MATLAB-Collection-Vol1-

欧拉方法的MATLAB实现，这个程序是有运行结果的(A program )

线性预测法是语音处理中的核心技术，它在语音识别、合成、编码、说话人识别等方面都得到了成功应用。有的专家认为，进20年中语音处理技术的飞速发展与以线性预测为中心的信号处理技术是分不开的。简单来说，就是：一个语音的抽样能用过去若干语音抽样的线性组合来逼近。 (Linear prediction is the core voice processing technology, which in speech recognition, synthesis, coding, speaker recognition and so on have been successfully applied. Some experts believe that 20 years into the rapid development of voice processing technology and to forecast as the center of linear signal processing technology are inseparable. To put it simply, is: Can a voice sample voice over the past number of linear combinations to approximate the sample.)

matlab生成word转载，利用matlab生成word(Matlab generates word reprint)

模型预测控制主要包含预测模型，滚动优化，在线反馈(Model predictive control mainly includes predictive model, rolling optimization, Feedback)

电力系统建模，非常适合于初学者及专业人士参考学习(Power system modeling, very suitable for beginners and professionals refer to learning)

matlab FastICA快速独立分量分析 通过FastICA工具箱(内含),对图像、音频进行盲源分离,去均值,白化处理,支持tif,jpg,bmp,wav等多种格式，并附有详细程序注释及sample供运行使用(matlab FastICA fast independent component analysis FastICA toolbox (included), images, audio, blind source separation to mean whitening process to support a variety of formats such as tif, jpg, bmp, wav, together with a detailed program comments The sample for the run to use)

各种方法的去噪程序 den1.m 使用半软阈值方法对图像进行去噪 den1_5_1.m 半软阈值的改进方法 对第一层重构图像进行均值滤波 den1_9.m 半软阈值的改进方法 将线性衰减的函数改为指数的 den1_10.m 半软阈值的改进方法 对第一层的重构图像再次进行小波阈值去噪 den2.m 用软硬阈值函数的改进方法进行去噪 den3.m 用广义阈值函数进行去噪 den4.m 用自适应特征阈值函数进行去噪 wdenoise.m 用Donoho阈值或Birge-Massart策略及软阈值或硬阈值函数进行去噪 meanfilter.m 均值滤波方法进行去噪(对比用) medfilter.m 中值滤波方法进行去噪(对比用)(Denoising procedures for various methods Den1.m using semi soft threshold method for image denoising The improved method of den1_5_1.m semi soft threshold for the first layer of the reconstructed image The improved method of den1_9.m semi soft threshold will be changed linear to exponential. The improved method of den1_10.m semi soft threshold for the first layer of the reconstructed image again for wavelet thresholding denoising Den2.m using the soft and hard threshold function to improve the method of denoising Den3.m using generalized threshold function for denoising Den4.m with adaptive feature threshold function for denoising Wdenoise.m with Donoho threshold or Birge-Massart strategy and soft threshold or hard threshold function for denoising Meanfilter.m mean filtering method for denoising (contrast) Medfilter.m median filtering method for denoising (contrast))

基于信息最大化的盲源分离，采用2路混合超高斯信号，分离效果明显(Based on information maximization blind source separation using 2-way mixed super-Gaussian signal, separation effect is obvious)

MATLAB函数参考 MATLAB函数参考 MATLAB函数参考(MATLAB function index MATLAB function index.doc MATLAB function index.doc)

hough transform test images