mfcc

实现电子琴功能,是一个GUI界面，学生做毕业设计的入门参考 (digital piano)

matlab中正态分布曲线的产生以及正态分布样本经验分布曲线 EDF 和 分布函数曲线CDF 曲线的对比(matlab in the production and the normal distribution curve normal distribution curve for Empirical distribution function curve of EDF and CDF curve comparison)

该程序是一纯滞后系统的大林控制算法，是一种不同于常规PID控制规律的新型算法。其控制效果大大优于普通PID控制算法。(that the procedure was a pure delay system Dalin control algorithm, Unlike a conventional PID control algorithm for the new law. Its effectiveness is significantly better than ordinary PID control algorithm.)

1.Matlab code for periodic signal 2.Matlab code for sampling and recunstruciton

Breiman的bagging算法，是bootstrap aggregating的缩写，是最早的Ensemble算法之一，它也是最直接容易实现，又有着另人惊讶的好效果的算法之一。(Breiman’s bagging, short for bootstrap aggregating, is one of the earliest ensemble based algorithms.)

数模用的时间序列模型，要用matlab编程(Model with time-series model, using matlab programming)

spin of rotating body at mach more than 5

It is a program for Maximum likelihood equalization for space time block codes in MIMO systems

Wavelet Transforms and JPEG2000

Principal component analysis (PCA) is a popular tool for linear dimensionality reduction and feature extraction. Kernel PCA is the nonlinear form of PCA, which is promising in exposing the more complicated correlation between original high-dimensional features. In this paper, we first talk about the basic ideas of PCA and kernel PCA, and then focus on the reconstruction of pre-images for kernel PCA. We also give an introduction on how PCA is used in active shape models (ASMs), and discuss how kernel PCA can be applied to improve traditional ASMs. Then we show some experiment results to compare the performance of kernel PCA and traditional PCA for pattern classification. We also implement the kernel PCA-based ASMs, and use it to construct human face models.