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- W1520591715 abstract "In this report a new algorithm is presented for the plus/minus factorization of a scalar discrete-time 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 effectiveness of the proposed algorithm is demonstrated by a particular practical application. Namely the problem of computing an H <inf xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</inf> -optimal inverse dynamic filter to an audio equipment is considered as it was proposed by M. Sternad and colleagues in [16] to improve behavior of moderate quality loudspeakers. Involved spectral factorization can be converted into plus-minus factorization in a special case which in turn is resolved by our new method." @default.
- W1520591715 created "2016-06-24" @default.
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- W1520591715 date "2003-09-01" @default.
- W1520591715 modified "2023-10-18" @default.
- W1520591715 title "FFT based algorithm for polynomial plus-minus factorization" @default.
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- W1520591715 doi "https://doi.org/10.23919/ecc.2003.7085295" @default.
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