matlab_document

说明：  AR过程的线性建模与功率谱估计及教程、实例、实验等内容(The linear AR process modeling and power spectrum estimation and tutorials, examples, experiments, etc.)

学习matlab简单快速教程，适用于短期内掌握matlab核心数值编程(An introduction to Matlab Numerical Calculation)

bpsk编码实现双继通道的物理层网络编码(BPSK Coding dual step-channel physical layer network coding)

This file takes cropped yale face images file as input and performs classifications based on 1. Correlation 2. Eigen vector based classification (Eigen Face) 3. Fisher Linear Discriminator (FLD) (Fisher Face) The zip contains two files readyaledata.m to read the image database EigenFace-FisherFace.m to do classification as described above

说明：  支持向量机用于分类问题的演示程序，分线性与非线性两部分(support vector machines for the demonstration classification procedures, sub-linear and nonlinear part 2)

维格纳-威尔分布实用程序，仅供参考，用于学习交流(Wigner-Will Distribution)

这个是一个关于高斯键控的matlab程序源代码(This ducument is a matlab program about GMSK. Wish this will help you better understand DMSK,thanks!)

二维卡尔曼滤波，在X—Y平面上画出滤波后的值以及理想情况下的图像，通过比对，深入研究卡尔曼滤波的性质和意义(Second Kalman filter, the X-Y plane value and image ideally draw filtered through comparison, in-depth study of the nature and significance of the Kalman filter)

说明：  这是一款算法是哑奴，你可以集成到自己的demo里然后自己体验(This is an algorithmic dumb slave that you can integrate into your demo and experience for yourself.)

设计一维纳滤波器 (1)产生三组观测数据：首先根据s(n)=a s(n-1)+w(n)产生信号s(n)，将其加噪（信噪比分别为20dB,10 dB，6 dB），得到观测数据x1(n), x2(n), x31(n). (2)估计xi(n)，i=1,2,3的AR模型参数。假设信号长度为L，AR模型阶数为N，分析实验结果，并讨论改变L,N对实验结果的影响。 (A Wiener filter design (1) to produce three sets of observations: first generating a signal s (n) according to s (n) = as (n-1)+w (n), to add noise (20dB SNR, respectively , 10 dB, 6 dB), to obtain observational data x1 (n), x2 (n), x31 (n). (2) estimate xi (n), i = AR model parameters 1,2,3. Assuming the signal length L, AR model of order N, analysis of experimental results and discuss the impact changing L, N of the experimental results.)