Title :
Power spectrum estimation via orthogonal transformation
Author :
Ning, Taikang ; Whiting, Susan
Author_Institution :
Dept. of Electr. & Comput. Sci., Trinity Coll., Hartford, CT, USA
Abstract :
An autoregressive (AR) modeling technique using orthogonal transformation to compute AR parameters is introduced. AR power spectra estimated using this approach exhibit less frequency bias, no line splitting, and better frequency resolution when compared to the Burg method. Computation of AR parameters by the new method is efficient and comparable to the Burg method
Keywords :
parameter estimation; spectral analysis; AR parameters; Burg method; autoregressive modelling; orthogonal transformation; power spectrum estimation; Computer science; Constraint optimization; Educational institutions; Frequency estimation; Least squares methods; Power engineering and energy; Power engineering computing; Signal Processing Society; Signal to noise ratio; Spectral analysis;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
Conference_Location :
Albuquerque, NM
DOI :
10.1109/ICASSP.1990.116113
