DocumentCode :
3278711
Title :
Signal space dimension reduction for AWGN channels with application to CPM
Author :
Moqvist, Pär ; Aulin, Tor M.
Author_Institution :
Ericsson Mobile Data Desgin AB, Goteborg, Sweden
fYear :
2001
fDate :
2001
Firstpage :
280
Abstract :
Using signal energy criteria, the best lower-dimensional representation of a signal set is given by its principal components (PC). A comparison with a previous method by Huber and Liu (1989) shows that the differences are small. However, the minimum distance loss in CPM is generally larger with the PC method; thus it is mainly of theoretical interest. Still, it provides an alternative to Gram-Schmidt approaches, e.g. in simulations
Keywords :
AWGN channels; continuous phase modulation; principal component analysis; signal representation; AWGN channels; CPM; lower-dimensional representation; minimum distance loss; principal components; signal energy criteria; signal space dimension reduction; AWGN channels; Continuous phase modulation; Eigenvalues and eigenfunctions; Energy loss; Frequency; Matrix decomposition; Power engineering and energy; Proposals; Psychology; Signal design;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 2001. Proceedings. 2001 IEEE International Symposium on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-7123-2
Type :
conf
DOI :
10.1109/ISIT.2001.936143
Filename :
936143
Link To Document :
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