differentcalsiificationpalying

说明：  两个个简单的matlab程序，分别是在空间域的高通与低通滤波器(Matlab two simple procedures, respectively, in the space domain and low pass filter high-pass)

LEACH (Low-Energy Adaptive Clustering Hierarchy) SEP

matlab源程序 比较直传，AF，DF的误码率仿真 比较理论误码率和直传误码率仿真曲线图 适合初学者阅读(matlab source code comparison forward pass, AF, DF bit error rate BER simulation and comparison theory forward pass BER curves for beginners to read)

MIMO Othogonal Frequency Division Modulation

matlab codes DVS-H matlab 2010a

以MATLAB软件为工具，在GUI图形用户界面下针对不同特点的语音信号进行八种不同模式的滤波处理的语音信号处理系统，涉及基于巴特沃思滤波器的IIR滤波器和汉明窗设计的FIR滤波器，能够实现语音文件的打开及自定义路径的存储功能，同时可以实现语音信号加噪和音频倒放功能。(The source code, by means of MATLAB, under the Graphical User Interface, achieves a kind of speech signal processing system with eight different modes of speech signal filters working according to different characteristics of speech signal. The system involves IIR filter based on Butterworth analog filter and FIR filter based on Hamming Window, is able to open and save audio files in the user-defined place and realizes functions of noise addition and audio back-play.)

RT（快速扩展随机树）是一种基于采样的算法求解路径规划问题。RRT提供可行的解如果时间RRT趋于无穷大。 RRT *是一个基于采样的算法为解决运动规划问题，这是一个概率最优变异性。RRT *收敛到最优解的渐近。 RRT * FN是一个基于采样的算法基于RRT *。RRT * FN内在渐近收敛到最优解，然而RRT * FN实现使用更少的内存(RRT (Rapidly-Exploring Random Tree) is a sampling-based algorithm for solving path planning problem. RRT provides feasable solution if time of RRT tends to infinity. RRT* is a sampling-based algorithm for solving motion planning problem, which is an probabilistically optimal variant of RRT. RRT* converges to the optimal solution asymptotically. RRT*FN is a sampling-based algorithm based on RRT*. RRT*FN inherents asymptotical convergence to the optimal solution, however RRT*FN implements it using less memory.)

说明：  简单的视频水印嵌入算法 matlab开发。(simple video watermarking algorithm developed Matlab.)

三自由度平台控制系统，正向解算和反向解算的子系统框图(The three DOF platform control system, forward and reverse solution counted solver subsystem block diagram)

Deblurring Images - Matrices, Spectra, and Filtering