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给出了kalman、RLS、LMS三种自适应滤波器的仿真程序，三种滤波器都采用了80次迭代，将仿真值与理论值进行了比较-Given kalman, RLS, LMS adaptive filter simulation program of three, three types of filters are used 80 iterations, the simulated values were compared with the theoretical value
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基于matlab的LMS和RLS的自适应滤波器的应用仿真，希望对大家有帮助。-Matlab based on the LMS and RLS adaptive filters using simulation, we want to help.
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各个滤波器的C语言实现，还有LMS自适应算法的C语言实现哦
-C language implementation of all the filters, as well as the C-LMS adaptive algorithm to achieve O
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第7章语音信号的减噪176
7.1自适应滤波器减噪176
7.1.1LMS算法基本原理176
7.1.2基本LMS自适应算法178
7.1.3LMS的自适应陷波器181
7.2谱减法减噪184
7.2.1基本谱减法184
7.2.2改进的谱减法187
7.3维纳滤波法减噪195
7.3.1维纳滤波的基本原理195
7.3.2维纳滤波减噪的具体步骤和函数WienerScalart96197
7.3.3维纳滤波的MATLAB例子1-Noise Chapte
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MATLAB codes for adaptive filtering using least mean square, nominal LMS and Wiener filter using forward linear prediction and backward linear prediction.
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