Title :
Extraction of periodic signals in colored noise
Author :
Kay, Steven ; Nagesha, Venkatesh
Author_Institution :
Dept. of Electr. Eng., Rhode Island Univ., Kingston, RI, USA
Abstract :
Parameter estimation for a periodic signal in colored noise of unknown power spectral density is examined. The estimator is based on the minimum descriptive length criterion and maximum likelihood theory developed for the CARD model. Computer simulations to demonstrate the excellent performance of the proposed estimator are included
Keywords :
maximum likelihood estimation; parameter estimation; random noise; signal processing; CARD model; MLE; canonical autoregressive decomposition model; colored noise; maximum likelihood theory; minimum descriptive length criterion; parameter estimation; periodic signals; signal extraction; unknown power spectral density; Colored noise; Computer simulation; Contracts; Face detection; Frequency; Maximum likelihood detection; Maximum likelihood estimation; Parameter estimation; Signal processing; Speech processing;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0532-9
DOI :
10.1109/ICASSP.1992.226515
