mpeg4jiema

Principal Components Analysis (PCA) is used to compress data in such a way that the least information is lost. It does so by truncating data and thereby leaving out the data which is of the least importance to the information stored in the data. This PCA process is called dimensionality reduction,

说明：  Matlab教程第11章，编成与案例教学(Matlab Guide Chapter 11, compiled and Case Teaching)

可以产生混合高斯信号信号的函数。自己可以调节混合信号的峭度。(Can produce mixed-Gaussian signal function. You can adjust the mixed signal kurtosis.)

an example for kalman filter is brought here.

matlab noaa海洋数据 分析各个海区的温度 用matlab做任意经纬度不同深度的切片 例子是东海PN断面(The various sea temperature matlab noaa ocean data analysis using matlab do any different latitude and longitude depth slices examples PN section in the East China Sea)

高斯平滑滤波，属于低通滤波，有效去除图像噪声。(Gaussian smoothing filter, a low pass filter effectively removes image noise.)

《MATLAB高效编程技巧与应用：25个案例分析》,很好的matlab学习资料("MATLAB efficient programming techniques and applications: 25 Case Studies" good matlab learning materials)

说明：  基于粒子群优化算法的模糊c聚类源码，matlab类型(Fuzzy c-cluster source code based on particle swarm optimization algorithm, matlab type)

feature selection for svm classification

m=8时双极性八电平可调 信噪比 差错估计(m = 8 时 bipolar eight-level adjustable noise ratio error estimated)