hafuman

分形——生成一片漂亮的树叶，通过一个矩阵迭代并不断刷新生成的图像(fractal-- generating a beautiful leaves, through an iterative matrix and constantly refresh the image)

RPCA (Robust Principal Component Analysis)是目前用于矩阵填充、图像去噪的最有效的优化方法。该代码是求解RPCA的一种数值算法——Exact ALM（Exact Augmented Lagrange Multiplier）(The most basic form of the exact ALM function is [A, E] = exact_alm_rpca(D, λ), and that of the inexact ALM function is [A, E] = inexact_alm_rpca(D, λ), where D is a real matrix and λ is a positive real number. We solve the RPCA problem using the method of augmented Lagrange multipliers. The method converges Q-linearly to the optimal solution. The exact ALM algorithm is simple to implement, each iteration involves computing a partial SVD of a matrix the size of D, and converges to the true solution in a small number of iterations. The algorithm can be further speeded up by using a fast continuation technique, thereby yielding the inexact ALM algorithm.)

GTRACK Track mouse position and show coordinates in figure title. GTRACK Activates GTRACK. Once it is active the mouse position is constantly tracked and printed on the figure title. A left-click will print the coordinates in the command line and store them.

不同SVD(全局、局部）处理声音、图像、地质信号，里面有一些自己编写的函数，有的地方不太完美(different SVD（global and local) in voice，figure，Geology processing)

This is a GUI based system. The GUI is invoked from the command line by typing "ui_start". The GUI is self explanatory. Tool tips are given in blue color. The cursor needs to be positioned on these for detailed explanation. The main file is "runsim.m". In these simulations the SISO option is not explicitly given. This is because the SISO result for a particular type of modulation is shown in every plot for purposes of comparison. This software has been tested on MATLAB version 6.0 and above with signal processing and communication toolbox options.(This is a GUI based system. The GUI is invoked from the command line by typing " ui_start" . The GUI is self explanatory. Tool tips are given in blue color. The cursor needs to be positioned on these for detailed explanation. The main file is " runsim.m" . In these simulations the SISO option is not explicitly given. This is because the SISO result for a particular type of modulation is shown in every plot for purposes of comparison. This software has been tested on MATLAB version 6.0 and above with signal processing and communication toolbox options.)

应用小波神经网络（WNN）对模式识别处理的一些源程序。(Wavelet neural network (WNN) for pattern recognition to deal with some source code.)

vq矢量量化，对说话人进行识别，内置有语音样本，识别率高达90 。对语音信号进行读取，预处理，特征参数提取，向量量，训练，对比识别。(vq vector quantization for speaker identification, built-in voice samples, the recognition rate of 90 . Read the speech signal, preprocessing, feature extraction, the amount of vector, training, recognition comparison.)

说明：  相干增强扩散，可用于去噪，去噪的同时可较好的保持边缘特征 (failed to translate)

利用matlab对傅里叶离散和连续信号的仿真程序，比较全面，可完美运行(Using matlab simulation of the Fourier discrete and continuous signal program, more comprehensive, can run perfectly)

Lempel_Ziv信源编解码 含测试数据(Lempel_Ziv_Coder/Decoder test_data included)