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有关于直接可运行卷积神经网络的各类matlab源代码(The matlab code of the convolution neural network can directly run the matlab code of the convolution neural network,)

cs的omp恢复算法,使用恢复矩阵，观测矩阵(The physics of compressive sensing (CS) and the gradient-based recovery algorithms are presented. First, the di® erent forms for CS are summarized. Second, the physical meanings of coherence and measurement are given. Third, the gradient-based recovery algorithms and their geometry explanations are provided. Finally, we conclude the report and give some suggestion for future work.)

对于matlab中M文件的知识 针对怎样调用M文件以及一些使用方法的介绍 适合初学者当中对于M文件的使用有问题的读者(M file for matlab in the knowledge of how to call for the M file, and some introduction for beginners to use these files for M readers question the use of)

计算方法中关于改进的Euler方法的Matlab程序，以及实例验证。(Matlab program calculation method, improved Euler method, as well as instances of verification.)

DYNAMIC dynamites of SIMULATIO simulinga N MODEL OF A HYBRID POWER SYSTEM so that dynamics of hybrid solar and wind can be analyzed

短时傅里叶变换程序，对不同窗函数、不同窗长下的时频域谱进行分析。(Short time Fourier transform procedures, different window function, different window length under the time-frequency domain spectral analysis.)

该算法是实现Kmean聚类算法。包含初始聚类中心，聚类成员列表，最终聚类中心，最终聚类中心的距离，方差分析表，每个聚类中的案例数。(The algorithm is a clustering algorithm to achieve Kmean. Contains the initial cluster centers, cluster membership list, the final cluster centers the final cluster centers, ANOVA table, the number of cases in each cluster.)

蒙特·卡罗方法（Monte Carlo method），也称统计模拟方法，是二十世纪四十年代中期由于科学技术的发展和电子计算机的发明，而被提出的一种以概率统计理论为指导的一类非常重要的数值计算方法。是指使用随机数（或更常见的伪随机数）来解决很多计算问题的方法。与它对应的是确定性算法。蒙特·卡罗方法在金融工程学，宏观经济学，计算物理学（如粒子输运计算、量子热力学计算、空气动力学计算）等领域应用广泛。(The Monte Carlo method, also known as the statistical simulation method, was proposed in the mid-1940s due to the development of science and technology and the invention of electronic computers. A very important numerical calculation method for classes. Refers to the use of random numbers (or more common pseudo-random numbers) to solve many computational problems. Corresponding to it is a deterministic algorithm. The Monte Carlo method is widely used in financial engineering, macroeconomics, computational physics (such as particle transport calculation, quantum thermodynamics calculation, aerodynamic calculation).)

PCA用于组成分分析，在labview下编程的，对于初学PCA有一定的帮助(PCA analysis labview)

用身高和体重数据进行性别分类 Parzen,Fisher(sex-disaggregated based on height and weight data Parzen,Fisher)