资源列表
DWTEA
- 提取小波系数包络特征，首先采用离散小波变换，提取小波系数后选取运动想象脑电相关子带，再用希尔伯特变换提取包络特征(Feature extraction of wavelet coefficients)
STFT
- java实现短时傅里叶算法，在工业故障诊断中，stft算法提供时频域的故障诊断方式(Java implementation of short - time Fourier algorithm, in industrial fault diagnosis, STFT algorithm provides time frequency domain fault diagnosis mode)
waveguideAndpoisson
- 1.利用matlab语言编写泊松方程，注意其中的边界条件要根据自己的实际情况确定，不一定都是那个值。 2.利用matlab语言编写横电波（TE）、横磁波（TM）的传播情况(1.Using MATLAB to write Poisson equation. Note that the boundary conditions should be determined according to their own actual conditions, not necessarily that val
W-M方程与小波变换
- 应用W-M函数建立了分形粗糙表面轮廓，用小波变换对其进行分解，考察了小波变换方法对原轮廓曲线的还原情况(The fractal rough surface profile is established by W-M function, and the wavelet transform is used to decompose it. The reduction of the original contour curve is investigated by the wavelet transf
Hilbert变换
- 模态分解傅里叶变换、小波变换的核心思想一致(From a theoretical consideration, we anticipate the HHT method to remain an empirical one for the foreseeable future. In other word, we can improve the operational efficiency and robustness)
PSNR
- This is a MATLAB code used to calculate the PSNR of a function.
wavelet
- 一维，小波变换，算法，对离散时间序列进行分析。(One dimension, wavelet transform and algorithm are used to analyze the discrete time series.)
夫琅禾费
- 夫琅禾费衍射的应用计算，能够进行夫琅禾费方孔衍射的计算和推演(Fraunhofer diffraction calculation)
Untitled2
- 对信号进行小波变换，从而达到对信号的分析与处理(The signal is transformed by wavelet to achieve the analysis and processing of the signal.)
wavelet
- 运用小波变换对图像进行去噪操作，具有较好的处理效果(Wavelet transform is used to denoise the image, and it has good processing effect.)
matlab小波变换程序
- 小波变换(wavelet transform，WT)是一种新的变换分析方法，它继承和发展了短时傅立叶变换局部化的思想，同时又克服了窗口大小不随频率变化等缺点，能够提供一个随频率改变的"时间-频率"窗口，是进行信号时频分析和处理的理想工具。它的主要特点是通过变换能够充分突出问题某些方面的特征，能对时间(空间)频率的局部化分析，通过伸缩平移运算对信号(函数)逐步进行多尺度细化，最终达到高频处时间细分，低频处频率细分，能自动适应时频信号分析的要求，从而可聚焦到信号的任意细节，解决了
beamshape
- 对入射光进行相位调控，再经过傅里叶变换后进行输出，显示各个截面的光场分布(The incident light is regulated by phase, and then the output is carried out after Fourier transform, and the distribution of the light field of each section is displayed)