Mur

利用matlab软件设计并仿真下面的无线通信系统。模拟信源为单音频信号。模拟调制方式为ASK。信道为多径信道（仿真中2径），信道中噪声为加性高斯白噪声。采用相干解调接收。画出了解调器输出端性能曲线与点信噪比SNR的关系。(Software design and simulation using matlab the following wireless communication systems. A single analog audio signal source. Analog modulation is ASK. Channel multi-path channel (simulation 2 diameter), channel noise is additive white Gaussian noise. The use of coherent demodulation receiver. Draw the output of the demodulation performance curve and the point of the relationship between signal to noise ratio SNR.)

基于小波变换的盲均衡算法，经过实验能成功实现(Blind equalization algorithm based on wavelet transform, after the experiment can be successfully)

使用matlab提供的bp网络工具实现手写数字识别。内涵大量测试用手写数字(Bp using matlab network tools available to achieve handwritten numeral recognition. Test a large number of handwritten digital content)

QAM_MODEM matlab代码(QAM_MODEM Matlab code)

Self organized map implementation in matlab

matlab code for sweep generation

matlab里面gui转成exe方法教程(the matlab gui turn inside into exe method tutorial)

现代通信系统使用MATLAB全+全部程序，提供了利用MATLAB的普及型学生版本在计算机上解决“现代通信系统”这门课程中涉及的几乎所有方面的问题的分析思路、方法、MATLAB脚本文件和处理结果的范例以及供学生自主学习研讨的习题。(Modern communication systems using MATLAB full+ entire program, providing a universal student using MATLAB version on a computer analysis of ideas to solve the " modern communication systems," this course involved in almost all aspects of the problem, methods, MATLAB script files and handling The results of examples and discussions for independent learning exercises.)

提供一个粒子群算法的实例代码，对于初学者和进一步开发者用很大的帮助(Provide a PSO algorithm code examples for beginners and more developers with great help)

说明：  通信信号的调制信息包含在信号的瞬时幅度、相位、频率的变化之中，不同的信号其频谱也呈现不同的特征，通过提取瞬时幅度、相位、频率以及频谱的参数统计特征，可以识别不同的通信信号。通常是利用对瞬时幅度、瞬时相位，瞬时频率和信号功率谱进行某种变换而得到可以明显区分各种信号的特征参数。(Communication signal modulation information is contained in the signal instantaneous amplitude, phase, frequency changes, the spectrum of different signals also show different characteristics, by extracting the instantaneous amplitude, phase, frequency and statistical characteristics of the parameters of the spectrum, you can identify different communication signals. Usually by the use of instantaneous amplitude, instantaneous phase, instantaneous frequency and signal power spectrum a transformation which can be clearly distinguished by the characteristic parameters of various signals.)