lianghua

仿真电容的充电过程，设t=0为初始时刻,仿真步进应远远小于系统的时间系数(Simulation of capacitor charging process, based t = 0 as the initial time step simulation system should be much smaller than the time factor)

此示意程序用DWT实现二维小波变换 1.调原始图像矩阵load wbarb 2.进行二维小波分解l=wfilters( db10 , l ) 3.分解结果显示figure(1) (This indicated procedures used to achieve two-dimensional wavelet transform DWT 1. Emphasized the original image matrix load wbarb 2. For two-dimensional wavelet decomposition l = wfilters (' db10' , ' l' ) 3. Decomposition results figure (1) )

EXTRACTS ANISOTROPY INFO FROM CLUSTERS OF PARTICLE POSITIONS USING THE GYRATION TENSOR AND ASSOCIATED MAGNITUDES (SEE WIKIPEDIA LINK)

中南大学信息院matlab实验报告 差分方程的脉冲响应，滤波器设计(failed to translate)

fft1- chuong trinh bien doi trong matlab

给定观测序列 O=O1O2O3…Ot和模型参数λ=(A,B,π)，怎样有效计算某一观测序列的概率，进而可对该HMM做出相关评估。例如，已有一些模型参数各异的HMM，给定观测序列O=O1O2O3…Ot，我们想知道哪个HMM模型最可能生成该观测序列。通常我们利用forward算法分别计算每个HMM产生给定观测序列O的概率，然后从中选出最优的HMM模型。(Given the observation sequence O = O1O2O3 ... Ot and model parameters λ = (A, B, π), how to effectively calculate the probability that a single observation sequence, and thus can make the relevant assessment of the HMM. For example, there are a number of different model parameters HMM, given the observation sequence O = O1O2O3 ... Ot, we want to know which model is most likely to generate the HMM observation sequence. Usually we use forward algorithm calculates the probability of a given observation sequence O generated for each HMM, HMM and then to choose the best model.)

说明：  小波分析的matlab源代码，是墨西哥帽子的。(wavelet analysis Matlab source code, the Mexican hat.)

对不同传感器得到的图像进行图像融合，已得到更有利于人或计算机视觉的图像。更好的满足人们的需求(iamge fusion )

MODEL SIMULINK OF DFIG

基于负熵最大化的fastICA，matlab程序。程序中的公式在所附带的pdf文件中都高亮标明(Based on negative entropy maximization fastICA, matlab program. The formula in the program attached pdf file are highlighted marked)