AM

本程序设计的是咬尾编码的turbo码，用matlab编写。咬尾turbo码也即不需要拖尾比特，使得前后两个状态相同，译码采用修正的MAP译码算法。此文件为turbo码译码一般的MAP算法，程序中用作与咬尾turbo译码的对照(This program is designed to encode the turbo tail biting code, written with matlab. Tail biting turbo code that is not trailing bits to make the same before and after the two states, the MAP decoding using modified decoding algorithm. This document is a general MAP turbo decoding algorithm, and biting the end of the program for the control turbo decoding)

基于matlabGUI 的图形化界面，展示了snake能量边缘算法检测，并通过调节参数查看算法效果(MatlabGUI-based graphical interface that shows the snake energy edge detection algorithm, and the algorithm by adjusting the parameters to see the effect of)

Distribution systems power flow analysis package using Matlab coded

雷达来波方向的DOA估计，本程序是利用matlab进行一维DOA谱峰搜索(Radar DOA DOA estimation, the procedure is carried out using matlab DOA one-dimensional spectral peak search)

The codes are the matlab platform. they are begin simple to complex.

隐层节点的确定，包含有设置技巧和说明，m文件是直接编辑好的可以用来计算节点数的代码(Hidden layer nodes to determine the set of skills and instructions, m file directly edited can be used to calculate the number of nodes in the code)

图像2倍上采样和下采样，快速且准确，成像效果较好。(Photo 2 times upsampling and downsampling, fast and accurate.)

Decompose image into subbands (undecimated wavelet), denoise, and recompose again. fh = decomp_reconst_wavelet(im,Nsc,daub_order,block,noise,parent,covariance,optim,sig) im : image Nsc: Number of scales daub_order: Order of the daubechie fucntion used (must be even). block: size of neighborhood within each undecimated subband. noise: image having the same autocorrelation as the noise (e.g., a delta, for white noise) parent: are we including the coefficient at the central location at the next coarser scale? covariance: are we considering covariance or just variance? optim: for choosing between BLS-GSM (optim = 1) and MAP-GSM (optim = 0) sig: standard deviation (scalar for uniform noise or matrix for spatially varying noise) Javier Portilla, Univ. de Granada, 3/03 Revised: 11/04

利用原数据进行实验，并利用主成份分析后取样本。(Experimental use of the original data and the use of principal component analysis of a sample.)

将偏差的比例、积分、微分通过线性组合构成控制量，对被控对象进行控制(The deviation of the proportional, integral, differential control volume through the linear combination of form, to control the controlled object)