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ICASSP
2011
IEEE
7 years 9 months ago
Compressed sensing based method for ECG compression
Compressive sensing (CS) is a new approach for the acquisition and recovery of sparse signals that enables sampling rates significantly below the classical Nyquist rate. Based on...
Luisa F. Polania, Rafael E. Carrillo, Manuel Blanc...
ICASSP
2011
IEEE
7 years 9 months ago
Time domain reconstruction of spatial sound fields using compressed sensing
A novel technique for time domain spatial sound reproduction using compressed sensing is presented. The presented technique is based on the application of compressed sensing theor...
Andrew Wabnitz, Nicolas Epain, André van Sc...
ICASSP
2011
IEEE
7 years 9 months ago
Compressive power spectral density estimation
In this paper, we consider power spectral density estimation of bandlimited, wide-sense stationary signals from sub-Nyquist sampled data. This problem has recently received attent...
Michael A. Lexa, Mike E. Davies, John S. Thompson,...
ICASSP
2011
IEEE
7 years 9 months ago
Generalized Restricted Isometry Property for alpha-stable random projections
The Restricted Isometry Property (RIP) is an important concept in compressed sensing. It is well known that many random matrices satisfy the RIP with high probability, whenever th...
Daniel Otero, Gonzalo R. Arce
CORR
2011
Springer
174views Education» more  CORR 2011»
7 years 9 months ago
GPS Signal Acquisition via Compressive Multichannel Sampling
In this paper, we propose an efficient acquisition scheme for GPS receivers. It is shown that GPS signals can be effectively sampled and detected using a bank of randomized corre...
Xiao Li, Andrea Rueetschi, Yonina C. Eldar, Anna S...
TSP
2010
8 years 21 hour ago
Sparse channel estimation for multicarrier underwater acoustic communication: from subspace methods to compressed sensing
Abstract--In this paper, we investigate various channel estimators that exploit channel sparsity in the time and/or Doppler domain for a multicarrier underwater acoustic system. We...
Christian R. Berger, Shengli Zhou, James C. Preisi...
TIT
2010
148views Education» more  TIT 2010»
8 years 1 days ago
Compressed genotyping
Abstract--Over the past three decades we have steadily increased our knowledge on the genetic basis of many severe disorders. Nevertheless, there are still great challenges in appl...
Yaniv Erlich, Assaf Gordon, Michael Brand, Gregory...
TIT
2010
112views Education» more  TIT 2010»
8 years 1 days ago
Exponential bounds implying construction of compressed sensing matrices, error-correcting codes, and neighborly polytopes by ran
In [12] the authors proved an asymptotic sampling theorem for sparse signals, showing that n random measurements permit to reconstruct an N-vector having k nonzeros provided n >...
David L. Donoho, Jared Tanner
TIT
2011
120views more  TIT 2011»
8 years 8 days ago
Deterministic Construction of Binary, Bipolar, and Ternary Compressed Sensing Matrices
—In this paper we establish the connection between the Orthogonal Optical Codes (OOC) and binary compressed sensing matrices. We also introduce deterministic bipolar m × n RIP f...
Arash Amini, Farokh Marvasti
SIAMIS
2011
8 years 8 days ago
NESTA: A Fast and Accurate First-Order Method for Sparse Recovery
Abstract. Accurate signal recovery or image reconstruction from indirect and possibly undersampled data is a topic of considerable interest; for example, the literature in the rece...
Stephen Becker, Jérôme Bobin, Emmanue...
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