matlab_error

说明：  计算序列x=[3 0 2 1 3 4 6] 和y=[3 0 -2 1 -3]的线性卷积(Calculation sequence x = [3 0 2 1 3 4 6] and y = [3 0-2 1-3] the linear convolution)

This code simulates distance vector routing of communication networks

signal detection and estimation book barkat

％ OFDM系统的发送，通过多径衰落信道，接收，判决 ％ 信道使用jakes模型。 ％ 时间色散系数我使用[0.9, 0.8 , ....., ]，你们自己去修改。 ( OFDM system to send, through the multipath fading channel, receive, sentence channel using Jakes model. Dispersion coefficient of the time I used [0.9, 0.8, .....,], to amend your own.)

极点配置控制（PPC）（连续系统离散化）(Pole placement control (PPC) (continuous discrete))

增强型烟花算法matlab源代码！文章最初由杜振鑫发表，后来北大博士重新修改后发表，这是源代码(the cod of enhanced fireworks algorithm)

此文件为归一化LMS算法的matlab程序(normalized LMS)

自适应波束形成多种算法的matlab实现，算法类型：MVDR,LCEC,GSC,PCI,MWF,PCA-MVB,SC-MVB,EC(A variety of adaptive beamforming algorithm matlab implementation, the algorithm type: MVDR, LCEC, GSC, PCI, MWF, PCA-MVB, SC-MVB, EC)

基于matlab的FIR滤波器设计工具箱，及其使用说明。工具箱内具有超多优化工具：sdpt3/Sedumi等(FIR Filter Optimization Toolbox User s Guide Version 2.0)

说明：  主成分分析（PCA）的增量实施。 该算法在线更新每个变换系数矩阵新样本，而无需将所有样本保留在内存中。 在某种意义上，该算法在形式上等效于通常的批处理版本给定一个样本，将变换系数设置在末尾过程是相同的。 实时讨论了应用PCA的意义。(Incremental implementation of the principal component analysis (PCA). The algorithm updates the transformation coefficients matrix on-line for each new sample, without the need to keep all the samples in memory. The algorithm is formally equivalent to the usual batch version, in the sense that given a sample set the transformation coefficients at the end of the process are the same. The implications of applying the PCA in real time are discussed with the help of data analysis examples (a sample set is uploaded together with the examples))