Signal-processing

基于导频的ofdm系统的LS估计MMSE估计 (Pilot-based OFDM system, the LS estimate of the MMSE estimates)

SIMULATION OF AN QUARTER AUTOMOTIVE SUSPENSION

本程序输入一个矩阵及误差限，得出其几何均值分解，该算法广泛应用于通信系统中。(Input is a matrix and outputs its decomposition of geometric mean)

该程序实现了lms算法的仿真，便于学习信号处理的朋友理解该算法。(The program implements the lms algorithm simulation, easy to learn to understand the signal processing algorithm friends.)

模糊聚类分析的matlab程序，先将原矩阵标准化，再标定并生成模糊相似矩阵，最后生成动态分类图。(Matlab fuzzy clustering analysis program, the first of the original matrix standardized, re-calibration and generate fuzzy similarity matrix, and finally generate dynamic classification map.)

最好的MATLAB书，即可以作入门教材，又可以做实用手册。买的话贵了一点，现在出了7.0版，但是还是这本6.5版经典。个人认为最先出的书是有真知灼见的作者写的，后来的都是抄别人的。(the best book that can make introductory materials, can do practical manual. Buy the expensive, but now a version 7.0, or 6.5 version of this classic. Personally think that the first book is a vision of the author, were later copied by others.)

CHP 5 - Real-Time Digital Signal Processing: Implementations and Applications, Second Edition by Sen M. Kuo, Bob H. Lee & Wenshun Tian, ISBN 0470014954 - Real-Time Digital Signal Processing: Implementations and Applications, Second Edition by Sen M. Kuo, Bob H. Lee & Wenshun Tian, ISBN 0470014954(CHP 5- Real-Time Digital Signal Processing: Implementations and Applications, Second Edition by Sen M. Kuo, Bob H. Lee & Wenshun Tian, ISBN 0470014954- Real-Time Digital Signal Processing: Implementations and Applications, Second Edition by Sen M. Kuo, Bob H. Lee & Wenshun Tian, ISBN 0470014954)

觉得不错的几段模糊c均值程序，但需要改改(Paragraphs that good Fuzzy c-means procedure, but changed)

电子通信系统的建模与仿真 第4章 电子线路仿真试验 4.1 信号合并 4.2 微积分 4.3 触发器 4.4 分频器? 4.5 使能开关 4.6 编程开关 4.7 移位寄存器 4.8 整流电路 4.9 驻波演示 4.10 超外差式接收机(Electronic communications system modeling and simulation of electronic circuits Chapter 4 Simulation 4.1 Signal merger 4.2 Calculus 4.3 Trigger 4.4 prescaler enable ? 4.5 switch 4.7 switch 4.6 programming shift register 4.9 VSWR 4.8 Rectifier Circuit Demo Ultra 4.10 heterodyne receiver)

对两类样本，进行K均值分类，K为2，最后将两类样本用不同的形状标出(Two kinds of samples for K means classification, K 2, the last two samples will be marked with a different shape)