DocumentCode
2028819
Title
A parallel AR spectral estimation using a new class of filter bank
Author
Nishikawa, Kiyoshi ; Miyazaki, Kyoko ; Kiya, Hitoshi
Author_Institution
Nippon Steel Co., Kanagawa, Japan
Volume
4
fYear
1993
fDate
27-30 April 1993
Firstpage
244
Abstract
It is reconfirmed that the aliasing terms cannot be cancelled under the ordinary perfect reconstruction filter bank conditions and therefore the perfect reconstruction filter banks cannot be used for the purpose. To realize parallel spectral estimation, the sufficient filter bank conditions are derived and the general procedure for parallel estimation is shown. Then the proposed method is applied to the Levinson-Durbin algorithm and it is demonstrated that the method can be implemented effectively with the algorithm.<>
Keywords
antialiasing; digital filters; parallel processing; parameter estimation; sampled data systems; spectral analysis; Levinson-Durbin algorithm; aliasing; autoregressive spectral estimation; parallel estimation; sufficient filter bank conditions;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
Conference_Location
Minneapolis, MN, USA
ISSN
1520-6149
Print_ISBN
0-7803-7402-9
Type
conf
DOI
10.1109/ICASSP.1993.319640
Filename
319640
Link To Document