2008
DOI: 10.1016/j.sigpro.2008.03.007
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Peak constrained least-squares QMF banks

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Cited by 19 publications
(6 citation statements)
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“…Over the past few years, several methods [7,[8][9][10][11][12][13][14][15][16][17][18][19][20][21] have been proposed to minimize the amplitude distortion so that the perfect reconstruction can be achieved. For the perfect reconstruction, the prototype filter in QMF bank must satisfy these conditions [16]:…”
Section: Design Of Qmf Bank Using the Proposed Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Over the past few years, several methods [7,[8][9][10][11][12][13][14][15][16][17][18][19][20][21] have been proposed to minimize the amplitude distortion so that the perfect reconstruction can be achieved. For the perfect reconstruction, the prototype filter in QMF bank must satisfy these conditions [16]:…”
Section: Design Of Qmf Bank Using the Proposed Methodsmentioning
confidence: 99%
“…The author has used same objective function and optimization algorithm as in [16] in which the cutoff frequency is optimized to minimize the objective function instead of p ω . Over the past few years, many other techniques have also been proposed to design linear phase QMF banks using different algorithms [18][19][20][21] so that the perfect reconstruction can be achieved. A comparison of earlier exiting techniques [16][17] is carried out in [18].…”
Section: Introductionmentioning
confidence: 99%
“…All applications are based on the efficient design of filter banks. Initially, the research effort was focused on design of the two-channel QMF banks [6][7][8] and later on it was extended to multi-channel QMF banks that can be designed using three different approaches [1,9]:…”
Section: Introductionmentioning
confidence: 99%
“…The quadrature mirror filter pair has been the basis of many filter banks used in the frequency domain digital signal processing. In applications where a moderate selectivity is required, finite-duration impulse response (FIR) digital filters can easily provide the desired results by using various optimisation methods, including: genetic algorithm (Park and Cho 2006), iterative algorithms developed either in time or in frequency domain (Jou 2007;Kok, Siu, and La 2008), new algorithms developed in frequency domain (Kumar, Singh, and Anand 2008), and particle swarm optimisation like genetic algorithm (Kumar, Singh, and Anand 2009). Unfortunately, when a high selectivity is desired, the required order of a FIR filter can be very high, and in most cases, much higher than that of the corresponding IIR filter.…”
Section: Introductionmentioning
confidence: 99%