matconvnet-1.0-beta8.tar

matlab高级讲义，其中包括各个实用例子的编程代码(matlab senior notes, including various practical examples of programming code)

使用pMatlab改写BPSK和QPSK 的Monte Carlo 仿真程序。在多核PC上实现MC仿真速度翻倍（附原程序）(PMatlab rewritten using BPSK and QPSK the Monte Carlo simulation program. In the realization of multi-core PC on MC simulation speed doubled (with the original program))

用SVM进行分类时，需要对原数据进行归一化处理。(When using SVM classification, the need for raw data normalized.)

matlab环境下的Q学习算法代码,从收费网站下的，可以运行。(reinforcement learning code in MATLAB)

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)

用matlab仿真，实现lms对声音信号的去噪，在加不同噪声，用不同去噪方法的比较(Using matlab simulation, to achieve the sound signal denoising lms in different noise increases, comparison of different denoising)

example Kalman Filter

在MATLAB实现的用C实现的KNN算法，输入训练数据文件，和test文件，进行预测分类，并且可以与真实情况比较测试预测正确百分比(Implemented in MATLAB KNN algorithm implemented in C, the input training data file, and test files, to predict the classification and testing with the real situation is more correct percentage of predicted)

自适应均衡器的仿真程序：基于抽头系数，遗忘因子，噪声方差，初始化的延迟信号设计输入信号，利用LMS 算法建立自适应均衡器滤波信号。(Adaptive equalizer simulation program: based tap coefficients, forgetting factor, noise variance, the initialization of the input signal delayed signal design, the use of the LMS algorithm to establish adaptive equalizer filter signal.)

偏最小二乘(PLSR) 分别求出样品集光谱矩阵和样品组分矩阵的主成分矩阵,将这两个矩阵相关联,求其线性关系,用所建立的线性函数来预测未知样品。 (Partial least squares (PLSR) The principal component matrix samples were calculated in the spectral matrix and sample matrix, the two matrix associated with the linear relationship, linear functions are developed to predict unknown samples.)