chilun

金字塔算法，高斯分解的MATLAB算法源码(gaussian decomposion)

此为用MATLAB语言写的基于KPCA、PCA算法的人脸检测程序，对于对比学习KPCA和PCA有很大帮助(This is the face detection program which is written by matlab , and it will help you a lot to learn the difference between KPCA and PCA)

移动通信信道建模与仿真 1．验证实验原理中所述的相关程序，CLARK, Jakes(Rayleigh.m) 信道模型。 2．验证QPSK调制信号经根升余弦滚降成形滤波之后在瑞利衰落信道下系统误比特和误符号性能，实现参考程序ex11main.m，ex11.mdl。(Modeling and Simulation of mobile communication channel)

说明：  字母识别源程序,能够对26个字母进行识别，并以A为例做识别演示(source identification letters to the 26 letters identification, and as an example to do a demonstration Recognition)

总体平均经验模态分解适合于分析非线性、非平稳信号序列，具有很高的信噪比。(The overall average empirical mode decomposition process)

独立成分分析（Independent Component Analysis, ICA）是近年来发展起来的一种有效的盲分离技术，最早是由法国学者Herault和Jutten于1986年提出。ICA方法的提出最初是用来解决“鸡尾酒会”问题，其过程可以归纳为，在源信号与传输通道参数均未知的情况下，仅根据源信号的统计特性，出现测信号恢复出源信号。ICA分析的关键在于根据一定的优化准则建立描述输出信号独立程度的优化判据，即目标函数，并设计相应的优化算法，寻求最优的分离矩阵，使得输出信号中各分量尽可能相互独立。采用ICA方法对信号进行盲分离时，可避免过多地受大能量噪声成分的影响，将部分小能量信号源识别出来。随着ICA技术的不断发展，目前ICA技术已经广泛应用于语音增强、音频识别、通信、医学信号处理、金融数据挖掘、图像消噪、数字水印、遥感等领域，并取得了一定的研究成果。(Independent Component Analysis (ICA) Component ini order, developed in recent years is a kind of effective separation technology, originally from French scholars Herault and Jutten in 1986. The proposed method is initially ICA to solve the "cocktail" problem, the process can be divided into, in the source signal transmission channels and in the case of unknown parameters according to the source of the signals, and the statistical characteristics of recovering the source signal. According to the analysis of the ICA key lies in the establishment of optimal criteria described the output signal of the independent, objective function optimization criterion, and the corresponding optimization algorithm, the optimum )

利用DCT变换进行图像压缩的小程序，也是我的第一个matlab程序(For image compression using DCT transform a small program, but also my first one matlab program)

this code is represented using canny algorithm in matlab

ALOHA算法的仿真，对于算法的过程用mutlab进行了仿真(Frame slot ALOHA algorithm simulation)

matlab在系统辨识中的应用此处为递推的极大似然法应用的源代码及运行后结果（包括图像）(Matlab system identification in the application of recursive here Maximum Likelihood of the application's source code and running after the results (including images))