GPUmat_User_Guide_0.25

很有用的对心电信号进行小波处理提取特征(n Very useful for ECG feature extraction using wavelet processing)

说明：  该算法包含极大似然估计的梯度算法和快速ica算法，已经调试成功过，调试时注意所给信号x是行向量还是列向量(The algorithm contains the maximum likelihood estimation of the gradient method and fast ica algorithm, has been debugged, debugging attention given signal x is a row vector or column vector)

水声通信中的信号分析，传输，特性， 在多径下的数学仿真(Underwater acoustic communication signal analysis, transmission, characteristics, in the mathematical simulation of multipath)

NSGA2算法中文版详细介绍,非常实用的多目标优化代码(NSGA2 algorithm Chinese version in detail)

说明：  最速下降法是迭代法的一种,可以用于求解最小二乘问题(线性和非线性都可以)。在求解机器学习算法的模型参数，即无约束优化问题时，梯度下降（Gradient Descent）是最常采用的方法之一，另一种常用的方法是最小二乘法。在求解损失函数的最小值时，可以通过梯度下降法来一步步的迭代求解，得到最小化的损失函数和模型参数值。反过来，如果我们需要求解损失函数的最大值，这时就需要用梯度上升法来迭代了。在机器学习中，基于基本的梯度下降法发展了两种梯度下降方法，分别为随机梯度下降法和批量梯度下降法。(The steepest descent method is a kind of iterative method, which can be used to solve the least squares problem (both linear and nonlinear). In solving the model parameters of machine learning algorithm, that is, unconstrained optimization, gradient descent is one of the most commonly used methods, and the other is the least square method. When solving the minimum value of loss function, the gradient descent method can be used step by step to get the minimum value of loss function and model parameters. Conversely, if we need to solve the maximum value of the loss function, then we need to use the gradient rise method to iterate. In machine learning, two kinds of ladders are developed based on the basic gradient descent method)

对snake连接程序进行改进，使得边缘提取后断续的边缘能够完成连接。(Linker on the snake to improve so that the edge of edge detection can be completed after the intermittent connection.)

说明：  关于VC++和Matlab混合编程的一本PDF格式的书籍。(On the VC++ and Matlab programming mixed a PDF format of the book.)

说明：  该程序主要也是针对滤波器设计的，实现了对一个语音信号的滤波处理(The program is largely designed for the filter, the realization of a voice signal filtering)

Face recogination using PCA in matlab

一个按照时间抽取的基2快速傅里叶变换（基2FFT-DIT）。输入倒位序，输出自然顺序。(A time taken by the base 2 fast Fourier transform (base 2FFT-DIT). Enter the inversion sequence, the output of natural order.)