q_2000_1000

two methods of calculating eucledian distance are shown in the m files

Performance analysis of wireless networking with interleaving on the receiver side over Rayleigh fading channels.

说明：  在MATLAB环境下实现Huffman编码(In the MATLAB environment to achieve Huffman coding)

通信工程基于Matlab仿真，用于基础的通信模型的设计以及仿真，图像显示更为直观。(Communication Engineering Simulation Based on Matlab)

this file is for restructure

采用ECG信号进行HRV的时域分析、频域分析的Matlab代码(Matlab code for HRV time domain analysis and frequency domain analysis using ECG signal.)

有小波分析的盲信号处理，matlab编写的元胞自动机，基于分段非线性权重值的Pso算法，包括主成分分析、因子分析、贝叶斯分析，滤波求和方式实现宽带波束形成，正确率可以达到98％。(There Wavelet Analysis Blind Signal Processing, matlab prepared cellular automata, Based on piecewise nonlinear weight value Pso algorithm, Including principal component analysis, factor analysis, Bayesian analysis, Filtering summation way broadband beamforming, Accuracy can reach 98 .)

MatLab命令集.xls,MatLab命令集.xls(MatLab command set. Xls, MatLab command set. Xls)

最新版的matlab gauge工具箱，目前很多版本无法自带安装，直接解压后添加到toolbox目录下即可（附带很多有用控件）(The latest version of matlab gauge toolbox, many versions of currently installed not own, directly unpacked directory can be added to the toolbox (with a lot of useful controls))

克里金法假定采样点之间的距离或方向可以反映可用于说明表面变化的空间相关性。克里金法工 具可将数学函数与指定数量的点或指定半径内的所有点进行拟合以确定每个位置的输出值。克里金法是一个多步过程；它包括数据的探索性统计分析、变异函数建模 和创建表面，还包括研究方差表面。当您了解数据中存在空间相关距离或方向偏差后，便会认为克里金法是最适合的方法。该方法通常用在土壤科学和地质中。(This function completes what I have started with the functions variogram and variogramfit. It is not intended to be a highly optimized code for performing kriging but may have educational value. Note that for using kriging, you should download the latest version of variogramfit. kriging uses ordinary kriging to interpolate a variable z measured at locations with the coordinates x and y at unsampled locations xi, yi. The function requires the variable vstruct that contains all necessary information on the variogram. vstruct is the forth output argument of the function variogramfit. This is a rudimentary, but easy to use function to perform an ordinary kriging interpolation. I call it rudimentary since it always includes ALL observations to estimate values at unsampled locations. This may not be necessary when sample locations are not within the autocorrelation range but would require something like a k nearest neighbor search algorithm or something similar. Thus, the alg)