rake

说明：  最小局方误差的语音增强方法，MMSE的最原始应用方法，比较经典的哦入门算法(Minimum error of the Bureau of speech enhancement, MMSE application of the most primitive methods, comparing the classic Introduction to Algorithms oh)

pomdp中关于策略梯度的matlab代码实现，非常详细。(pomdp on strategies to achieve gradient matlab code, very detailed.)

Space time coding in MIMO sistems

关于普朗克分布的详细讨论。（在mathematica环境下开发）(A detailed discussion of Planck distribution )

matlab下面一个很经典的例子，适合刚入门的人 学习(dddddddddddddddd)

小波变换的MATLAB实现 几个用MATLAB编写的小波变换示例(multiwavelet)

Fountain code for compression

说明：  先进PID控制源程序，需要的可以免费下载(Advanced PID control of source code, need can be downloaded for free)

实现9/7小波正反变换 注1： 采用标准正交方法，对行列采用不同矩阵（和matlab里不同） 注2： 为了保证正交，所有边界处理，全部采用循环处理 注3： 正交性验证，将单位阵带入函数，输出仍是单位阵（matlab不具有此性质） 注4： 此程序是矩阵实现，所以图像水平分量和垂直分量估计被交换位置 注5： 此程序实现的是类小波（wavelet-like）变换，是介于小波包变换与小波变换之间的变换 注6： 此程序每层变换相对原图像矩阵，产生的矩阵都是正交阵，这和小波包一致 注7： 但小波变换每层产生的矩阵，是相对每个待分解子块的正交矩阵，而不是原图像的正交矩阵 注8： 且小波变换产生的正交矩阵维数，随分解层数2分减少 注9: 提升系数可以在MATLAB7.0以上版本，用liftwave( 9.7 )获取，这里直接给出，考虑兼容性 注10：由于MATLAB数组下标从1开始，所以注意奇偶序列的变化 注11：d为对偶上升，即预测；p为原上升，即更新(Note 1: The standard orthogonal method, the ranks of the different matrices (and matlab where different) Note 2: In order to ensure orthogonality, all boundary treatment, all with recycling Note 3: Orthogonal validation, the identity matrix into the function, the output is still the unit matrix (matlab does not have this property) Note 4: This program is a matrix to achieve, so the image horizontal and vertical components is estimated to be swapped Note 5: This class implements the wavelet (wavelet-like) transformation, is between the wavelet packet transform and wavelet transform between Note 6: This procedure transforms each image relative to the original matrix, the resulting matrix are orthogonal matrix, consistent with this and wavelet packet Note 7: But each generation wavelet transform matrix, is to be broken down for each sub-block relative to the orthogonal matrix, rather than the original image of the orthogonal matrix Note 8: Wavelet transf)

Automatic generation control implementation in matlab