Title
Optimum Rate-Distortion Dictionary Selection for Compression of Atomic Decompositions of Electric Disturbance Signals
Abstract
In this letter, we address rate-distortion-optimum compression of signals from electric power system disturbances, using atomic decompositions. Usually, such optimization is obtained assuming a single dictionary and consists of finding the best compromise between the quantization of the coefficients in the atomic decomposition and its number of terms. Here, several parameterized dictionaries are u...
Year
DOI
Venue
2007
10.1109/LSP.2006.882117
IEEE Signal Processing Letters
Keywords
Field
DocType
Rate-distortion,Dictionaries,Matching pursuit algorithms,Quantization,Computational modeling,Computational complexity,Pursuit algorithms,Decoding,Frequency,Damping
Mathematical optimization,Parameterized complexity,Electric power system,Coding (social sciences),Quantization (signal processing),Data compression,Rate–distortion theory,Rate–distortion optimization,Mathematics,Computational complexity theory
Journal
Volume
Issue
ISSN
14
2
1070-9908
Citations 
PageRank 
References 
7
0.55
6
Authors
5
Name
Order
Citations
PageRank
Michel P. Tcheou1143.14
Lisandro Lovisolo2378.82
Eduardo A. B. da Silva323846.50
Marco A. M. Rodrigues4141.79
Paulo S. R. Diniz524738.72