matlab-Citra-Digital

matlab的又一本教程，内用详细，丰富。分类明确，是一本很好的工具书。(matlab another in this tutorial, which used detailed, rich. Categories clear, is a very good tool.)

说明：  matlab 解方程，希望对大家有帮助，写得很好(matlab programming source code, we want to help, very well written)

说明：  实现txt文本中的换行转换，具体是将第二行的文字放到第一行后面(Achieve txt convert text wrap)

用matlab/simulink搭建的铅酸蓄电池充电模型。(Using matlab/simulink model to build the lead-acid battery charging.)

viterbi simulation K = 7 in bpsk modulation, with soft decoding 3 bit

移动通信实验MATLAB仿真程序代码，包括1AWGN信道中BPSK调制系统的BER仿真计算，2移动信道建模的仿真分析，3CDMA通信系统仿真(Mobile communication experiment MATLAB simulation program code, including 1AWGN channel BPSK modulation system BER simulation calculation, the mobile channel modeling simulation analysis, 3CDMA communication system simulation)

在非正交（NOMA）环境下，固定功率分配和树形算法分配的比较，说明树形的优势(In the non-orthogonal (NOMA) environment, relatively fixed power allocation and distribution tree algorithm, explain the benefits of tree)

滤波求和方式实现宽带波束形成，用MATLAB实现动态聚类或迭代自组织数据分析，匹配追踪和正交匹配追踪。( Filtering summation way broadband beamforming, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Matching Pursuit and orthogonal matching pursuit.)

基于Markov方法的风机出力预测方法，具有较强的可转换性(The method of wind power forecast using Markov)

he files in this package comprise the Matlab implementation of a foreground segmentation algorithm based upon graph cuts, described in: Better Foreground Segmentation Through Graph Cuts, N. Howe & A. Deschamps. Tech report, http://arxiv.org/abs/cs.CV/0401017. The file extractForeground.m contains a sample function that will perform a complete foreground segmentation for static camera video. It uses a number of parameters, which are described in the documentation. An attempt was made to choose sensible default values, but they may need to be adjusted for some videos. More generally, the implementation in extractForeground.m is only a suggestion of how the graph-based segmentation might be used. The same approach can be applied with other (perhaps time-adaptive) background models. The key step is at line 113 of the code, once the deviation array has been created. The graph-cut segmentation can be applied similarly to a deviation matrix computed in any other way.