DocumentCode
1584443
Title
Multi-component signal analysis using the polynomial transform
Author
Peleg, Shimon ; Friedlander, Benjamin
Author_Institution
Dept. of Electr. & Comput. Eng., California Univ., Davis, CA, USA
fYear
1992
Firstpage
751
Abstract
An iterative algorithm for estimating the parameters of multiple superimposed polynomial phase signals is presented. The algorithm is based on the ability of the discrete polynomial transform (DPT) to estimate the parameters of a polynomial phase signal in the presence of other interfering signals. Once the parameters of one of the signals are estimated, it can be filtered out from the composite signal. The procedure is then applied to the remainder, which contains a small number of components. The DPT is applied to the analysis of the signal emitted by the big brown bat
Keywords
polynomials; signal processing; transforms; big brown bat; composite signal; discrete polynomial transform; echo location; iterative algorithm; multicomponent signal analysis; parameter estimation; polynomial phase signals; Additive noise; Discrete transforms; Frequency estimation; Iterative algorithms; Noise robustness; Parameter estimation; Phase estimation; Polynomials; Signal analysis; Signal generators;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 1992. 1992 Conference Record of The Twenty-Sixth Asilomar Conference on
Conference_Location
Pacific Grove, CA
ISSN
1058-6393
Print_ISBN
0-8186-3160-0
Type
conf
DOI
10.1109/ACSSC.1992.269095
Filename
269095
Link To Document