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FuzzyToolV32 matlab software

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 )

matlab实现数据采样，并对采样数据插值，并且使用自适应滤波算法(matlab data sampling, and sampling data interpolation and adaptive filtering algorithm using)

Trial run of very effecitive SET_Time Algorithm

matlab draw examples

应用LMS算法，用Matlab编程实现系统识别.(Application of LMS algorithm, using Matlab programming system identification.)

经典伪彩图，功率谱，很有意思，也很有用希望对大家有帮助。(typical power spectrum,very intresting,i hope everyone will love it.)

基于遗传算法的小波神经网络预测模型，在神经网络基础上做的改进(Wavelet neural network forecasting model based on genetic algorithms, neural network based on the improvements made)

说明：  sar雷达成像的后向投影算法的matlab代码(Matlab code of backward projection algorithm for SAR radar imaging)

The objectives of Partial Differential Equation Toolbox™ software are to provide you with tools that: • Define a PDE problem, e.g., define 2-D regions, boundary conditions, and PDE coefficients. • Numerically solve the PDE problem, e.g., generate unstructured meshes, discretize the equations, and produce an approximation to the solution. • Visualize the results.