matlab-nss--code

给大家传了一份精通matlab6.5教程 我开始学习的时候就在看这个 希望对大家有帮助(a file about matlab 6.5)

一步步讲解如何在VC中调用matlab图像处理工具箱来进行canny边缘提取 1.包含pdf文档和源代码 2.源代码code 开发环境是VC6、Matlab7 (a step by step on how to call in VC Matlab Image Processing Toolbox to a canny edge extraction. Pdf files and contains the source code two. Source code development environment is VC6, Matlab7)

瑞利信道下，OFDM系统中使用BPSK调制的误码率（验证可用，与理论值比较）(BER for BPSK in OFDM with Rayleigh multipath channel)

遗传算法用于函数拟合与模式识别的Matlab示例程序 (Genetic algorithm for function fitting and pattern recognition procedures Matlab Example)

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)

一个直升机齿轮信号的模拟分析，通过应用小波分析，对信号进行分解，得到时频图(A helicopter gear signal simulation analysis, through the application of wavelet analysis, signal decomposition, time-frequency diagram obtained)

DFIG wind turbine based on doubly feed induction generator the best generator used

读入一组bmp格式的图像，进行PCA，主成分分析，用于人脸识别系统等(Read a set of bmp format images, the principal component analysis)

matlab程序，可以将信息隐藏在每个字节的LSB中(hide message in lsb of every byte)

说明：  通信中ASK MATLAB 代码，希望对大家在通信与信息系统领域有非常大的帮助！(ASK MATLAB code)