FIR濾波器設計:基于免疫算法的頻率抽樣技術
FIR Filter design: frequency sampling technique based on immune algorithm
-
摘要: 該文介紹了免疫算法在數(shù)字濾波器設計頻率抽樣技術中的應用,結合FIR數(shù)字低通、帶通濾波器設計的兩個例子,給出了算法實現(xiàn)的具體操作步驟和實驗結果。實驗數(shù)據(jù)表明,采用免疫算法確定的頻率過渡帶樣本值是最優(yōu)的,設計的FIR濾波器的頻率特性優(yōu)于查表法。文中還把免疫算法與遺傳算法在頻率抽樣技術中的應用作了比較,其收斂速度較遺傳算法明顯加快。
-
關鍵詞:
- 免疫算法; FIR濾波器; 頻率抽樣
Abstract: In this paper an application of Immune Algorithm (IA) to frequency sampling technique in FIR digital filter design is presented. Two examples of lowpass and highpass FIR filter are provided. Experimental data have shown that the value of transition band sample obtained by IA can be ensured to be optimal and the frequency characteristic of the filter is improved. The comparison is made between IA and Genetic Algorithm (GA) in the application, and the convergence speed of IA is faster than that of GA. -
S. A. Hofmeyr, S. Forrest, Architecture for an artificial immune system, Evolutionary Computation, 2000, 8(4), 443-473.[2]J.S. Chun, J. P. Lin, H. K. Jung, et al., Shape optimization of electromagnetic devices using immune algorithm, IEEE Trans. on Magnetics, 1997, MAG-33(2), 1856-1879.[3]Y.Ishida, N. Adachi, Active noise control by an immune algorithm: Adaptation immune system as an evolution, Proc.1996 IEEE Int. Conf.on Evolutionary Computation, Nagoya, 1996, 150-153.[4]丁永生,任立紅,人工免疫系統(tǒng):理論與應用,模式識別與人工智能,2000,13(1),52-59.[5]王磊,潘進,焦李成,免疫算法,電子學報,2000,28(7),74-78.[6]陳小平,于盛林,GA在FIR濾波器設計-頻率抽樣法中的應用,電子學報,2000,28(10),118-120.[7]龔非力,醫(yī)學免疫學,北京,科學出版社,2000,277-280.[8]陳懷琛,王朝英,高西全等譯,數(shù)字信號處理及其MATLAB實現(xiàn),北京,電子工業(yè)出版社,1998,208-254. -
計量
- 文章訪問數(shù): 2218
- HTML全文瀏覽量: 131
- PDF下載量: 557
- 被引次數(shù): 0
下載:
