distribution

基于matlab的神经网络训练方法，其中采用不同的隐层，自己编写的，实现多类数据的分类(It ia a code to learn network.)

The demo shows two nonlinear interference cancellation methods - Zero-Forcing and Minimum-Mean-Square-Error - with symbol cancellation and compares their performance with the Maximum-Likelihood optimum receiver.

用MATLAB实现fft变换，很easy，源代码如下(MATLAB，fft)

使用匈牙利算法实现二部图最大匹配，最终找到二部图的最大匹配(achieve the max matching in bipartite graph useing the method of Hungarian algorithm)

说明：  一个稀疏傅里叶变换的快速实现代码。哈希映射法为重构算法。(A fast implementation code of sparse Fourier transform.Hash mapping is a reconstruction algorithm.)

Digital Modulation in MATLAB OOK

acdc_sym: appoximate joint diagonalization (in the direct Least-Squares sense) of a set of symmetric matrices, using the iterative AC-DC algorithm.

The following Matlab project contains the source code and Matlab examples used for fitting an ellipse to a given set of points. The most accurate and robust fit minimizes geometric (orthogonal) distances the observed points to the fitting curve.

MATLAB中SIMULINK模块的教程(SIMULINK module in MATLAB Tutorial)

A filter bank structure that can deal effectively with piecewise smooth images with smooth contours, was proposed by Minh N Do and Martin Vetterli. The resulting image expansion is a directional multiresolution analysis framework composed of contour segments, and thus is named contourlet. This will overcome the challenges of wavelet and curvelet transform. Contourlet transform is a double filter bank structure. It is implemented by the pyramidal directional filter bank (PDFB) which decomposes images into directional subbands at multiple scales. In terms of structure the contourlet transform is a cascade of a Laplacian Pyramid and a directional filter bank. In essence, it first use a wavelet-like transform for edge detection, and then a local directional transform for contour segment detection. The contourlet transform provides a sparse representation for two-dimensional piecewise smooth signals that resemble images.