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最小方差调节器和最小方差自校正调节器。 设计最小方差调节器和最小方差自校正调节器，实现闭环仿真控制，了解这两种调节器的性质，特别是某些参数(如遗忘因子)的影响(Minimum variance regulator and the minimum variance self-tuning regulator. Design of minimum variance and minimum variance regulator self-tuning regulator to achieve closed-loop simulation of control, to understand the nature of the two regulators, in particular some of the parameters (such as forgetting factor) of)

清华大学张学工模式识别基础课件，一共13个章节，齐全。(Qinghua Zhang workers pattern recognition based courseware, complete.)

matlab 图像/视频处理实例整本书第一到第十章源码(matlab used in processing in images)

深度典型相关分析的python实现，DCCA是Galen Andrew于2013年发表于ICML上的一篇文章，提出了将深度网络与CCA结合的新方法。(Deep canonical correlation analysis)

说明：  用于特征降维，特征融合，相关分析等多元数据分析的鉴别型典型相关分析（DCCA）Matlab代码实现。(For feature reduction, feature fusion, multivariate data analysis and correlation analysis based identification of canonical correlation analysis (DCCA) Matlab code implementation.)

谱密度的计算 用于水文时间序列的周期分析(Cycle analysis of the calculation of the spectral density for hydrological time series)

频谱分析中，高密度频谱和高分辨率频谱之间的区别(Spectrum analysis, the difference between the spectrum of high-density and high-resolution spectrum)

测试MATLAB系统中，数组和循环的执行效率文件。(MATLAB test system, the efficiency of the array and loop files.)

说明：  在机器学习问题中，很多的算法归根到底就是在求解一个优化问题，然而我们的现实生活中也存在着很多的优化问题，例如道路上最优路径的选择，商品买卖中的最大利润的获取这些都是最优化的典型例子，前面也陆续地有一些具体的最优化的算法，如基本的梯度下降法，牛顿法以及启发式的优化算法(PSO,ABC等)。(In machine learning problems, many algorithms are in the final analysis to solve an optimization problem. However, in our real life, there are also many optimization problems, such as the choice of the optimal path on the road, the acquisition of the maximum profit in the sale of goods. These are typical examples of optimization. There are also some specific optimization algorithms, such as basic gradient Descent method, Newton method and heuristic optimization algorithm (PSO, ABC, etc.).)

小波变换应用MATLAB对于图像处理的压缩程序(Application of MATLAB Wavelet compression for image processing procedures)