perceptron

Gaussian Processes for classification

利用小波分析来对其中找出其中信号的奇异点，并对进行分析。(Using wavelet analysis to figure out which of them singular point signal, and analysis.)

基于逻辑回归的多分类问题，可以实现至少三类数据的分类(Classification based on multiple logistic regression, classification can be achieved at least three types of data)

基于MATLAB的心电信号的分析与处理设计(Ecg signal analysis and processing design based on MATLAB)

huffman函数补充，现有的huffman缺少的huffmandict函数(huffman function complements existing huffman missing huffmandict function)

SVM典型三分类程序 自带数据特征 可完美运行(SVM classification program comes with three typical characteristics of the data can be perfect run)

利用Matlab求解Lang-Kobayashi方程(The use of Matlab in Lang-Kobayashi equation)

雷达杂波仿真程序，仿真雷达瑞利分布、高斯分布、K分布等(Radar clutter simulation program, simulation radar, Rayleigh distribution, Gauss distribution, K distribution, etc.)

程序实现了基于MATLAB的pi/4 QPSK的仿真,系统在相同条件下，对加噪声和没有噪声的情况，分别画出了它的眼图分析其性能，及已调制信号的时域波形和频谱。(The program realizes the simulation of pi/4 QPSK based on MATLAB. Under the same condition, the system draws its eye diagram to analyze the performance of the noise and no noise, and the time domain waveform and spectrum of the modulated signal .)

The Matching Pursuit ToolKit provides a fast implementation of the Matching Pursuit algorithm for the sparse decomposition of audio signals. It comprises a library, some standalone utilities and some scripts to plot the results under Matlab.