MATLAB7.0basic

MATLAB SIMULATION FOR CUK CONVERTER IEEE

说明：  运用M-file编写的永磁同步发电机的稳态运行模型，能输出电机的效率，定转子电流等曲线(Prepared using M-file the steady-state operation of permanent magnet synchronous generator model, the efficiency of the motor can output, stator and rotor currents and the curve)

太阳能电池模型 艾斯黛拉发生了的附件上附件了释迦佛(Solar cell model艾斯黛拉occurred in an annex to the annex of the Sakyamuni Buddha)

利用floyd算法能解决最短路径的选择功能还有最短路径的距离(Use of Floyd algorithm can solve the shortest path choice function and the shortest path distance)

首先将变压器故障的样本分成训练集和测试集两部分，然后对它们进行归一化，再用网格参数寻优得到c和g，最后进行变压器故障的预测。(SVM transformer fault diagnosis )

DFT/离散傅里叶变换matlab代码，同时有DSP环境下用汇编语言实现DFT的128位运算。(Discrete Fourier transform matlab code, while under the DSP assembly language environment to achieve DFT of 128 operations.)

基于MATLAB的处理图像的差分高斯滤波的部分代码，需要的同志请下载。(MATLAB code based on partial differential image processing Gaussian filtering, comrades need to download.)

autocov computes the autocovariance between two column vectors X and Y with same length N using the Fast Fourier Transform algorithm from 0 to N-2. The resulting autocovariance column vector acv is given by the formula: acv(p,1) = 1/(N-p) * sum_{i=1}^{N}(X_{i} - X_bar) * (Y_{i+p} - Y_bar) where X_bar and Y_bar are the mean estimates: X_bar = 1/N * sum_{i=1}^{N} X_{i} Y_bar = 1/N * sum_{i=1}^{N} Y_{i} It satisfies the following identities: 1. variance consistency: if acv = autocov(X,X), then acv(1,1) = var(X) 2. covariance consistence: if acv = autocov(X,Y), then acv(1,1) = cov(X,Y)

认知无线电中能量检测matlab源码，体是仿真误警概率下，不同信噪比下的检测概率的。(energy detection)

Smooth Linear filter Median filter Laplacian Unsharp masking Sobel filter