gray-method

Spectrogram implementation in matlab environment

冈萨雷斯数字图像处理MATLAB版，适合初学者(Gonzalez Digital Image Processing MATLAB version For beginners)

核查的关键在于对核材料属性准确、有效地识别[1][2]。利用252Cf作为随机脉冲中子源，对其入射核材料所产生的诱发裂变中子脉冲信号进行采集、处理和分析，得到自相关、互相关、自/互功率谱、功率谱密度比等一系列参数，从而反演核材料内部的反应性的情况，便可用于分析和识别核材料，其基本原理就是252Cf中子源驱动噪声分析测量法[(The result shows that the trained Elman neural network is able to identify the characteristics of correlation function, to distinguish different concentrations, and the average recognition rate reaches 90 , with high robustness.)

object oriented handling example

matlab实现贝叶斯分类器，开发环境是Matlab，不过这里没有。(matlab realize the Bayesian classifier development environment Matlab, but this is no.)

photovoltaic system in matlab simulink

PLC MZI MATLAB仿真. MZI可用作波分复用器件（分离两个波长光信号）。本例子为一级MZI，由两个光耦合器（耦合系数a1,a2）和一段延迟臂（延迟dl）构成。MZI有两个输入和两个输出端口，一般两个波长光信号由一个输入端口输入，而在两个端口分别输出不同波长信号。(PLC MZI simulation.)

The radially averaged power spectrum (RAPS) is the direction-independent mean spectrum, i.e. the average of all possible directional power spectra. This function computes and plots the RAPS of an input image. The function was written to produce the RAPS for square weather radar reflectivity images so you will have to relabel the plot axes and title to suit your needs. The radially averaged power spectrum provides a convenient means to view and compare information contained in 2D spectra in 1D

卷积的意义和合成地震记录的制作Convolution meaning and synthetic seismic recording production(Convolution meaning and synthetic seismic recording production)

matlab GUI的设计，具体的文档，图文并茂，比较容易学习(Matlab GUI design, specific documents, pictures, and relatively easy to learn)