DocumentCode :
3095880
Title :
Estimation of sinusoids by adaptive minimum norm extrapolation
Author :
Cabrera, Sergio ; Yang, Jan-Ti ; Chi, Chao-Hsin
Author_Institution :
Dept. of Electr. & Comput. Eng., Pennsylvania State Univ., University Park, PA, USA
fYear :
1990
fDate :
10-12 Oct. 1990
Firstpage :
35
Lastpage :
39
Abstract :
A series of algorithms are described in order of increasing complexity and improved performance. The original scheme of Papoulis and Chamzas (1979) serves as a model for the remaining algorithms. After a review and evaluation of their method, more direct approaches which require less iterations and perform better are then developed by considering adaptive algorithms which produce exact extrapolations at each step. Adaptive conventional bandlimited extrapolation is shown to provide good results in a much smaller number of iterations. Adaptive weighted norm extrapolation which incorporates a spectrum estimation step, rather than thresholding, is then shown to provide almost exact results in the absence of noise. A brief comparison with the principal component linear prediction method is included. The ability to incorporate a priori knowledge about the frequency locations is provided and the potential benefits of its use are briefly illustrated.<>
Keywords :
extrapolation; parameter estimation; spectral analysis; adaptive algorithms; adaptive minimum norm extrapolation; conventional bandlimited extrapolation; iterations; principal component linear prediction; signal processing; sinusoid frequency estimation; spectral analysis; spectrum estimation step; Additive noise; Chaos; Extrapolation; Frequency domain analysis; Frequency estimation; Narrowband; Performance evaluation; Power engineering and energy; Power engineering computing; State estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Spectrum Estimation and Modeling, 1990., Fifth ASSP Workshop on
Conference_Location :
Rochester, NY, USA
Type :
conf
DOI :
10.1109/SPECT.1990.205541
Filename :
205541
Link To Document :
بازگشت