1999
DOI: 10.1109/78.740143
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Design of IIR digital allpass filters based on eigenvalue problem

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Cited by 57 publications
(35 citation statements)
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“…This includes IIR filter design approach that can satisfy both magnitude and phase characteristics simultaneously [24][25][26][27][28]. The design of IIR filters with constant group delay in the passband is also carried out by using allpass structures through evaluation of phase response instead of approximating the group delay directly [29][30][31][32]. Some other methods used an indirect approach based on model reduction techniques where a linear-phase FIR filter that meets the required specifications is first designed and then a lower order IIR filter that meets the original amplitude specifications while maintaining a linear-phase response in the passband is obtained [33][34][35].…”
Section: Introductionmentioning
confidence: 99%
“…This includes IIR filter design approach that can satisfy both magnitude and phase characteristics simultaneously [24][25][26][27][28]. The design of IIR filters with constant group delay in the passband is also carried out by using allpass structures through evaluation of phase response instead of approximating the group delay directly [29][30][31][32]. Some other methods used an indirect approach based on model reduction techniques where a linear-phase FIR filter that meets the required specifications is first designed and then a lower order IIR filter that meets the original amplitude specifications while maintaining a linear-phase response in the passband is obtained [33][34][35].…”
Section: Introductionmentioning
confidence: 99%
“…Various design techniques have been proposed with the objective of producing selective digital networks that exhibit approximately linear phase in the frequency band of interest [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15]. A widely applied technique is phase or delay equalization, by cascading a selective IIR elliptic filter to an equalizer, generally composed by first-and second-order allpass filters [3,4].…”
Section: Introductionmentioning
confidence: 99%
“…It can be seen that and are composed of the delay section and allpass filter [20]. Therefore, the design problem of the proposed IIR orthogonal wavelet filter banks can be reduced to the phase approximation of the allpass filter .…”
Section: Design Of Iir Orthogonal Wavelet Filter Banksmentioning
confidence: 99%
“…Thus, the closed-form solution is given by (27) On the other hand, the optimal design with an equiripple frequency response is also needed in many applications of signal processing [2], [11], [19]. The optimization method for designing the equiripple phase response of allpass filters has been proposed in [20] by using the well-known Remez exchange algorithm, where the obtained equiripple solution is optimal in the minimax (Chebyshev) sense. Furthermore, the allpass filters with a specified degree of flatness can also be designed by the approach proposed in [22].…”
Section: Design Of Iir Orthogonal Wavelet Filter Banksmentioning
confidence: 99%
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