matlabLanguage

MATLAB5.0精要编程及高级应用，机械工业出版社(MATLAB5.0 Essentials programming and advanced applications, Mechanical Industry Press)

说明：  这是遗传算法和偏最小二乘法的共同使用做回归,非常好的程序(This is a genetic algorithm and partial least squares regression to do the common use, very good procedures)

This is the program to build image pyramid and then we can decompose it in to the different layers.

a gui for bezier curve for n points

mfcc 的matlab的实现，此方法在matlab上运行成功(mfcc the matlab realization this method successfully run in matlab)

ADHOC networks introduced a AODV protocol comparison article, including source code and performance analysis,

基于matlab的DLA分形模拟，包含DLA程序，分形的意义等等(Based on matlab platform of the DLA fractal simulation，Procedures include the DLA，The significance of Fractal and so on.)

说明：  最小均方濾波器是一類可通過最小化誤差訊號之均方值而修正濾波器係數，以類比所需理想濾波器的自適應濾波器，其中作為修正依據的誤差訊號為理想參考訊號與實際輸出訊號之差。該種濾波器所用之最小均方法只以當前之訊號誤差值為準進行修正，是一種隨機梯度下降法。最小均方法係由斯坦福大學的Bernard Widrow教授及他的首位博士班學生Marcian Hoff於1960年提出。最小均方濾波器屬於常見的自適應濾波器種類之一。(The minimum mean square filter is an adaptive filter that can correct the filter coefficients by minimizing the mean square value of the error signal to analogize the desired ideal filter. The error signal used as the correction reference is the ideal reference signal and the actual output. The difference between the signals. The minimum averaging method used in this kind of filter is only corrected based on the current signal error value, which is a stochastic gradient descent method. The minimum mean method was proposed in 1960 by Professor Bernard Widrow of Stanford University and his first PhD student, Marcian Hoff. The least mean square filter is one of the common types of adaptive filters.)

数字信号处理中的语音信号处理，针对语音信号中的噪声，设计不同的滤波器滤除噪声。(Digital signal processing, the speech signal processing in speech signal noise in the filter designed different filter noise. )

结构的时域结果转成频域结果的有效程序，对于试验数据可以有效处理(The results of the time-domain structure transformed into the frequency domain result of effective procedures for test data can be effectively addressed)