Title
Sparse Reconstruction Of Hardy Signal And Applications To Time-Frequency Distribution
Abstract
In this paper, we introduce a sparse recovery strategy for analytic signals in Hardy space H-2(D), where D denotes the unit disk of the complex plane. The representation strategy is based on the optimization technique. We investigate the asymptotic singular values distribution of the dictionary matrix and give an estimation of the number of rows of the random matrix. To the best of our knowledge, this is the first time that such result is given. This result demonstrates that the dictionary of the normalized Szego kernels (or reproducing kernels) is perfect for decompositions of analytic signals. A numerical example is presented exhibiting the theory. As applications, we still work on time-frequency analysis and propose a new type of non-negative time-frequency distribution associated with mono-components in the periodic case.
Year
DOI
Venue
2013
10.1142/S0219691313500318
INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING
Keywords
DocType
Volume
Hardy space, singular value, analytic signal, sparse representation, time-frequency distribution
Journal
11
Issue
ISSN
Citations 
3
0219-6913
0
PageRank 
References 
Authors
0.34
5
3
Name
Order
Citations
PageRank
Qian Tao15914.00
Shuang Li200.34
Weixiong Mai300.34