ERBFilterBank

matlab图像处理领域类的一种常用算法。对初学者有很大的帮助(matlab image processing class, a common algorithm. Very helpful for beginners)

编写一个含QAM传输的发送和接收模块 1)分别采用复基带仿真和实带通仿真两种形式 a) 实带通仿真时, 载波频率为符号率的4倍 b)发端采用滚降系数0.5的根号升余弦滤波器 2)画出Eb/N0=15dB时的接收波形(收滤波前),取100个采样 3)画出发端输出的眼图和收端过匹配滤波后的眼图(画眼图时不加噪声) 统计误符号率和误比特率与Eb/N0的关系,画出曲线, 与理论计算的曲线相对比 (Prepare to send of one with QAM transmission and receiver module 1), respectively, the complex baseband simulation and the real band-pass simulation in two forms a) the real band-pass simulation, the carrier frequency used for the symbol rate of 4 times b) the originator roll-off factor of 0.5 root raised cosine filter, 2) draw Eb/N0 = 15dB when the received waveform (closing filter), take 100 samples) to draw the originator of the output eye diagram and income side of the eye diagram after the matched filter ( draw the eye diagram without noise) statistics symbol error rate and bit error rate and Eb/N0, draw a curve calculated with the theoretical curve compared)

说明：  此模型中的撬棍不是使用IGBT或理想开关制造的。 通过 改变转子侧变流器的参考电压来模拟撬棍电路的切入和切出 。 该模型是使用MATLAB R2010a创建的。 控制策略是最常见的去耦 算法和MPPT(The crowbar in this model is not manufactured using IGBTs or ideal switches. by The reference voltage of the rotor-side converter is changed to simulate the cut-in and cut-out of the crowbar circuit. The model was created using MATLAB R2010a. Control strategy is the most common decoupling Algorithm and MPPT)

用于实现weighted k-means算法，可以运行(It is used to perform weighted k-means clustering)

说明：  介绍了一种新的变步长LMS自适应滤波算法。该算法具有较快的收敛速度和较小的失调，并且他不受已经存在的不相关噪声的干扰。(This paper introduces a new variable step size LMS adaptive filtering algorithm. That the algorithm has a faster convergence speed and a smaller offset, and he is not already in existence are not related to noise.)

阵列信号处理开发工具箱，值得下载学习用。(Array signal processing development kit, it is worth learning to use to download.)

Assistive technology

Matlab有关于天线结构设计的源代码分析，适用于RF的天线设计工程师(Matlab about the antenna structure design source code analysis for RF antenna design engineer)

MVAcltbern illustrates the (univariate) Central Limit Theorem (CLT). n*1000 sets of n-dimensional Bernoulli samples are generated and used to approximate the distribution of t = sqrt(n)*(mean(x)-mu)/sigma -> N(0,1). The estimated density (blue) of t is shown together with the standard normal (red).

汽车理论中汽车制动系统的matlab程序(Car theory matlab program Automotive Brake Systems)