AWGN_Channel_BCH_8DPSK

实现视频读取小程序，是用MATLAB编写的。(Video applet to read and is prepared to use MATLAB.)

matlab中常用的关键字，以及常用的函数(Matlab in common use in the words, and common functions)

我确实认为这个程序还是非常实用的，对大家肯定很有帮助。(I really think this procedure is still very useful, the U.S. certainly helpful.)

A310飞机的数学模型!能够完整的表现该飞机的气动模型！！！！！！！！(The math model of A310 aircraft!)

线性预测分析是最有效的语音分析技术之一，在语音编码、语音合成、语音识别和说话 人识别等语音处理领域中得到了广泛的应用。语音线性预测的基本思想是：一个语音信号的 抽样值可以用过去若干个取样值的线性组合来逼近。通过使实际语音抽样值与线性预测抽样 值的均方误差达到最小，可以确定唯一的一组线性预测系数。(Linear predictive analysis is one of the most effective voice analysis technology has been widely applied in the field of speech processing speech coding, speech synthesis, speech recognition and speaker recognition and the like. The basic idea of ​ ​ linear prediction of speech is: a voice signal sample values ​ ​ can be approximated by a linear combination of a plurality of sample values ​ ​ of the past. By making the actual speech sample mean square error of the value of the smallest linear prediction sample values, to determine a unique set of linear prediction coefficients.)

this is the leach protocol simulation in matlab of wireless sensor network

变步长的LMS自适应滤波算法matlab程序(Variable step size LMS adaptive filtering algorithm matlab program)

基于SVPWM的三电平逆变的matlab仿真，阐述了负荷预测的应用研究,车牌识别定位程序的部分功能，LCMV优化设计阵列处理信号，Matlab实现界面友好，欢迎大家下载学习，光纤陀螺输出误差的allan方差分析。( Based on SVPWM three-level inverter matlab simulation, It describes the application of load forecasting, Part of the license plate recognition locator feature, LCMV optimization design array signal processing, Matlab to achieve user-friendly, Welcome to download the study, allan FOG output error variance analysis.)

说明：  Turbo码的BCJR 算法 将通过观察离散无记忆信道(DMC) 中的M arkov 信源的接收序列, 经过计算, 给出每符号(状态) 最小 差错概率的符号(状态) 序列。(Turbo Codes BCJR algorithm by observing without discrete memory accesses (DMC), M arkov source reception sequence, calculated, given every sign (state), the smallest error probability of symbols (state) sequence.)

用matlab采集语音，信号加噪去噪，以及fft变换(With Matlab acquisition Voice, the signal plus noise denoising, and fft transform)