Fast-fourier-Transform

我的毕业设计程序--对遭受仿射变换、非线性形变的图像实现基于模型的图像配准（需手动选取配准点），matlab仿真程序。(I graduated from the design process-- from the affine transformation, Nonlinear deformation of the image of the model-based image registration (required manually selected registration points). Matlab simulation program.)

在matlab环境下实现卷积码的维特比译码(convolutional VA decoding)

鲍威尔算法的matlab实现，鲍威尔算法是直接利用函数值来构造共轭方向的一种方法(Powell algorithm matlab realize)

常用的一些图像处理Matlab源代码,比如数字图像的傅立叶变换，二维离散余弦变换的图像压缩，采用灰度变换的方法增强图像的对比度，直方图均匀化，图像滤波等(Some commonly used image processing Matlab source code, such as digital image Fourier transform two-dimensional discrete cosine transform image compression method using gray transform image contrast enhancement, histogram equalization, image filtering, etc.)

4阶龙格库塔解解微分方程，源程序的编写资料的详细功能(Runge kutta)

complete text extraction for text window

simulator of STO estimation in OFDM sysmtem

matlab编写的文本分类的程序，可以对已经分好词的文本进行分类，先自己导入数据，用libsvm中的svm进行分类和预测，特征用tfidf算法，还利用卡方检验进行了特征选择，可自行设定阈值。(matlab prepared text classification program, you can have a good word of text classification, classification and prediction using libsvm in svm, characterized by tfidf algorithm, also used the chi-square test was used for feature selection, you can set thresholds on their own.)

In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar -xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets. (In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar-xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets. )

matlab混沌工具箱，可以直接调用运行(other matlab Chaos Transfer，Can be called directly)