150 search results - page 18 / 30 » Compressive sensing for sparsely excited speech signals |
TSP
2010
13 years 2 months ago
2010
We present two simple methods for recovering sparse signals from a series of noisy observations. The theory of compressed sensing (CS) requires solving a convex constrained minimiz...
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
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 ...
ICIP
2007
IEEE
14 years 9 months ago
2007
IEEE
We introduce a new approach to image reconstruction from highly incomplete data. The available data are assumed to be a small collection of spectral coef?cients of an arbitrary li...
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
Compressive sensing aims to recover a sparse or compressible signal from a small set of projections onto random vectors; conventional solutions involve linear programming or greed...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
In this paper we introduce an information theoretic approach and use techniques from the theory of Huffman codes to construct a sequence of binary sampling vectors to determine a s...