PDFmatlabsovler

Script to generate a Monte Carlo plot of number of measurements M vs reconstruction SNR in dB

《MATLAB神经网络30个案例分析》中的第22个例子，案例22 LVQ神经网络的预测——人脸朝向识别。希望对大家有一定的帮助！ (The MATLAB neural network analysis of 30 cases of 22 example, 22 cases of LVQ neural network prediction, face toward the identification. Hope to have certain help to everybody!)

IMAGE ROTATE PROGRAMMMMMMMM

matlab编写的对二值图像的数字水印添加与提取程序。压缩包中有示例图片。可以添加水印，结果肉眼不易分辨出变化，不影响使用。可加入信息长度达100个字节。提取时可验证是否被修改过，如修改不严重，可提取隐藏信息，如果修改过多，则只能确定是否有修改，而不知道隐藏的信息是什么(matlab prepared binary image of the digital watermark added and extraction procedures. Compression package has sample images. Can add watermarks, the results of the changes are not easily distinguishable from the naked eye, does not affect use. Can be added to the information length of 100 bytes. Verifiable extraction has been modified, such as modification is not serious, can extract hidden information, if too many modifications, you can only determine whether changes were needed, they do not know what information is hidden)

说明：  此文件为satool的matlab源代码,适合参加数学建模的同学使用(Satool this file for the matlab source code, suitable for students to participate in the use of mathematical modeling)

经典DSP书籍，最新的第二版。chm格式，非常清晰。(classic books, the latest version of the second. Chm format, very clear.)

基于simulink的单相不控整流桥电容负载的仿真模型(Single-phase controlled rectifier bridge capacitive load of the simulation model)

通过学习此程序可以了解相关方面的语言结构，对于编程参考和借鉴有很大的实际意义，肯定有很大的帮助(Chinese verification code)

采用了小波去噪的思想，课程设计时编写的matlab程序代码，基于分段非线性权重值的Pso算法，搭建OFDM通信系统的框架，进行逐步线性回归，进行波形数据分析,最大似然（ML）准则和最大后验概率（MAP）准则，采用偏最小二乘法。( Using wavelet denoising thought, Course designed to prepare the matlab program code, Based on piecewise nonlinear weight value Pso algorithm, Build a framework OFDM communication system, Stepwise linear regression, Waveform data analysis, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Partial least squares method.)

matlab图像处理工具，包含了很多常用和不常用的处理方法(matlab image processing tool, containing a number of commonly used and are not commonly used approach)