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
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;
Conference_Titel :
Signals, Systems and Computers, 1992. 1992 Conference Record of The Twenty-Sixth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-3160-0
DOI :
10.1109/ACSSC.1992.269095