MATLAB GUI设计手写输入板

应用于车牌识别中图像增强部分的对比度增强部分！（试了，出的图像效果对比效果比较明显）(License Plate Recognition used in image enhancement part of the contrast enhancement part! (Tried out the effect of the image contrast more obvious))

说明：  IBR算法在图像匹配上的应用，我也在学习中(Image matching based on IBR)

说明：  帐篷映射图像 帐篷映射是非常实用的混沌系统 能产生随机序列(Tent mapping is a very practical chaotic system that can generate random sequences)

一个matlab编写的GPS基线解算程序

采用复倒谱域滤波的方法实现语音混响的去除。(Dereverberation by CEP method )

说明：  快衰落多输入多输出信道中，无信道状态信息的酉空时调制。属于信道发射和接收两端均无信道状态信息的非相干空时码。程序包含一个主程序和一个酉空时信号产生子程序，并给出误比特率。(Unitary space-time modulation without channel state information in fast fading MIMO channels. It belongs to the incoherent space-time code with no channel state information at both ends of the channel transmitting and receiving. The programs include a main program and a unitary space-time signal generation subroutine, and gives the bit error rate.)

k-means clustering algorithm using MATLAB

matlab Newton- Raphson power flow and 30bus systam data m file

CAPM代码，资本资产定价模型在Matlab中的实际应用。(Capital Asset Pricing Model with Missing Data)

This package contains functions that implement Principal Component Analysis (PCA) and its lesser known cousin, Independent Component Analysis (ICA). PCA and ICA are implemented as functions in this package, and multiple examples are included to demonstrate their use. In PCA, multi-dimensional data is projected onto the singular vectors corresponding to a few of its largest singular values. Such an operation effectively decomposes the input single into orthogonal components in the directions of largest variance in the data. As a result, PCA is often used in dimensionality reduction applications, where performing PCA yields a low-dimensional representation of data that can be reversed to closely reconstruct the original data. In ICA, multi-dimensional data is decomposed into components that are maximally independent in the negentropy sense. ICA differs from PCA in that the low-dimensional signals do not necessarily correspond to the directions