Low-complexity video encoding has been applicable to several emerging applications. Recently, distributed video coding (DVC) has been proposed to reduce encoding complexity to the...
Li-Wei Kang, Chun-Shien Lu
215
Voted
ICC
2009
IEEE
143views Communications» more  ICC 2009»
16 years 1 months ago
Low Complexity Markov Chain Monte Carlo Detector for Channels with Intersymbol Interference
— In this paper, we propose a novel low complexity soft-in soft-out (SISO) equalizer using the Markov chain Monte Carlo (MCMC) technique. Direct application of MCMC to SISO equal...
Ronghui Peng, Rong-Rong Chen, Behrouz Farhang-Boro...
ICC
2009
IEEE
190views Communications» more  ICC 2009»
16 years 1 months ago
Decomposition for Low-Complexity Near-Optimal Routing in Multi-Hop Wireless Networks
Abstract—Network flow models serve as a popular mathematical framework for the analysis and optimization of Multi-hop Wireless Networks. They also serve to provide the understan...
Vinay Kolar, Nael B. Abu-Ghazaleh, Petri Mäh&...