PEGASIS-Protocol-in-OmnetPP-by-wsnlab.ir

Ordinary and Partial Differential Equation Routines in C, C++, Fortran, Java, Maple, and MATLAB

matlab2008a软件的电子书，说明非常详细(matlab2008a software, e-books, very detailed description)

电力系统不对称电路的故障分析及计算，包括单相短路故障，两相短路故障等(Asymmetry of power system fault analysis and calculation of the circuit, including single-phase short circuit fault, such as two-phase short circuit fault)

对时间序列或者信号进行fft谱分析，可以打开任意数据文件后分析，很方便使用。(FFT transfer of matlab code,it is useful for signal analysis.)

图像处理的DWT算法，用于基础图像处理学习。matlab语言制作(image processing with DWTimage processing with DWTimage processing with DWT)

Matlab经典教程——从入门到精通.pdf(Matlab classic tutorial- from entry to the master. Pdf)

介绍了 Cohen类双线性时频分布并针对交叉干扰项影响无法完全消除的问题进行了重排时频变换以提取及分辨 含有白噪声和窄带周期干扰的局部放电信号。处理仿真和现场检测到的局部放电超声信号时根据白噪声和窄带 周期干扰信号在时域上的平稳性特性发现重排 Cohen类时频变换方法不仅可以很好地将局放信号和背景噪声以 及窄带周期干扰信号分辨开来,而且大大减弱并抑制了交叉干扰项的影响,保持了更高的时频分辨率和时频聚集 性,从而验证了重排 Cohen类时频变换方法的有效性。 (In order to express the partial discharge ( PD) information of gas insulated switchgear ( GIS) in time-frequency domain, weintroduced theCohen? s class bilinear time-frequency distribution and its reassigned time-frequency transform method to pick up and distinguish theultrasonic signals in field from the whitenoises and narrow band periodic interference signals using the acousticemission ( AE) technology. After the processing of the simulated and PD ultrasonic signals in field, and according to the stationary feature of white noises and narrow band interference signals, wedraw a conclusion that the reassigned time-frequency distribution method can not only distinguish thePD signal from back ground noises and narrow band interference signals, but also decrease and restrain the influenceof cross-items, and acquire better time )

该例程实现了男女声音识别的算法，识别准确率较高(This routine realizes the algorithm of male and female voice recognition, and the recognition accuracy is high.)

常规资料计算束缚水饱和度，是用于常规的资料处理等(Conventional data irreducible water saturation for conventional data processing)

《MATLAB图像处理实例详解》源代码 第15 章 ( MATLAB image processing example explanation Source Code Chapter)