AHP-MATLAB

说明：  利用FFT快速运算技术来实现在二维图像领域上的稀疏分解过程。(The use of FFT techniques to achieve fast computing in the field of two-dimensional image of the sparse decomposition process.)

这是一个基于matlab的小波分析信号文献，希望大家学习下。(This is a signal matlab wavelet analysis based on literature, we hope that the next study)

這是一個利用butter filter 的bandstop 來濾除原始訊號中有雜訊的方法，先轉為spectrogram觀察雜訊所分步頻帶與能量，再依照要濾除的部分作bandstopa(This is a use of bandstop butter filter to filter out the noise of the original signal has a method, the first step into a spectrogram observation noise and energy of the band, then follow to filter out parts for bandstopa)

磁流变减震器模型，bouce_wen经验模型(Magnetorheological damper model)

说明：  基于matlab实现卡尔曼滤波。卡尔曼滤波是递推自适应滤波的一种有效方法。(Kalman filter based on the realization of matlab. Recursive adaptive Kalman filter is an effective method for filtering.)

说明：  基于小波变换模极大的多尺度图像边缘检测matlab源代码，该算法采用的是样条小波，为了更好的检测边缘，用多孔算法代替了mallat算法。该算法和mallat快速算法主要区别： 1 多孔算法不需要抽取偶数样本，所以奇异检测定位更准确，相应的重构是不需要插零。2 多孔算法需要对滤波器进行伸缩。(based on wavelet transform modulus maxima of multiscale edge detection Matlab source code, The algorithm used is kind of wavelet, in order to better detect the edge of porous algorithm instead of Mallat algorithm. The algorithm and fast algorithm Mallat major difference : an algorithm porous not even take samples So singular position detection more accurate, the corresponding Reconstruction interpolation is not zero. Two porous algorithm need to filter extendable.)

利用matlab里面的吹风机数据，用前300个数据进行辨识。分别采用最小二乘辨识和相关性系数法辨识。并画出图形。通过对比最小二乘法和相关函数两种方法得出来的辨识图形。可知相关函数辨识的准确度更高。(Use a hair dryer inside matlab data before using 300 data identification. Were used to identify the least squares identification and correlation coefficient method. And draw graphics. By comparing the least squares method and related functions have two ways out of the identification graphics. Shows a higher correlation function identification accuracy.)

MM1 code ..please check this out. This is MM1 tandem code that I used recently. May need to modify a bit to your situation. Ok have fun and enjoy!!!!

崭新矢量机SVM源码，IEEE上发表，技术有一定帮助(New vector machine SVM source, IEEE published, technology has certainly helped)

EEG brain signal anlaysis codes. Extract event-related potential (ERP) compoents from brain signal. Estimate ERP waveforms, and the assoimated single-trial latencies and amplitudes. Estimate spectrum of on-going activities. Two algoithms, dVCA and AESO, are implemeneted. Could be useful for researchers and students in biomeical engineering.