roots-by-gauss-siedel

切比雪夫低通原型滤波器的设计元件值的提取和耦合系数的计算。并且给出S21和S11的响应曲线图(Chebyshev low-pass extraction and coupling coefficients calculated prototype filter design element values. S21 and S11, and gives the response graph)

基于matlab的车牌识别，GUI图像显示，简洁明了，识别过程用的是模板匹配，文件齐全。(License plate recognition matlab-based GUI image display, concise, the identification process is the template matching, the file is complete.)

有借鉴意义哦，用MATLAB实现的压缩传感，空间目标识别，采用PM算法。( There are reference Oh, Using MATLAB compressed sensing, Space target recognition algorithm using PM.)

用自相关函数的方法获得语音信号的基频，来识别男女(Baseband, using the autocorrelation function method to obtain a voice signal to identify sexes)

MATLAB实现感知器操作，用于智能优化实验(MATLAB realization of sensor operation, intelligent optimization experiments for)

该程序用Matlab实现hilbert-huang变换，含EMD，HHT，边际谱等，有一些实例，较完善。(The program uses Matlab to achieve hilbert-huang transform, including EMD, HHT, the marginal spectra, there are some instances better.)

Simulink通信系统建模一书中的IS95前向链路系统仿真MATLAB源程序，包括word文档介绍，是非常好的通信系统仿真的学习参考资料(The book Communication Systems Simulink model of IS95 system simulation prior to the MATLAB source code link, including the word document describes, is a very good communication system simulation study reference)

这个程序用来模拟windows计算器,为薜定宇老师<<科学运算语言MATLAB5.3程序设计与应用>>的习题而做(It is suitable for beginners to master matlab deep into the second developed a good teaching examples of great reference value)

说明：  机器视觉啊；想下个东西哈哈哈哈哈哈哈哈哈(machine vision ,Think of the next thing)

对噪声信号中的正弦信号，通过Pisarenko谐波分解方法、Music算法和Esprit算法进行频率估计，信号源是： 其中， ， ， ； 是高斯白噪声，方差为 。使用128个数据样本进行估计。 1、用三种算法进行频率估计，独立运行20次，记录各个方法的估计值，计算均值和方差； 2、增加噪声功率，观察和分析各种方法的性能。(Sinusoidal signal in the noise signal through the Pisarenko harmonic decomposition method, Music algorithms and Esprit frequency estimation algorithm, the signal source is: where,,, a Gaussian white noise, variance. 128 data samples used to estimate. 1, with three kinds of frequency estimation algorithm, run independently 20 times, record the estimated value of each method to calculate the mean and variance 2, the increase in noise power, observation and analysis of the performance of various methods.)