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chapter6_1
- 用自相关法求使信号s均方预测误差为最小的预测系数 算法为Levinson-Durbin快速递推算法 -Method using the signal from the associated mean square prediction error s for the smallest prediction coefficient algorithm Levinson-Durbin recursive algorithm for fast
Mmse84
- 利用Y.Ephraim提出的短时谱幅值最小均方误差法估算的语音增强法，附有相应程序和文献。-Y. Ephraim proposed the use of short-term amplitude spectrum MMSE Speech Enhancement Estimating law, with the corresponding procedures and documentation.
Mmse85
- 利用Y.Ephraim提出的对数谱幅值最小均方误差法估算的语音增强法，附有相应程序和文献。-Y. Ephraim proposed use of spectrum amplitude MMSE Speech Enhancement Estimating law, with the corresponding procedures and documentation.
lpc
- 读入一段语音信号，通过自相关法求s的均方预测误差为最小的预测系数-Read into a voice signal s, by the autocorrelation method and the mean square prediction error for the smallest prediction coefficients
yucexishu
- 此程序的功能是用自相关法求使信号s均方预测误差为最小的预测系数 -Feature of this program is to use the autocorrelation method for the signal s smallest mean squared prediction error of prediction coefficients
lms
- 对一个语音信号进行加噪，然后使用lms最小均方误差法去噪-For a voice signal noise, and then use the minimum mean square error method lms de-noising
voice-signal-processing
- 用自相关法求使信号s均方预测误差为最小的预测系数 已知语音文件求出其LPC系数后，调用a_lsf_conversion.m函数求其对应的LSF 求连续20帧语音的16阶ISF轨迹图-Request by autocorrelation of the signal s mean square prediction error is minimized prediction coefficient Known voice file LPC coefficients obtained its cal
biwpx
- 利用最小二乘算法实现对三维平面的拟合，预报误差法参数辨识-松弛的思想，鲁棒性好，性能优越。- Least-squares algorithm to fit a three-dimensional plane, Prediction Error Method for Parameter Identification- the idea of relaxation, Robustness, superior performance.
pudn_Renj_matlab
- 1)football.m简单地以阵列形式显示一副图； 2）pre.m是心音信号过滤归一化预处理的过程； 3）wavlet.m是用db6小波进行信号的分解和重构，且求包络能量函数； 4）path.m是利用KKT条件的路径跟踪法，用于求解二次规划问题； 5）LRmmse是MIMO通信中常用检测方法，结合了最小均方误差准则和格基规约的知识。-1) football.m simply displays a graph in an array 2) pre.m is the proc