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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
wavelet-vc++6
- 小波变换程序源代码，可以处理一维数据和二维图像数据。通过小波变换将低频信息提取出来。-wavelet transform source code, can handle data and one-dimensional two-dimensional image data. Through the wavelet transform to low-frequency information is extracted.
func_Myappcoef2
- 此函数用于求得多重小波变换后的低频小波系数，在matlab自带的函数基础上改的。-this function to obtain multiple wavelet transform the low-frequency wavelet coefficients, In Matlab built-in function on the basis of reform.
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
wavlet
- 离散正交小波变换及小波重构，程序中给出测试数据，可得到这组数据小波分解后的低频分量和重构以后的数据-Discrete orthogonal wavelet transform and wavelet reconstruction, procedures given in the test data, available in this set of data after wavelet decomposition and reconstruction after low-frequency co
WaveletTransform
- 利用二维小波分析对一幅图象作2层小波分解,并在此基础上提取各层的低频信息实现图像的压缩.-The use of two-dimensional wavelet analysis of images for a 2-layer wavelet decomposition, and on this basis the low-frequency information extracted all levels to achieve image compression.
63535316jiqishijue
- 视频文字识别在视频分析与检索中有着重要作用,该算法对字幕图像进行N层小波分解,获得该视频文字的低频分量,再借助相似性度量方法实现视频文字的识别。-Video character recognition in the video analysis and retrieval plays an important role in the algorithm of subtitles images N layer wavelet decomposition, which is low-frequenc
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
fasheqi
- 简单的低频多波的发生器设计，简单的设计完美的功能-Simple low-frequency multi-wave generator design, simple design features the perfect
wave
- 小波变换相关方法的MATLAB实现，可以在同地幅图像中显示四幅不同的波段，包括三个高频和一个低频。-MATLAB Wavelet Transform Correlation method implemented in the same way images can be displayed in four different bands, including three high and one low-frequency.
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
tuxiangpipei
- 基于小波变换的多分辨匹配算法: 首先利用小波的多分辩率特性将匹配图像和模板图像分解到乙层上，并且只保留LL低频部分，然后利用归一化相关法作为相似性度量，进行由粗到细的相关匹配过程，每次利用下一层的匹配结果在上层小范围内搜索。这样做极大地减少了搜索空间，而且减少了每次匹配计算相似度的数据量。 -Wavelet multiresolution matching algorithms: a wavelet multi-resolution feature will match the imag
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,
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,
Wavelet-transform-in-Image
- 小波变换在数字图像中的应用，主要分析了基于小波变换的图像分解和图像压缩的技术,并运用Matlab 软件对图像进行分解,然后-This paper analysed the technologies of the picture decomposition and compression basecd on wavelet transform ,and decomposing the picture using Matlab ,and then picked up the low frequenc
WaveletFusion
- 基于小波变换的多传感器融合算法，先通过小波变换分离低频信号和高频噪声，计算高频噪声的方差，通过不同传感器信号噪声方差的大小决定不同传感器的置信程度（方差越小，权重越大），最后进行信号融合。-Wavelet-based multi-sensor fusion algorithm, the first separation of low-frequency signal by wavelet transform and high frequency noise, calculate the vari
wavelet_wx
- （1.）二维信号的小波分解。选择一个小波和小波分解的层次N，然后计算信号s到第N层的分解。 （2）对高斯系数进行阈值量化。对于从1到N的每一层，选择一个阈值，并对这一层的高斯系数进行软阈值量化处理。 （3）二维信号的重构。根据小波分解的第N层的低频系数和经过修改的从第1层到第N层的各层高频系数计算二维信号的小波重构。 -(1) 2 d signal wavelet decomposition. Choose a wavelet and wavelet decomposition le
wavelet-watermarkin
- 提出一种基于小波变换与分形编码技 术 相 结 合 的 矢 量 地 图 零 水 印 模 型 通 过 小 波 变 换获得地图的低频系数块 利用分形相似计算获得与该低频系数块匹配的图像子块 将图像子 块通过拼贴生成零水印并提交第三方版权认证机构备案-Proposed based on wavelet transform and fractal coding technology in the rise of a close and operation of map zero water sea
Iris-feature-extraction-algorithm
- 基于二维小波变换和方向向量，提出一种新的虹膜特征提取方法。该方法的基本思想是考虑虹膜纹理的 灰度变化，对于多层小波分解后的低频分量，分别求其在4个方向上的方向向量，最后形成虹膜码。测试结果表明，该方法能 有效地提高虹膜的识别率，且算法简单、快速。 -The basic principle of the method is as follows.In view of iris textural intensity variation,for the low- frequency c