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chuangbijiao

于 2015-04-09 发布 文件大小:11KB
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  设计一个阻带下限0.45*pi 阻带上限0.8*pi 通带下限0.55*pi 阻带上限0.7*pi 通带衰减0.15dB,阻带衰减40dB,分别用汉宁窗汉明窗凯瑟窗布莱克曼窗设计滤波器,对比分析各方法优劣(Design a stop-band limit 0.45* pi stopband limit 0.8* pi Passband lower limit 0.55* pi stopband limit 0.7* pi Passband attenuation 0.15dB, stop-band attenuation of 40dB, respectively Hanning Hamming window Kaiser window Blackman window filter design, comparative analysis of the pros and cons of each method)

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chuangbijiao.docx,14278,2015-04-09

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    文件包含三个子文件:dec.m,test_dec.m,recon.m dec.m文件使用MATLAB语言自己动手编写小波分解算法; test_dec.m使用MATLAB语言测试dec.m文件中自己编写的小波Mallat分解算法正确性 recon.m使用MATLAB语言自己动手编写Mallat重构算法 函数使用MATLAB语言,没有调用MATLAB小波分解函数,而是自己动手编写的小波Mallat算法对含噪声的信号进行分解、重构;这对对小波分解的初学者,加深对小波分解有着引导作用。(File contains three subfolders: dec.m, test_dec.m, recon.mdec.m using MATLAB language to prepare yourself wavelet decomposition algorithm test_dec.m using MATLAB language testing dec.m document I have written Mallat wavelet decomposition algorithm correctly recon.m use of MATLAB language to prepare yourself Mallat reconstruction algorithm function using the MATLAB language, do not call the MATLAB wavelet decomposition function, but do-it-yourself prepared Mallat wavelet algorithm with noise signal decomposition, reconstruction This is the wavelet Decomposition of the beginners, have a better understanding of the guiding role of wavelet decomposition.)
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