K-mean-clustering

小波融合程序，MATLAB下拥有较好的融合效果！(Wavelet fusion procedures, MATLAB has a better integration of results!)

matlab code for LBM d2q9

说明：  The back lifting discrete wavelet transform using the 9-7 Antonini filters

matlab code for image retrieval

matlab读取数据文件，进行fft，再写入数据文件，最后比较变化。(matlab to read data files for fft, and then write the data file, and finally compare changes.)

IDL语言的基础学习案例编程，便于初学者掌握； matlab语言的基础学习案例编程，便于初学者掌握；GIS开发技巧及实例；GEODATABASE教程，便与初学者学习，循序渐进了解GEODATABASE(IDL programming language based learning cases, easy for beginners to master matlab programming language based learning cases, easy for beginners to master GIS development skills and examples GEODATABASE tutorials, and beginners will learn, step by step to understand GEODATABASE)

This code was used for making the practical measurements in section 2.3 of my thesis. This Matlab code allows an OFDM signal to be generated based on an input data file. The data can be random data, a grey scale image, a wave file, or any type of file. The generated OFDM signal is stored as a windows wave file, allowing it to be viewed, listened to and manipulated in other programs. The modified wave file can then be decoded by the receiver software to extract the original data. This code was developed for the experiments that I performed in my honours thesis, and thus has not been fully debugged. This is the original code developed for the thesis and so has several problems with it. The BER performance given by the simulations is infact Symbol Error Rate. (This code was used for making the practical measurements in section 2.3 of my thesis. This M atlab code allows an OFDM signal to be generated based on an input data file. The data can be rando m data, a gray scale image, a wave file, or any type of file. The OFDM signal is generated stored as a windows wave file, allowing it to be viewed. listened to and manipulated in other programs. The modified wave file can then be decoded by the receiver software to extract the original data . This code was developed for the experiments th at I performed in my honors thesis, and thus has not been fully debugged. This is the original code developed for the thesis and so ha 's several problems with it. The BER performance given by the simulations is infact Symbol Error Rate.)

浓密机模型 自己编写的浓密机。m文件，希望能帮助你 谢谢(Thickener model by myself。Thickener model by myself.Hope to help you,and good luck.)

GLVQ neural network, this method is suitable for the two classification results of data processing

推算表,还没有写完,下面没有了思路了,我会继续写完他的.(Projection table, has not yet finished, the following no idea, and I will continue to finish him.)