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Simulation of an AR-GJR process

语音识别中建立语音模板的方法其中包含matlab代码。(Speech recognition method to establish a voice template contains matlab code.)

It generates a 2dbreast phantom

支持向量机，实现2或多分类，基于matlab仿真，内有说明(ex6.m- Octave script for the rst half of the exercise ex6data1.mat- Example Dataset 1 ex6data2.mat- Example Dataset 2 ex6data3.mat- Example Dataset 3 svmTrain.m- SVM rraining function svmPredict.m- SVM prediction function plotData.m- Plot 2D data visualizeBoundaryLinear.m- Plot linear boundary visualizeBoundary.m- Plot non-linear boundary linearKernel.m- Linear kernel for SVM [?] gaussianKernel.m- Gaussian kernel for SVM [?] dataset3Params.m- Parameters to use for Dataset 3 ex6 spam.m- Octave script for the second half of the exercise spamTrain.mat- Spam training set 1 spamTest.mat- Spam test set emailSample1.txt- Sample email 1 emailSample2.txt- Sample email 2 spamSample1.txt- Sample spam 1 spamSample2.txt- Sample spam 2 vocab.txt- Vocabulary list getVocabList.m- Load vocabulary list porterStemmer.m- Stemming function readFile.m- Reads a le into a character string submit.m- Submission script that sends your solutions to our servers submitWeb.m- Alternative s)

1. 识别同一个乐器弹奏出的不同音符（基波分析） 2. 识别弹奏出同一个音符的不同乐器（谐波分析）(1. identify the different notes played by the same instrument (fundamental analysis). 2. identify different musical instruments playing the same note (harmonic analysis).)

关于OFDMA的介绍，初学者很容易理解。且有本人阅读时做下的一些笔记，愿对大家有用。(On OFDMA in the introduction, it is easy for beginners to understand. I read and have done at some of the notes, would like for all of us.)

作业：Nomoto 数学模型 model on MATLAB(homework: Nomoto mathematical model on MATLAB)

说明：  微弱信号的提取检测和分析 用matlab实现的源代码 首先计算输入信号的均值、均方值、方差、频谱及功率谱密度，确定输入信号中包含着有用信号。然后提取有用信号，并要求计算提取信号的均值、均方值、方差、概率密度、频谱及功率谱密度，并画出曲线(The extraction of weak signal detection and analysis)

该代码实现TD-SCDMA的信道估计，有基于预存的midamble功能，是定点工程实现的仿真代码，与其他信道估计不同，功能完整。(The TD-SCDMA code channel estimation, a midamble based on pre-existing functions, is fixed-point implementation of the simulation code works, the different channel estimation and other functions intact.)

最大选择恒虚警检测——GO-CFAR检测器：包括对于无目标、仅有噪声的信号进行GO-CFAR检测的仿真，以及对于含目标、且在瑞利杂波背景下的GO算法仿真。一些程序主要是为了绘图，画出GO-CFAR检测过程中的信号波形以及检测门限对比图；而另一些程序是为了计算GO-CFAR检测过程中的检测概率和虚警概率。(GO-CFAR detectors: simulations of detection to signals with no target but noise only, as well as signals with target and the background of Rayleigh clutter. Some programs are aimed at giving pictures of the signals and detectiong threshold in the process of detection using GO-CFAR algorithm, while other programs are aimed at calculating the detecting rate and false alarm rate of GO-CFAR algorithm.)