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RLS

于 2016-05-16 发布 文件大小:2KB
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  基于RLS算法的数据预测与MATLAB实现—— 递归最小二乘(RLS)算法是一种典型的数据处理方法,递归最小二乘(RLS)算法在信号自适应滤波分析中广泛应用,递归最小二乘(RLS)算法收敛速度快,且对自相关矩阵特征值的分散性不敏感,然而其计算量较大。(RLS algorithm based on forecast data and MATLAB realization Recursive Least Squares (RLS) algorithm is a typical method of data processing, recursive least squares (RLS) algorithm is widely used in signal analysis, adaptive filtering, recursive least squares (RLS) algorithm converges fast, and dispersion of autocorrelation matrix eigenvalue insensitive, but its large amount of calculation)

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第5章
.....\ysw5_1.m,438,2014-10-17
.....\ysw5_2.m,1684,2014-10-17

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  • JIN
    录制一段个人自己的语音信号,并对录制的信号进行采样;画出采样后语音信号的时域波形和频谱图;给定滤波器的性能指标,采用窗函数法和双线性变换设计滤波器,并画出滤波器的频率响应;然后用自己设计的滤波器对采集的信号进行滤波,画出滤波后信号的时域波形和频谱,并对滤波前后的信号进行对比,分析信号的变化;回放语音信号;最后,设计一个信号处理系统界面。(Record a person s own voice signal, and recording the signal sampling draw sample after the speech signal time-domain waveform and frequency spectrum given filter performance indicators, using a window function method and the bilinear transform filter design and draw the frequency response filter then use the filter of their own design for the signal acquisition filtering, after filtering the signal to draw the time-domain waveform and spectrum, and filtering of signals before and after contrast, analysis of signal changes playback of voice signal Finally, the design of a signal processing system interface.)
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    2021-02-04 15:29:58下载
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