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wavelet_transformation
- 简单的小波压缩变换工作的原理如下: 信号和求导信号,形成的求同信号序列和求导信号序列的长度均为输入信号的长度的一半.如果输入信号序列是A={a(1),...,a(n)}求同信号S={s(1),...,s(n/2)}和求异信号D={d(1),...,d(n/2)}的计算方式为: for i=1,...,n/2 s(i)=a(2*i-1)+a(2*i) d(i)=a(2*i-1)-a(2*i) 例如输入信号是: 5,2,3,2,5,7,9,6
SAR
- 在实数域 ,对称、 正交的紧支集非平凡单小波基不存在 ,而多小波把紧支集，对称性、 正交性完美地结合在一起 ,使小波理论从标量扩展到矢量范畴。利用上述特点将多小波变换应用于 SAR 图像压缩。-In the real fields, symmetric, orthogonal set of nontrivial compactly supported wavelet basis does not exist alone, but more than the compact support wav
beijingquzao
- 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
Wavelet-transform--in-image-
- 分形和小波都是近年来兴起的数学理论，在图像处理方面的应用已有许多研 究。分形与小波理论之所以能够结合起来应用，是因为二者在本质上有着很大的 相关性。分形理论研究物体的局部特征以确定其整体特性，小波理论则采用局部 对整体依赖性的系统论方法进行分析。-Fractal andwavelet arenewtheoriesinmathematics．Thesetheories havebeen applied in manysubjects，including image pr
Wavelet-based-image-enhancement
- 本文研究了基于小波变换的几何信息特性和变分问题的图像分解改进算法，实现Contourlet变换和小波变换相结合的图像增强改进算法。表明改进算法在增强有用信号的同时较大限度地抑制图像噪声。-This paper studies the geometric features based on wavelet transform and variational image decomposition improved algorithm Contourlet transform and wavelet
PTandCS
- 小波变换与峰值变换相结合对图像的处理与恢复。-Wavelet transform to transform the combination of image processing and recovery and peak.
PTandFFT
- 小波变换与傅里叶变换相结合对图像的处理与恢复。-Wavelet transform with the Fourier transform of the combination of image processing and recovery.
High-frequency-emphasis-on-filtering
- 一种将高频强调滤波同直方图均值化结合的图像增强方法，是图像边缘更加清晰。-A high frequency emphasis the filtering mean histogram of the combination of image enhancement methods, the edges of the image is more clear.
MUSIC
- MATLAB实现基本MUSIC算法与均匀线阵结合的DOA估计功能-MATLAB MUSIC algorithm with uniform linear array combination DOA estimation
bNSCT-transform-and-wavelet-packet
- bNSCT变换和小波包变换相结合的图像隐藏方法_郑伟-the combination of NSCT transform and wavelet packet transform _ Zheng Wei image hiding method
surf
- This is achieved by relying on integral images for image convolutions by building on the strengths of the leading existing detectors and descr iptors (in casu, using a Hessian matrix-based measure for the detector, and a distribution-based descr ipto
matlab-programes
- the zip file conatins the matlab code that describe the convolution, folding, shifthing etc,. and other properties of one or combination of signal.