Ear-Recognition-System-Package

一个自己编写的matlab程序，仅供大家学习参考(PLL I have written an example, we learn for reference purposes only)

capon波束形成器的波达方向估计仿真，包括直角坐标、极坐标及加权后的波达方向(capon beamformer DOA estimation simulation, including the rectangular coordinates, polar coordinates and the weighted DOA)

蒙特卡罗分析，动态显示圆的生成，计算pi(Monte Carlo analysis, dynamic display circle generation, calculating pi)

展示了线性、DFE、MLSE均衡器的信噪比性能，并通过蒙特卡罗模拟信道估计结果确定。(This demo shows the BER performance of linear, decision feedback (DFE), and maximum likelihood sequence estimation (MLSE) equalizers when operating in a static channel with a deep null. The MLSE equalizer is invoked first with perfect channel knowledge, then with an imperfect, although straightforward, channel estimation algorithm. The BER results are determined through Monte Carlo simulation. The demo shows how to use these equalizers seamlessly across multiple blocks of data, where equalizer state must be maintained between data blocks. )

利用周期图法对序列的功率谱进行估计。数据窗采用汉明窗。假设在白噪声中分辨这三个不同频率的正弦信号,其相位是均匀分布在2PI的独立随机变量,而 是一个单位白噪声.生成50个长度为N=512的 的样本序列集合。 (use map cycle sequencing method of the power spectrum estimation. Data window using Hamming window. Assume that the white noise to differentiate between the three different frequency sinusoidal signal, its phase is uniformly distributed in the PI two independent random variables. but a flat white noise. Generating 50 length N = 512 samples of the sequence set.)

This is set of codes for wireless telcommuniaction for who study wirless

说明：  qpsk调制在awgn/rayleigh信道下的误码性能比较，以及信号的功率谱和星座图(QPSK modulation in awgn/Rayleigh Channel Performance Comparison of error, and the signal power spectrum and constellation)

自己建的一个模型，给大家参考,希望对大家有用。(A matlab model )

这个例子将产生并显示pi/2 DQFSK系统中的一些重要信号，仿真这个系统并产生图形输出的MATLAB程序在文件夹中给出。在MATLAB的命令提示符下输入程序名c8-pi4derno后，会绷现一个菜单，用户可通过这个菜单选择以下七个选项中的一个（产生一个图形后，击空格键会显示菜单以便作另一个选择） 1.滤波前的pi/4 DQPSK信号星座图 2.滤波前的pi/4 DQPSK眼图- 3.滤波后的pi/4 DQPSK信号星座图 4.滤波后的pi/4 DQPSK眼图 5.滤波前的同相和正交信号 6.滤波后的同相和正交信号 7.退出程序(返回MATLAB命令提示符) 读者应该仔细研究文件夹中的内容，因为它阐明了很多常见的后处理过程，而且，产生各种图形的代码可用于其他仿真程序的后处理器。 (It is very difficult to describe the MATLAB procedure in english.)

介绍了用MATLAB模糊逻辑工具箱设计模糊控制器，并用SIMULINK仿真的一般方法。(MATLAB FUZZY )