matlab-CommunicateSimulation

文件中包含了杨大成《移动传播环境》中7.2.1.2小节的利用等面积法（MEA）实现经典功率谱的功率谱密度，自相关函数，自相关函数均方差。希望能帮助你们。(File contains POSTS " mobile communication environment" in section 7.2.1.2 the use of equal-area method (MEA) to achieve the classic power spectrum of the power spectral density, autocorrelation function, autocorrelation function of MSE. Hope you have help, I will continue to post updates more results.)

A dynamic estimation of channel is necessary before the transmission of the signals since the wireless channel is time–varying..we use MMSE method for channel estimation. The MMSE method calculates the following, MMSE channel estimator is designed to minimize the estimation MSE. The MMSE estimate the channel responses.

说明：  matlab的petri网工具包，可以在matlab7.0上运行的指导性书籍 包括完整的流程介绍 (The petri net matlab toolkit, you can run matlab7.0 guide book includes a complete process description)

1 瑞利分布实现程序 2 瑞利分布＋杂波 3 相关对数正态分布杂波 4 相关weibull分布杂波 5 相干相关K分布杂波 (1 Rayleigh distribution to achieve program 2 Rayleigh distribution+ Clutter 3 Related lognormal clutter 4 related weibull distribution clutter 5 coherent K distributed clutter)

常规潮流计算，采用牛拉法、直角坐标系，并有IEEE6、14、30、57、118、300节点数据和计算结果(Conventional flow calculation, using cow Rafah, Cartesian coordinates, and IEEE6, 14,30,57,118,300 node data and calculated results)

几种时延估计算法，包括广义相关法，二次相关法，循环谱相干法等(Time delay estimation of cyclic cross-correlation method, based on steady signal cycle characteristics of several time delay estimation algorithms, including the generalized correlation method, quadratic correlation method, cyclic spectral correlation method, etc)

matlab制作的小软件各种功能展示。。有镜像的垂直，水平，fft变换等(matlab software produced by a small display of various functions. . A mirror of vertical, horizontal, fft transform)

语音识别技术的最终目标是要让计算机能与人自由交谈。目前，连续语音识别技术正趋于成熟，语音识别也延伸出了诸多实用化的研究方向。今后，语音识别的重点将集中在自然话语识别与理解、实时语音识别和语音识别鲁棒性等方面。作为一门交叉学科，语音识别所涉及到的技术有信号处理、模式识别、概率论和信息论、发声机理、听觉机理和人工智能等。(The ultimate goal of speech recognition technology is to make computers and allowing others to speak freely. At present, continuous speech recognition technology is maturing, voice recognition is also extended out a lot of practical research directions. In the future, speech recognition will focus on Spontaneous Speech Recognition and Understanding, real-time speech recognition and speech recognition robustness and so on. As an interdisciplinary subject, speech recognition technology involved in a signal processing, pattern recognition, probability theory and information theory, vocal mechanism, hearing mechanism and artificial intelligence.)

接收信号为加噪声的QPSK信号，通过球的维纳解，实现系统辨识，达到滤波的目的。(Received signal is the QPSK signal plus noise, the Wiener solution through the ball, to achieve system identification, to achieve the purpose of filtering.)

此程序是关于阵列信号处理中的最佳波束扫描，程序简单易懂，便于我们理解理论知识。(The program is about array signal processing the best of the beam scanning, and the program is easy, and for us to understand the theory of knowledge. )