AN1857_2

基本的数字实验，利用MATLAB实现，有具体说明，还有源程序。(The number of basic experiments, the use of MATLAB to achieve, there are specific, as well as source code.)

说明：  使用matlab实现信息瓶颈中的aIB算法源程序(Matlab implementation using information bottleneck algorithm source code in aIB)

finding global minimum of a function with SA algorithm

现代信号处理最后一次大作业，模糊函数的实现并画出3D图(The last time a large modern signal processing operations, the realization of the ambiguity function and draw 3D map)

matlab simulink model

《MATLAB7.x数字信号处理》源代码。本书面向信号处理领域，在简要介绍信号处理基本概念的基础上，详细介绍了MATLAB工具箱函数及其使用，内容涵盖了MATLAB使用基础、高级编程和重要领域的应用。在结构安排上，本书立足于信号处理各个具体领域，并结合信息处理工具箱，以大量的程序访真为依托，讲解了MATLAB在信号处理中的具体应用。 本书结构合理，内容全面，图文并茂，实例丰富，适用面广，适合信号处理、自动控制、机械电子、自动化、电力电气、通信工程等专业的本科生、研究生、教师和科技工作者阅读。可作为数学信号处理课程的参考书，对涉及数字信号处理的各大院校师生具有重要的参考价值和实用价值。("MATLAB7.x digital signal processing" source code. Writing to the field of signal processing, signal processing briefly introduced the basic concepts on the basis of Details on MATLAB toolbox function and its use, which covers the use of MATLAB basis, Advanced Programming and important fields. Structural arrangements, the book based on the signal processing specific areas, and integrate information processing toolbox a large number of the procedures for the visit to really rely on the MATLAB on signal processing in the specific application. The structure reasonable, comprehensive and illustrated examples of rich, widespread applicability, suitable for signal processing, automatic control, machinery and electronics, automation, electrical power, telecommunications and other profes)

SLIB is a portable library for the programming language Scheme.

数字视频技术的实验,关于穷尽块匹配算法的matlab程序及实验报告(Digital video technology experiments, exhaustive block matching algorithm matlab procedures and lab report)

基于神经网络观测器的单关节机械手反演控制。将估计速度代替实际速度，可实现无需实际速度信号检测的控制(Single-joint robot based on neural network observer inversion control. Instead of the actual speed of the estimated velocity can be achieved without the control of the actual speed signal detection)

高斯混合模型参数估计,EM算法,sunMOG.m为函数,testMOG4.m为测试程序(Gaussian mixture model parameter estimation, EM algorithm, sunMOG.m for the function, testMOG4.m for the test procedure)