This paper demonstrates the possibility of finding suitable design parameters for a filter bank optimization procedure by the use of global optimization techniques. After the Nayebi filter bank optimization algorithm is summarized and its degrees of freedom are described, a global optimization framework for the parameters involved in the design process is presented. It includes a cost function monitoring the frequency characteristics and reconstruction properties of different filter bank designs and allows for an automatic search of suitable design parameters for a given number of bands and taps and a predefined delay. The global optimization itself is done by means of well known methods like pattern search and the genetic algorithm. Experiments show that with our method manual parameter adjustment becomes obsolete. Furthermore with our proposed cascaded optimization, compared to manually adjusted designs, a gain of up to 10 dB in stopband attenuation can be achieved without loss in reconstruction quality.
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