New algorithm for spectral factorization and its practical application

In this report a new algorithm is presented for the spectral factorization of a two-sided symmetric polynomial. The method is based on the discrete Fourier transform theory (DFT) and its relationship to the Z-transform. Involving DFT computational techniques, namely the famous fast Fourier transform...

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Bibliographic Details
Published in:ECC : 2001 European Control Conference : 4-7 September 2001 pp. 3104 - 3109
Main Authors: Jezek, J., Hromcik, M., Sebek, M.
Format: Conference Proceeding Journal Article
Language:English
Published: IEEE 01.09.2001
Subjects:
Accuracy
Algorithms
Computation
Computational efficiency
Discrete Fourier transforms
Factorization
Fourier transforms
Interpolation
Polynomials
Signal processing algorithms
Sound filters
Spectra
Spectral factorization. Polynomial design methods
Vectors
ISBN:9783952417362, 395241736X
Online Access:Get full text
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Summary:In this report a new algorithm is presented for the spectral factorization of a two-sided symmetric polynomial. The method is based on the discrete Fourier transform theory (DFT) and its relationship to the Z-transform. Involving DFT computational techniques, namely the famous fast Fourier transform routine (FFT), brings high computational efficiency and reliability. The power of the proposed procedure is employed in a particular practical application. Namely the problem of computing an H 2 -optimal inverse dynamic filter to an audio equipment is considered as it was proposed by M. Sternad and colleagues in [12] to improve behavior of moderate quality loudspeakers. Involved spectral factorization is resolved by our new method and its performance is compared with existing algorithms.
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ISBN:9783952417362
395241736X
DOI:10.23919/ECC.2001.7076408