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多变量高斯过程样本的产生，用matlab编写的(Multivariate Gaussian process for selecting the samples, prepared using matlab)

基于matlab 的贝叶斯算法，分类结果显示比较准确(Matlab-based Bayesian algorithm, more accurate classification results)

adaboost工具箱,可以运行，初学者过来看看。(adaboost toolbox, you can run, beginners come to see.)

grid connected power system

说明：  在二值化前,将像素与阈值的误差扩散到周围像素上,提高图像的二值化质量(value of the two former, and pixel threshold value of the error spread to the surrounding pixels, and improve the image quality of two values)

说明：  程序使用说明 1、所有仿真算法按章归类，文件中的程序名与书中一一对应。 2、将仿真程序复制到硬盘MATLAB运行的路径中，便可仿真运行。 3、本书算法在MATLAB 5.3版下运行成功，并适用于其他版本。 4、程序chap1_11.mdl；chap3_2.mdl；chap3_5.mdl；chap6_2.mdl；chap6_4.mdl需要在Matlab6.5下运行，特此说明。 5、假如您对仿真程序有疑问，请及时通过 E-mail 与作者联系。 北京航空航天大学 刘金琨 E-mail 地址： ljk@dept3.buaa.edu.cn或ljk@buaa.edu.cn(Program instructions 1 All simulation algorithms are classified by chapter, and the program name in the file corresponds to that in the book one by one. 2 Copy the simulation program to the Matlab running path of the hard disk, then the simulation can run. 3 The book algorithm in Matlab version 5.3 run successfully, and suitable for other versions. 4 Program chap1.11.mdl; chap3.2.mdl; chap3.5.mdl; chap6.2.mdl; chap6.4. MDL needs to run under MATLAB6.5. 5 If you have any questions about the simulation program, please contact the author by e-mail.)

Learn Matlab - Laboratory

理解随机信号功率谱分析原理和方法。 (1) 生成信号，被淹没在在噪声中； (2) 试用周期图法估计信号的功率谱； (3) 选用不同窗，使用修正周期图法估计信号的功率谱； (4) 对一段语音信号，使用LD算法估计其功率谱； (5) 详细列出功率谱估计的步骤和原理。 (understanding of random signal power spectrum analysis principles and methods. (1) generate signals being drowned in the noise; (2) The probationary period plan estimates the signal power spectrum; (3), different windows, the use of map amendment cycle method to estimate the power spectrum signal; (4) a voice signal, the use of LD algorithm to estimate the gong spectrum; (5) a detailed breakdown of the power spectrum estimation steps and principle.)

实现16ＱＡＭ的软解调，输出软度量值。 并附上参考文献。(To achieve the soft demodulation 16QAM)

基于格网的空间聚类算法STING，附含实例(STING Algorithm)