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» Algebraic Signal Processing Theory
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ICASSP
2008
IEEE
14 years 3 months ago
Subspace compressive detection for sparse signals
The emerging theory of compressed sensing (CS) provides a universal signal detection approach for sparse signals at sub-Nyquist sampling rates. A small number of random projection...
Zhongmin Wang, Gonzalo R. Arce, Brian M. Sadler
NIPS
2008
13 years 10 months ago
Sparse Signal Recovery Using Markov Random Fields
Compressive Sensing (CS) combines sampling and compression into a single subNyquist linear measurement process for sparse and compressible signals. In this paper, we extend the th...
Volkan Cevher, Marco F. Duarte, Chinmay Hegde, Ric...
ICASSP
2011
IEEE
13 years 24 days ago
Comparative threshold performance study for conditional and unconditional direction-of-arrival estimation
Comparative analysis of the threshold SNR and/or sample support values where genuine maximum likelihood DOA estimation starts to produce “outliers” is conducted for unconditio...
Yuri I. Abramovich, Ben A. Johnson
ICASSP
2008
IEEE
14 years 3 months ago
Signal masking in Gaussian channels
We consider the problem of modifying the noise properties of a channel in order to make the source as indecipherable as possible given the output. Applications include jamming com...
John A. Quinn, Christopher K. I. Williams
ICIP
2006
IEEE
14 years 10 months ago
Multichannel Sampling of Parametric Signals with a Successive Approximation Property
Recently the sampling theory for certain parametric signals based on rate of innovation has been extended to all sampling kernels that satisfy the Strang-Fix conditions, thus incl...
Julius Kusuma, Vivek K. Goyal