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» Algebraic Signal Processing Theory
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ICASSP
2008
IEEE
15 years 6 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
15 years 1 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
14 years 3 months 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
15 years 6 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
16 years 1 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