PandO_2

共包含四个文件： hamo_packet.m 谐波小波包子程序，输入参数为原信号序列，采频，分解层数，返回三维数组，存储各层各频带分解结果； harmopacktest.m 检验上述子程序可行性的m文件； harmonic wavelet analysis.pdf Newland关于谐波小波的原始论文； 20130329谐波滤波.docx 内附matlab程序和分析结果。对电机电流信号做了谐波小波分解，分别从时域和频域构造谐波小波，结果显示，频域构造的小波光滑性稍差。(Contains four files: hamo_packet.m harmonic wavelet buns procedures, input parameters as the original signal sequence mining frequency decomposition level, return to the three-dimensional array, storage layers each band decomposition results harmopacktest.m test subroutine feasibility m-file harmonic wavelet analysis.pdf Newland original papers on harmonic wavelet 20,130,329 harmonic filter the. docx included matlab program and analysis of the results. Harmonic wavelet decomposition of the motor current signal, respectively, from the time domain and frequency domain construct harmonic wavelet, the results show that wavelet smoothing a less frequency-domain structure.)

一个FFT的matlab例子，详细讲述了FFT的输出结果与点数，还有采样频率FS之间的关系，对于新手来说，理解这些很有用(A FFT example based on MATLAB. The relationship between output of FFT and the nummber of point of FFT and Fs is detailed in it.)

MATALAB BASEDSIMULATION IN DEC 2013

非常实用的关于相像系数的程序，与大家分享，希望能在相像系数仿真上面有所帮助(Very practical program resemblance coefficient, helpful to share with you and hope simulation resemblance coefficient above)

内容为matlab插值和拟合算法和数据分析算法，数据分析为回归分析(Says matlab interpolation and fitting algorithm and data analysis algorithms, data analysis for the regression analysis)

基于灰色理论的粒子群优化算法，在matlab7上进行了试用(Based on Grey Theory PSO, a trial on the matlab7)

说明：  matlab常用函数和规则的例程，对初学者很有帮助。包括编程过程当中很常用到的各种函数以及规则！(Matlab commonly used functions and routines rules, useful for beginners. Includes programming process is very common to the various functions and the rules!)

说明：  某大学的人工神经网络的课件，比较详细。其中介绍的一些参考书不错。(a University of Artificial Neural Network Software, a more detailed. Describing some good reference books.)

This is a matlab code for using no-overlapping windows of size WxW. It uses ind2sub and sub2ind() built in functions in matlab.

Matlab conding for image Processing