搜索资源列表
对白噪音信号进行基于小波变换尺度为n的分解
- 对白噪音信号进行基于小波变换尺度为n的分解
work
- 有小波分解求小波熵,还有小波包技术求解信号特征,适应与分析脑电信号特征-Seeking a wavelet decomposition wavelet entropy, and wavelet packets technique to solve the signal characteristics, and analysis of EEG characteristics of adaptation
program
- 我的本科毕业设计程序,包括了基于脊波小波分解和整数小波分解的小目标识别。-My undergraduate graduate design program, including the ridge wave based on wavelet decomposition and integer wavelet decomposition of small object recognition.
DWT-rank4
- 许多的图像处理过程中,需要更多级别的小波分解,我的程序是四级小波分解,大家可以参考!-A lot of image processing, the need for more levels of wavelet decomposition, my 4 wavelet decomposition procedure, we can refer to!
图像小波分解-matlab
- 小波分解 利用多尺度小波分解函数dwt2对图像进行二尺度小波分解(采用db1小波)
signalwaveletdecopositon
- 一维信号的小波分解重构,其中matlat的源代码是对序列做了扩展的-One-dimensional wavelet signal decomposition and reconstruction, in which the source code matlat is extended sequences done
wavelet-matlab
- 基于小波理论的采用sym4小波分解实现图像融合。-base on wavelet map mix
Wavelet-1
- 小波程序,包含小波分解和小波重构,供大家参卡!-wavelet procedures, including wavelet decomposition and reconstucting for our reference card!
matlab1
- 我们知道,小波变换的一级分解过程是,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。以下是一维小波分解的程序. -We know that a wavelet transform decomposition process is that the original signal were low-pass, high pass filter, and then
lena
- lena图像的分解将规范化后的图像的数据格式由适合显示图像的uint8格式转换为适合数值处理的double格式,再调用二维小波分解函数进行图像分解,最后为了清晰地显示分解图像的塔式结构,在图像的相应区域绘制若干分界线。 -lena image after decomposition of the standardized image data format suitable for display by the image is converted to uint8 format suita
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
wavelet
- 小波去噪程序原码。包括小波分解、重建、阈值门限设置等-Source wavelet denoising procedures. Including wavelet decomposition, reconstruction, threshold settings, such as threshold
a2
- 传统小波阈值去噪法 小波阈值收缩法去噪的主要依据是:小波变换特别是正交小波变换具有很强的去数据相关性,它能够使图像的能量在小波域集中在一些大的小波系数中;而噪声的能量却分布于整个小波域内,因此,经小波分解后,图像的小波系数幅值要大于噪声的系数幅值,可以认为,幅值比较大的小波系数一般以图像信号为主,而幅值比较小的小波系数在很大程度上是噪声。于是采用阈值的办法可以把信号系数保留,而使大部分噪声系数减少至零[-Study on Algorithm of Image Denosing Based o
Studyonoptimalwaveletdecompositionlevel
- 图像融合 分解层数 小波变换 多聚焦图像融合的最佳小波分解层数为5 层-Image fusion decomposition level wavelet transform multi-focus image fusion of the best wavelet decomposition of 5-storey low-rise
Neural
- matlab 编写的小波分解程序,进行模式识别-the preparation of the wavelet decomposition matlab procedures, pattern recognition
Example2_6_1
- 对图像的小波分解与重构,并且进行阈值滤波,对滤波前后的图像进行了对比-The image of the wavelet decomposition and reconstruction, and the threshold to filter the images before and after filtering were compared
test2_wavelet_decomposing
- 用两种方法做边缘检测并对比其效果:传统算子和小波分解去噪后得到的近似系数图像后提取边缘-Two ways to do edge detection and contrast the effect: the traditional operator and after denoising wavelet decomposition coefficients of the approximate image after the edge extraction
untitled
- 用matlab实现图像小波分解-Matlab image with wavelet decomposition