Non-uniform cosine modulated filter banks using meta-heuristic algorithms in CSD space

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• 作者：Shaeen Kalathil ; ^{shaeen_k@yahoo.com" class="auth_mail" title="E-mail the corresponding author} ; Elizabeth Elias
• 关键词：Cosine modulation ; Non-uniform filter banks ; Artificial Bee Colony algorithm ; Gravitational Search algorithm ; Harmony Search algorithm
• 刊名：Journal of Advanced Research
• 出版年：2015
• 出版时间：November 2015
• 年：2015
• 卷：6
• 期：6
• 页码：839-849
• 全文大小：744 K

文摘

This paper presents an efficient design of non-uniform cosine modulated filter banks (CMFB) using canonic signed digit (CSD) coefficients. CMFB has got an easy and efficient design approach. Non-uniform decomposition can be easily obtained by merging the appropriate filters of a uniform filter bank. Only the prototype filter needs to be designed and optimized. In this paper, the prototype filter is designed using window method, weighted Chebyshev approximation and weighted constrained least square approximation. The coefficients are quantized into CSD, using a look-up-table. The finite precision CSD rounding, deteriorates the filter bank performances. The performances of the filter bank are improved using suitably modified meta-heuristic algorithms. The different meta-heuristic algorithms which are modified and used in this paper are Artificial Bee Colony algorithm, Gravitational Search algorithm, Harmony Search algorithm and Genetic algorithm and they result in filter banks with less implementation complexity, power consumption and area requirements when compared with those of the conventional continuous coefficient non-uniform CMFB.