sar-filter

离散卷积计算 实验步骤： 主界面下进入实验五的“离散卷积计算”子实验， 输入有限长序列 x(n) 输入有限长序列 h(n) 鼠标单击确定按钮，以数值和图形两种方式显示卷积结果 (Discrete convolution calculation of the experimental steps: the main interface into the experiment five " convolution calculation of discrete" sub-experiment, the entry of a limited length sequence x (n) input sequence of finite length h (n) the mouse button to click OK to both numerical and graphical ways shows the results of convolution)

本文首先对各种通信信号进行了理论分析，在此基础上针对数字调制信号采用了基于决策论方法的调制方式识别算法，并利用MATLAB软件进行了计算机仿真。本文的调制识别算法是基于决策论方法，该方法具有运算量小，识别效果好等优点(Firstly, the various communication signals are analyzed theoretically, on the basis adopted for digital modulation method based on decision theory, modulation recognition algorithm, and using MATLAB software, the computer simulation. This modulation recognition algorithm is based on the decision theory method, which has the computational load, and good recognition results)

对给定的长方矩阵用两种方法求其广义逆矩阵,分析其运算量。(Given its rectangular matrix generalized inverse matrix.)

此例程为配套书籍的第六章例题6-9的相对应代码，功能为方波信号离散小波变换，编程环境为matlab。(This routine supporting books Chapter Example 6-9 corresponding to the code for the function square wave signal discrete wavelet transform, programming environment Matlab.)

说明：  对s进行小波分解，提取小波分解的低频系数，提取小波分解的各层高频系数，绘出各系数的图形(Wavelet decomposition of the s to extract the low frequency coefficients of wavelet decomposition to extract the layers of high-frequency coefficients of wavelet decomposition, the coefficients of the graphics drawn)

this is the Z transform matlab code

mimo capacity_cdf_mimo graph drawing

根据条形光波导折射率数据，分别针对宽高比a:b为1:1与2:1两种情形，设计平板波导色散图(Planar waveguide dispersion map )

this source code is face recognition

数据融合的问题，比较详细，完整，看那一系列文档(Data integration issues, more detailed, complete, look at a series of documents)