基于遺傳算法的iir數(shù)字濾波器的設(shè)計(jì)與仿真-全文預(yù)覽
【正文】 定。遺傳算法從串集開始搜索，覆蓋面大，利于全局擇優(yōu)。這種特殊的組合方式將遺傳算法與其它搜索算法區(qū)別開來(lái)。這個(gè)過(guò)程將導(dǎo)致種群像自然進(jìn)化一樣的后生代種群比前代更加適應(yīng)于環(huán)境，末代種群中的最優(yōu)個(gè)體經(jīng)過(guò)解碼，可以作為問題近似最優(yōu)解。每個(gè)個(gè)體實(shí)際上是染色體帶有特征的實(shí)體。遺傳算法成功的應(yīng)用包括：作業(yè)調(diào)度與排序、可靠性設(shè)計(jì)、車輛路徑選擇與調(diào)度、成組技術(shù)、設(shè)備布置與分配、交通問題、 組合 優(yōu)化、機(jī)器學(xué)習(xí)、信號(hào)處理、 自適應(yīng)控制 和人工生命等 領(lǐng)域 。此外一些新的理論和方法在應(yīng)用研究中亦得到了迅速的發(fā)展，這些無(wú)疑均給遺傳算法增添了新的活力。 關(guān)鍵詞： IIR 數(shù)字濾波器 遺傳算法 武漢理工大學(xué)《數(shù)字信號(hào)處理》 2 Abstract Digital filter with Finite Impulse Response(FIR)has lots of advantages,such as systemic stability,linear phase， etc． It has been widely used in digital signal processing． The geic algorithm has lots of merits， such as the memorability,distribution,and diversity． It is widespread in the fields of intelligent putation,pattern recognition and optimization design． This paper presents a designing method of digital filter． It is based on the bination geic algorithm with the cosine sequences． The window function is constructed effectively by weighting cosine sequences． The corresponding weighting coefficients are puted b， the geic algorithm． Digital filter is realized finally by windowing approach． In order to accelerate the convergent speed and improve the precision,elitist model and floatingpoint coding are adopted． The efficiency of the proposed method is validated by simulation experiments taking on designing low pass digital filters． The designing method presented in this paper has some advantages,such as ood flexibility,universality,and so on． Keywords： IIR digital filter Geic algorithm 武漢理工大學(xué)《數(shù)字信號(hào)處理》 3 1 遺傳算法 遺傳算法的產(chǎn)生與發(fā)展 遺傳算法 （ GeicAlgorithm） 是一類借鑒生物界的進(jìn)化規(guī)律（適者生存，優(yōu)勝劣汰遺傳機(jī)制）演化而來(lái)的隨機(jī)化搜索方法。 武漢理工大學(xué)《數(shù)字信號(hào)處理》 基于遺傳算法的 IIR 數(shù)字濾波器的設(shè)計(jì)與仿真 班級(jí)： 組員： 武漢理工大學(xué)《數(shù)字信號(hào)處理》 目錄 摘要 ................................................................................................................................ 1 Abstract ....................................................................................................................... 2 1 遺 傳算法 .................................................................................................................... 3 遺傳算法的產(chǎn)生與發(fā)展 ................................................................................ 3 遺傳算法的概述 ............................................................................................ 4 遺傳算法的特點(diǎn) ............................................................................................ 4 遺傳算法基本流程 操作 ................................................................................ 5 2 數(shù)字濾波器 ................................................................................................................ 8 數(shù)字濾波器的簡(jiǎn)介 ......................................................................................... 8 FIR 和 IIR 數(shù)字濾波器的概述 ...................................................................... 8 FIR 數(shù)字濾波 器 ................................................................................... 8 IIR 數(shù)字濾波器 .................................................................................... 9 FIR 數(shù)字濾波器與 IIR 數(shù)字濾波器的區(qū)別 .................................... 10 3 數(shù)字濾波器的設(shè)計(jì)方法 ......................................................................................... 11 數(shù)字濾波器的設(shè)計(jì)要求 ............................................................................... 11 4 基于遺傳算法的 IIR 數(shù)字濾波器的設(shè)計(jì)與仿真 ................................................. 14 Matlab 軟件的概述 ...................................................................................... 14 IIR 數(shù)字濾波器的設(shè)計(jì) ................................................................................ 14 數(shù)字濾波器設(shè)計(jì)的簡(jiǎn)要分析 ............................................................ 14 實(shí)例比較一般 算法 設(shè)計(jì)思路和遺傳算法設(shè)計(jì)思路 ........................ 16 IIR 數(shù)字濾波器的仿真結(jié)果 ........................................................................ 20 仿真圖形 ............................................................................................ 20 5 小結(jié) .......................................................................................................................... 21 6 參考文獻(xiàn) .................................................................................................................. 22 附件 .............................................................................................................................. 23 武漢理工大學(xué)《數(shù)字信號(hào)處理》 1 摘要 無(wú)限 脈沖響應(yīng)數(shù)字濾波器 (IIR)具有頻特性精度高 、 實(shí)現(xiàn)簡(jiǎn)單等優(yōu)點(diǎn)，在數(shù)字信號(hào)處理領(lǐng)域得到了廣泛應(yīng)用 ； 遺傳算法是一類 依自然環(huán)境的進(jìn)化規(guī)律 —— 適者生存優(yōu)勝劣汰遺傳機(jī)制 ， 演化而來(lái)的隨機(jī)化搜索方法。它是現(xiàn)代有關(guān)智能計(jì)算中的關(guān)鍵技術(shù) ， 因而將其應(yīng)用在數(shù)字濾波器算法的優(yōu)化上。尤其是遺傳算法的應(yīng)用研
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