li5-39

Fast wavelet transforms and numerical algorithms 1

用于计算一个实数或复数序列的离散傅里叶变换和一个复数序列的逆离散傅里叶变换(fast fourier transform subroutine for real valued series)

小波神经网络,实现曲线拟和，数据分类，故障诊断，学习速度快于传统BP。(Wavelet neural network, and realize curve fitting, data classification, fault diagnosis, learning faster than the traditional BP.)

提取图像显著图，小波融合 非常详细，有用(Extract image saliency map, wavelet fusion is very detailed, useful for)

利用小波变换，EMD以及两者的综合分别进行轴承信号背景噪声去噪分析(Using wavelet transform, EMD and the combination of the two separate bearing signal denoising of background noise)

小电流接地系统故障选线matlab程序 希望对大家的学习有帮助(Small current grounding fault line matlab program hope that everyone' s learning)

matlab利用小波模极大值法实现信号的奇异性检测(Signal singularity detection in Matlab)

说明：  很详细的hht编程代码，matlab亲测可用，提供了比较清晰的注释，帮助理解(Very detailed HHT programming code, matlab pro test available, provides a relatively clear note to help understand)

说明：  整数Haar小波变换和逆变换 可用于差值扩展等(Integer Haar wavelet transform and inverter)

一种新的瞬时频率估计方法，用到了同步压缩短时傅里叶变换的高阶形式(This MATLAB package is a collection of scripts allowing to generate figures in the paper [1]. This paper puts forward a generalization of the short-time Fourier-based Synchrosqueezing Transform using a new local estimate of instantaneous frequency. Such a technique enables not only to achieve a highly concentrated time-frequency representation for a wide variety of AM-FM multicomponent signals but also to reconstruct their modes with a high accuracy.)