tu_plot

说明：  《MATLAB图形技术——绘图及图形用户接口》西北工业大学出版社，1999年版，周明等编著。介绍了matlab绘图方法和图形对象的特性及图形用户接口的设计技术。(MATLAB graphics- drawing and graphical user interface, Northwest Industry University Press, 1999 edition, Zhou Ming, eds. Introduced matlab drawing method and graphic object properties and the graphical user interface design.)

MATLAB 下的数字信号处理实现示例 附录一 信号、系统和系统响应 1、理想采样信号序列 （1）首先产生信号 x(n),0<=n<=50 (MATLAB under the realization of digital signal processing examples in Appendix 1 signal, systems and systems to respond to one, the ideal sampling signal sequence (1) First of all, have a signal x (n), 0 )

this is a code for analytically showing energy consumption degradation with network coding in wireless sensor networks

用matlab gui编写的通过按钮获取编辑框中的数据，并在静态文本框中显示。(Prepared by using matlab gui button for edit box of the data and display the static text box.)

基于Matlab的一MMSE的噪声PSD的执行跟踪的语音增强算法。这个包是一所描述的算法实现在“基于MMSE的低噪声PSD的跟踪与复杂性”，由理查德亨德里克斯，理查德Heusdens和Jesper詹森，IEEE国际会议声学，语音和信号处理，03/2010，达拉斯，德克萨斯州，p.4266 - 4269，（2010年）。 该算法具有较低的复杂性，但能够准确地估计非平稳的延迟相当低噪声PSD的跟踪噪声。(Matlab implementation of an MMSE based noise PSD tracking algorithm for speech enhancement. This package is an implementation of the algorithm described in "MMSE BASED NOISE PSD TRACKING WITH LOW COMPLEXITY", by Richard C. Hendriks, Richard Heusdens and Jesper Jensen, IEEE International Conference on Acoustics, Speech and Signal Processing, 03/2010, Dallas, TX, p.4266-4269, (2010). The algorithm has rather low complexity, but is able to accurately estimate the noise PSD for non-stationary noise with rather low tracking delay. )

matlab教程PPT，初学者课一看一下(matlab tutorial PPT, a look at the beginners class )

《Matlab7.x系统建模与仿真光盘内容》源码，人民邮电出版社06年出版，学习simulink很好的例子( Matlab7.x System Modeling and Simulation CD-ROM content source, Posts )

AR模型，用伯格法求谱估计曲线，算法简单实用(AR model method using Burg spectral estimation curve, the algorithm is simple and practical)

STBC MIMO 通信的代码，模拟了不同SNR下的BER。代码中，有注释说明(STBC MIMO communication code to simulate the BER in the SNR. Code, there are explanatory notes)

对手势图像进行彩色图像和灰度图像转变，同时对RGB图像进行加噪声和滤噪处理(a hand guesture of RGB picture change into gray,and add into noise then filter the picture)