PatternClassificationSecondEdition

最小二乘支持向量机算法程序，可用于解决多类分类问题(Least squares support vector machine procedures that can be used to solve multi-class problem)

惯性导航系统精解算程序 -Inertial navigation system(Inertial navigation system calculation)

雷达系统MTI延迟对消器实现程序，对理解雷达动目标检测很有帮助(MTI radar system delay cancellation in implementation process, is of great help to understand the radar moving target detection )

DV-Hop定位算法的仿真与改进算法 可以输出定位结果图和误差统计图，有一些临时的统计输出代码不能直接用，要更新得到的数据(Simulation and improved algorithm of DV-Hop location algorithm)

Nonstationary Channel Estimation using a Kalman Tracking Filter 卡尔曼滤波算法的一个一个用，可用作 efk学习之用(Nonstationary Channel Estimation using a Kalman Tracking Filter Kalman filter algorithm one by one, and can be used as a learning efk)

现代图像处理技术及MATLAB实现 电子书 望大家共同进步！(Modern MATLAB image processing technology and we hope to achieve common progress of e-books!)

matlab遍历算法程序，对所有的元素都遍历一篇，已经验证可用(traversal algorithm matlab procedures, all the elements are traversed one has been used to verify)

说明：  程序使用说明： 1、软件应用平台：Matlab6.5或更高； 2、打开方法： 将文件所在目录设为工作目录，然后打开wavlet.fig,在noise提示框下输入噪声强度，在0-0.1之间（不能为零）。 然后点process按钮，就会显示实验结果，包括原图像，加噪图像，去噪图像的对比以及当前的psnr值。 wavlet.m是程序文件。 程序内容写在在程序的注释里。 阈值的更改没有实现可视化，在源程序中可以改。(Procedure for use: 1, Software Platform: Matlab6.5 or higher 2, open the way: the file directory set the working directory, then open the wavlet.fig, the noise boxes, enter the noise level, in the 0-0.1 between (not zero). Then process the button, it will show the experimental results, including the original image, noise image denoising image contrast and the current psnr value. wavlet.m is the program file. Program content in the program notes written inside. Threshold changes are not visualized in the source program can be changed.)

LDA的matlab实现，得出alpaha和beta的值(the procedure to implement Latent Dirichlet Allocation ,the end of this procedure is the value of alpha and beta.)

matlab环境下实现语音预处理 包括语谱图 倒谱系数 短时频谱的画图(voice pretreatment Matlab environment, including spectrogram drawing of the short-time spectral cepstral coefficients)