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首页 » 语音识别 » 构造一组被噪声污染的方波或三角波数据,试选取适当的FIR滤波器结构和参数,分别应用LMS,DFT/LMS和DCT/LMS算法来实现自适应滤波器,对改组数据进行滤...

构造一组被噪声污染的方波或三角波数据,试选取适当的FIR滤波器结构和参数,分别应用LMS,DFT/LMS和DCT/LMS算法来实现自适应滤波器,对改组数据进行滤...

于 2022-03-18 发布 文件大小:114.63 kB
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构造一组被噪声污染的方波或三角波数据,试选取适当的FIR滤波器结构和参数,分别应用LMS,DFT/LMS和DCT/LMS算法来实现自适应滤波器,对改组数据进行滤波,并分析仿真结果。-Construction Group was one of the Noise Pollution square or triangular wave data, Examination choose appropriate FIR filter structure and parameters, application LMS, DFT/LMS and DCT/LMS algorithm to achieve adaptive filter, the reorganization data filtering, and analysis of simulation results.

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