randpermut

Frame Difference in image processing

Matlab编程必备手册，包含编程格式规范，程序控制结构和实例，适用于初学者。(Matlab programming required manual contains programming format specification, program control structure and examples for beginners.)

这是一本很好的matlab教程，对matlab的学者有很大的帮助(this book shows the basis contents of matlab,it can help the man who study matlab.)

本程序为一个demo，采用SIFT将多张图片合成一张大图片，效果非常好。将多张图片中的对应点进行匹配，然后合成，同时进行校正。

Matlab GUI工具,支持一种简单直观的方法来比较聚类方法。(Outline COMPACT is a GUI Matlab tool that enables an easy and intuitive way to compare some clustering methods. COMPACT is a five-step wizard that envelops some basic Matlab clustering methods and introduces the Quantum clustering algorithm that was originally proposed by Prof. David Horn and Assaf Gottlieb (see The Method of Quantum Clustering, for more details). COMPACT provides a flexible and customizable interface for clustering data with high dimensionality. COMPACT allows both textual and graphical display for the clustering results. )

空时分组编码(STC)就是在空间域和时间域两维方向上对信号进行编码,是MIMO技术里面十分重要的一个环节。(Space-time block coding (STC) is in the space domain and time domain two-dimensional direction of the signal coding, MIMO technology, which is very important aspect.)

系统辨识1仿真程序,程序里面有matlab的源文件，可供下载！(xitongbianshifangzhenchengxu)

说明：  遗传算法的小程序，希望能够对大家有用处！(genetic algorithm for small procedures, we hope to be able to be useful!)

Dec 20, 2014 - ... it at the bottom): MIS10E_testbank_CH01.doc MIS10E_testbank_CH02.doc MIS10E_testbank_CH03.doc MIS10E_testbank_CH04.doc

近红外光谱分析中的BP模型建立过程，其中在原有BP神经网络模型的基础上自己编程加入了近红外模型验证系数的计算，如R-SquareC.R-SquareP,RMSEC,RMSEP,RSD等。并加入循环语句，设定区间程序可以自动运行并判断最佳隐含层结点数，最佳学习速率，动量因子，训练次数等，同时加入一个验证校正模型实例。(The process of BP model in near infrared spectrum analysis, including the original BP neural network model on the basis of their programming joined the nir model validation coefficient calculation, such as R- SquareC. R- SquareP, RMSEC, RMSEP, RSD, etc. And join the loop statement, set interval program can be run automatically and determine the best hidden layer nodes, the optimal learning rate, momentum factor, the number of training, etc. )