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wavelets-11
- 本程序实现利用小波变换对图像进行分解，获取其低频和高频部分-the program using wavelet image decomposition, their access to low-frequency and high-frequency part of
WaveletVC++Res
- 通过设计VC程序对简单的一维信号在加上了高斯白噪声之后进行Daubechies小波、Morlet小波和Haar小波变换，从而得到小波分解系数；再通过改变分解得到的各层高频系数进行信号的小波重构达到消噪的目的。在这一程序实现的过程中能直观地理解信号小波分解重构的过程和在信号消噪中的重要作用，以及在对各层高频系数进行权重处理时系数的选取对信号消噪效果的影响。-through the design process to a simple one-dimensional signal with a Ga
new4
- 先产生一个信号。然后对信号进行小波变换，得到低频和高频系数-first produce a signal. Then the signal wavelet transform, and low-frequency and high-frequency coefficients
Wavelet-image-denoising-procedures
- 小波图像去噪程序。th=sigma*sqrt(2*log10(L*T)) 计算阈值 ch=c(1,num(4-i,1):num(4-i,3)+step(4-i)-1) 对各高频系数进行阈值处理 chl=length(ch) for j=1:chl if abs(ch(j))>=th ch(j)=sign(ch(j))*(abs(ch(j))-2*th/(1+exp(m*(ch(j)^2)))) 阈值处理函数 else -Wavelet image denois
xiaobobianhuan
- 实现小波变换调用upcoef 函数，根据近似（低频）分量和细节（高频）分量进行重构-Wavelet transform to achieve upcoef function call, according to approximation (low frequency) component and details (high frequency) component is reconstructed
Matlab_wavelet
- 掌握小波分析在图像分析等各方面的应用。对图像进行二维离散小波分解、多尺度二维离散小波分解 并提取二维小波分解的高频系数和低频系数， 画出原始图形并显示分解结果。-Master the application of wavelet analysis in image analysis and other applications. Image two-dimensional discrete wavelet decomposition, multi-scale two-dimensiona
DiscreteWaveletTransform
- 小波轉換(Discrete Wavelet Transform, DWT)，所先對原圖水平做低頻和高頻的 convolution 之後降 頻，再做垂直的低頻和高頻的convolution，最後再降 頻，得到 結果。-Wavelet transform (Discrete Wavelet Transform, DWT), the first level of the Original low-frequency and high frequency of the c
highfrequencyspectrumanalysis
- 现代信号处理技术高阶谱时频分析与小波变换 电子书 超星版-Modern signal processing ,high frequency spectrum analysis, wavelet transform.eBook
wavelet
- 小波变换的一级分解过程，原始信号分别进行低通、高通滤波，再分别进行二元下抽样，就得到低频、高频（也称为平均、细节）两部分系数；而多级分解则是对上一级分解得到的低频系数再进行小波分解，是一个递归过程-Wavelet decomposition level, the original signals were low-pass, high pass filter, and then under the random binary respectively, to be low frequency,
wavelet
- 为了避免常规正交小波变换所引起的图像边缘失真，特别采用了双正交小波变换进行图像 的多分辨率分解。在融合处理时，为了获得更丰富的细节和更好的融合效果，对不同分解层、不 同方向上的高频分量以及同一分解层图像中的不同区域均采用不同的融合算子。实验结果表明， 该融合方法和融合规则是十分有效的，融合后图像的边缘和纹理细节都更加突出-In order to avoid the conventional orthogonal wavelet transform image edge distort
wavelet
- 使用小波变换进行图像去噪，对得到的高频部分利用软阈值和硬阈值法去噪-Image denoising using wavelet transform, the high frequency part by the use of soft threshold and hard threshold denoising
Wavelets
- 小波分解在图像处理和电能质量分析中应用广泛，本文应用小波分解的方法将高频的暂态信号提取出来，获取暂态信号的特征量，就能够有效地计算暂态信号。-Wavelet decomposition in image processing and power quality analysis is widely used, this application of wavelet decomposition method to extract high-frequency transient signals,
li6-3
- 给定一信号，用db1对信号分别进行单尺度和三尺度分解，求出各层分解的低频系数和高频系数，并分别对低频信号和高频信号进行重构，-Given a signal, the signal separately with db1-scale and three single-scale decomposition, the decomposition of low-frequency coefficients obtained layers and high-frequency coefficients,
MATLAB2-D(FWT)wavelet
- 经典的二维小波变换的例子，可以低通，高通滤波和取低频或高频灰度等，非常有价值！-The classic example of two-dimensional wavelet transform, can be low pass, high pass filter and take low-or high-frequency gray, etc., is very valuable!
xiaobobianhuan
- 小波变换图像数据压缩的论文，去掉高频信息，实现压缩。-Wavelet transform for image data compression papers, to remove high-frequency information, to achieve compression.
Wavelet-of-order
- 采用不同的消失矩的小波函数来分解一个信号，验证了消失矩增大时,它的高频分量中的零原来越多，因此，通常我们都愿意采用消失矩较高的小波函数。-Different vanishing moments of wavelet function to decompose a signal to verify the vanishing moments increases, it is zero in the high-frequency components more original, so often
filter
- 基于LabView的滤波器程序，能过滤高频噪音-LabView-based filter application that can filter high frequency noise
wavelet
- 小波包与图像边缘检测。小波包分解后得到图像序列有近似部分和细节部分组成，近似部分是原始图像对高频部分进行滤波所得的近似表示-Wavelet packet and image edge detection. Wavelet packet decomposition get image sequence is approximate part and detail parts, approximate part is the original image of the high frequency
2
- his paper presents a reversible data hiding method based on wavelet spread spectrum and histogram modification. Using the spread spectrum scheme, we embed data in the coefficients of integer wavelet transform in high frequency subbands. The pse
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.