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IIR filters are one of two primary types of digital filters used in Digital Signal Processing (DSP) applications (the other type being FIR). IIR means Infinite Impulse Response .

精通MATLAB 是北航的张志用写的电子书 介绍了MATLAB6.5的使用 (Proficient in MATLAB was written by Zhang Beihang' s book describes the use of MATLAB6.5)

用MATLAB编写的用BP网络完成函数的逼近源程序，希望有人用的上(MATLAB BP prepared by the network to be completed by the function approximation source, hoping that someone on the)

进行波束形成并画出图片，时域频域和DFT波束形成 (For the beam formation and draw pictures, DFT frequency domain and time domain beam-forming)

基于四阶累积量的MUSIC算法在DOA估计中的应用(FOURTH ORDER MUSIC ALOGRITHM DOA ESTIMATION BY FOURTH ORDER MUSIC)

<<控制系统计算机辅助设计--MATLAB语言与应用>>系统地介绍了国际控制界最流行的控制系统计算机辅助设计语言MATLAB，侧重于介绍MATLAB语言编程基础与技巧、数学问题的MATLAB求解、线性系统计算机辅助分析、控制系统与其他复杂系统的Simulink建模，控制系统的计算机辅助设计方法，包括串联控制器、状态反馈控制器、多变量系统频域设计、PID控制器设计、最优控制器设计、LQG/LTR控制器设计、H2=H1 最优控制、分数阶控制、自适应控制、模糊控制、神经网络控制、遗传算法优化控制等。本电子文档为其源码光盘内容，源码多多，利于学习参考。("" Control System for Computer-Aided Design- MATLAB language and application of "" a systematic introduction to the international control of world s most popular computer-aided control system design language MATLAB, introduced the MATLAB language programming focusing on the foundation and skills, the MATLAB mathematical problem solving, computer-aided analysis of linear systems, control systems and other complex systems Simulink modeling, control system, computer-aided design methods, including serial controller, state feedback controller, multi-variable system, frequency-domain design, PID controller design, optimal controller design, LQG/LTR controller design, H2 = H1 optimal control, fractional order control, adaptive control, fuzzy control, neural network control, genetic algorithm to optimize control. This electronic document its source code CD-ROM content, source code lot, conducive to learning for reference.)

说明：  跳频通信的matlab文件,对学习扩频通信有很大的帮助 (fhss introduction made in matlab)

MATLAB实现函数最值求解 蚁群算法MATLAB实现(MATLAB implementation solving the most value function to achieve colony algorithm based on MATLAB)

For using this code need to use signal toolbox and general toolbox in your matlab Inpainting using sparse regularization. Consider the pepper image with many missing pixels. Assume that the image is noisy-free. (a) Inpaint the image by using orthogonal wavelet sparsity. (b) Inpaint the image by using a different sparsity prior. Based on the outputs, it is clear that the inpainting result obtain by Sobolev is much better than other methods (i.e. Orthogonal wavelet sparsity and Invariant wavelet sparsity).

MATLAB绘图教程~PPT格式~介绍各种基本绘图命令(MATLAB graphics tutorial ~ ~ PPT format introduce basic drawing commands)