搜索资源列表
tfdemo1
- 使用matlab时频分析中的一个demo文件 大家可以和传统的wavlet比较下-use Matlab time-frequency analysis of a demo we can document and traditional wavlet compared
image_wavelet
- 这是一个关于wavlet的算法，，编的还比较好，，希望对大家有用-This is a wavlet on the algorithm, and the series is still relatively good, useful for all
wavlet
- 本书以MATLAB7.0中的小波分析工具箱为蓝本，结合工程实际中的各应用领域，讲解了如何应用MATLab来实现小波分析
wavelet_thresh_traditional
- 一个用于小波去噪的matlab程序，用matlabgui编写，去噪函数的核心是阈值去噪-wavlet denoising gui
DWT
- Wavlet image transformation
Multi-wavlet
- 多维小波matlab工具箱，可以和matlab自带的小波工具箱配合使用。-Multi-dimensional wavelet toolbox matlab, matlab can bring their own use of the wavelet toolbox.
xiaobotztq1
- 用于小波瞬态特征提取,间断点的提取。首相经过数据滤波处理-wavlet
wavlet
- 小波阈值去噪的程序，实现对图像的去噪，也可以用于对简单的语音和其它信号-Wavelet threshold denoising procedures
wavlet-demo
- 实现对信号的连续、离散小波分解，程序简单易读-Achieve continuous signal, discrete wavelet decomposition, the program simply read
walvetnosiedepression
- 语音增强中的小波去噪，主要是抑制细节信号中，进行清音浊音判别，进行阈值选取-wavlet
ImageDenoisingBasedonWaveletTransform
- 基于小波变换的图像去噪的matlab程序 程序使用说明： 1、软件应用平台：Matlab6.5或更高； 2、打开方法： 将文件所在目录设为工作目录，然后打开wavlet.fig,在noise提示框下输入噪声强度，在0-0.1之间（不能为零）。 然后点process按钮，就会显示实验结果，包括原图像，加噪图像，去噪图像的对比以及当前的psnr值。 wavlet.m是程序文件。 程序内容写在在程序的注释里。 阈值的更改没有实现可视化，在源程序中可以改。-Image d
wavlet-function
- 由于小波函数没有显示表达，此程序通过数值方法将其表示出来-wavelet function
New-Folder-(6)
- this code for wavlet selection and finding parametres ,showing it incommand window ........by pandey
ezwmatlab
- source code of embedded zero tree wavlet transform
wavelet_texture
- wavlet based texture synthesis. -wavlet based texture synthesis.
wavelet cluster
- clustering of data using wavlet
wavlet
- wavlet transformation is widely used in the analysis and simulation of diffrent problebem in engineering.in the present paper we discuss the use of wavelet transform
wavletpan
- this code explains parameter descr iption ................................and wavlet based system-this code explains parameter descr iption ................................and wavlet based system...
dtdwt1
- dualtree discrete wavlet transform of EEG database
wavlet
- Fusion of images from different imaging modalities, obtained by conventional fusion methods, may cause artifacts, including destructive superposition and brightness irregularities, in certain cases. This paper proposes two methods for improving imag