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Optimal design and parallel implementation of FIR filters with variable magnitude and fractional-delay responses

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1 Author(s)
Tian-Bo Deng ; Dept. of Inf. Sci., Toho Univ., Chiba, Japan

This paper proposes a weighted least-squares (WLS) method for designing variable one-dimensional (1-D) FIR digital filters with simultaneously variable magnitude and variable non-integer phase-delay responses. First, the coefficients of a variable FIR filter are represented as the two-dimensional (2-D) polynomials of a pair of spectral parameters; one is for tuning the magnitude response, and the other is for varying its non-integer phase-delay response. Then the optimal coefficients of the 2-D polynomials are found by minimizing the total weighted squared error of the variable frequency response. Finally, it is shown that the resulting variable FIR filter can be implemented in a parallel form, which is suitable for high-speed signal processing.

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Circuits and Systems, 2002. ISCAS 2002. IEEE International Symposium on  (Volume:1 )

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