255 search results - page 6 / 51 » Sampling Sparse Signals on the Sphere: Algorithms and Applic... |
CISS
2010
IEEE
14 years 1 months ago
2010
IEEE
—Sparse representations have emerged as a powerful tool in signal and information processing, culminated by the success of new acquisition and processing techniques such as Compr...
ICASSP
2008
IEEE
15 years 4 months ago
2008
IEEE
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...
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STOC
2012
ACM
13 years 9 hour ago
2012
ACM
We consider the problem of computing the k-sparse approximation to the discrete Fourier transform of an ndimensional signal. We show: • An O(k log n)-time randomized algorithm f...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
This paper proposes a Bayesian algorithm to estimate the parameters of a smooth transition regression model. With in this model, time series are divided into segments and a linear...
CORR
2008
Springer
14 years 8 months ago
2008
Springer
Abstract--A traditional assumption underlying most data converters is that the signal should be sampled at a rate exceeding twice the highest frequency. This statement is based on ...