Clustered-rough-set

multi layer perceptron - MLP sample

该软件可以利用鼠标在模型窗口上绘制出所需要的控制系统模型。(The software can use the mouse in the model window to map out the necessary control system model.)

基于小波分析和支持向量机的语音激活检测 一种方法(Based on wavelet analysis and support vector machine voice activity detection)

这是一个里卡迪方程的简易对角线解法，有一定的现实意义，可以在matlab的计算里减少很大的计算量。十分好用(This is a simple solution Ricadi diagonal equation, there are certain practical significance, can reduce a large amount of computation in the calculation in matlab. Very easy to use)

Basics of Imperialist CompetitveAlgorithm-Global Optimization Strategy using matlab

《不适定问题的正则化方法及应用》pp.6例题1.2的Tikhonov正则化方法及迭代Tikhonov正则化方法程序包。(Tikhonov regularization method and iterative Tikhonov regularization method package for the book regularization method and applications of ill-posed problems pp.6 example 1.2. )

sift matching: System will automatically delete the directory of debug and release, so please do not put files on these two directory.

QPSK调制下的基于分数阶傅立叶变换的clipping 算法(The clipping method based on FRFT and QPSK.)

包含了使用matlab对声音信号进行时域和频域分析，加高斯噪声，并用高通、低通、带通滤波器进行滤波，并显示波形图。(Contains the sound signal using matlab time domain and frequency domain analysis, plus Gaussian noise, and high-pass, low pass, band pass filter to filter and display waveforms.)

盲源分离（BSS: Blind Source Separation），又称为盲信号分离，是指在信号的理论模型和源信号无法精确获知的情况下，如何从混迭信号（观测信号）中分离出各源信号的过程。盲源分离和盲辨识是盲信号处理的两大类型。盲源分离的目的是求得源信号的最佳估计，盲辨识的目的是求得传输通道混合矩阵。(Blind signal separation (BSS), also known as blind source separation, is the separation of a set of source signals from a set of mixed signals, without the aid of information (or with very little information) about the source signals or the mixing process. This problem is in general highly underdetermined, but useful solutions can be derived under a surprising variety of conditions. Much of the early literature in this field focuses on the separation of temporal signals such as audio. However, blind signal separation is now routinely performed on multidimensional data, such as images and tensors, which may involve no time dimension whatsoever.)