Matlab与VC方法

BSS demo file for testing

Matlab及其在信息工程中的应用，对matlab的使用进行了全面的介绍，是matlab初学者的最佳选择(Matlab and its application in information engineering, a comprehensive introduction of matlab, the best choice for beginners )

现代通信系统使用MATLAB（刘树堂，内有代码）(Modern communication systems use MATLAB (LIU Shu-tang, there are code))

The following Matlab project contains the source code and Matlab examples used for continuous morlet wavelet transform. For documentation please refer to: http://arxiv.org/abs/0706.0099

A new blind adaptive multiuser detection scheme based on a hybrid of Kalman filter and subspace estimation is proposed. It is shown that the detector can be expressed as an anchored signal in the signal subspace and the coefficients can be estimated by the Kalman filter using only the signature waveform and the timing of the desired user.(A new blind adaptive multiuser detection s cheme based on a hybrid of the Kalman filter and subs pace estimation is proposed. It is shown that th e detector can be expressed as an anchored signa l in the signal subspace and the coefficients ca n be estimated by the Kalman filter using only th e signature waveform and the timing of the desir ed user.)

利用粒子群算法， 求一个二维函数的最大值。(The use of particle swarm algorithm, the maximum value for a two-dimensional function. )

The Cross Bilateral filter can enhance the PSNR of multi focus images that is in image fuison. Bilateral filtering is a local, nonlinear and non- iterative technique which combines a classical low-pass filter with an edge stopping function that attenuates the filter kernel when the intensity difference between pixels is large. As both gray level similarities and geometric closeness of the neighboring pixels are considered, the weights of the filter depend not only on Mahalanobis distance but also on the distance in gray/color space. The advantage of the filter is that it smoothes the image while preserving edges using neighboring pixels. CBF considers both gray-level similarities and geometric closeness of neighboring pixels in image one to shape the filter kernel and filters the image two.

说明：  光纤基模和第一高阶模特征方程求解 非线性方程求解(Solve the characteristic equation of the Fiber fundamental mode and the first high order model and the nonlinear equation solving)

IEEE30节点测试系统matlab M文件，包含各节点信息。。。。(The IEEE30 nodes test system M-file)

压缩感知算法,提出了一种新型的信道估计算法(compressed sensing although，A novel channel estimation algorithm is proposed)