DESIGN OF GENLOT FILTERS BY NONLINEAR OPTIMIZATION ALGORITHMS : PERFORMANCE COMPARISON IN A SINGLE DESIGN OBJECTIVE

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概要

• 論文の詳細を見る

• As the first stage to develop the design method for a GenLOT (generalized linear-phase lapped ortliogonal transforms) in multi-objective cases by nonlinear optimization meUiods, I selected promising optimiyation methods and compared their perfomiance in a single-objective case (coding gain) by experiments. I selected the following six optimisation methods: the pattern search method, the simplex method, the implicit filtering method, the DIRECT (Dividing RECTangles) algorithm, the adaptive simulated annealing algorithm (ASA) and the deterministic genetic algoritlim (DCDGA). Main results are as follows. The pattern search and simplex methods attained relatively better results than the three global search methods with extremely fewer ftmction evaluatioas. The best results were obtained by the pattern search method. Concerning the global search capability, the best one is DIRECT-A and ASA and DCDGA follow it On the contrary, the local search capabilities of these three methods are relatively weak.

• 一般社団法人電子情報通信学会の論文
• 2003-01-14

著者

• Shimodaira Hisashi

  Faculty Oflnformalion And Communications Bunkyo University

関連論文

• DESIGN OF GENLOT FILTERS BY NONLINEAR OPTIMIZATION ALGORITHMS : PERFORMANCE COMPARISON IN A SINGLE DESIGN OBJECTIVE

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