Description: 二进小波多级分解，基于小波的图像多尺度分解和便于那检测，成功完成小波对图像的多尺度分解及重构。-into two multi-level wavelet decomposition of the image based on wavelet multi-scale decomposition and then facilitate detection, the successful completion of image wavelet multiscale decomposition and reconstruction. Platform: |
Size: 21504 |
Author:无梦 |
Hits:
Description: 编程实现基于小波变换尺度相关性去噪算法，结合例子验证该算法的去噪性能-Programming based on wavelet transform denoising algorithm scale correlation, combined with examples of verification of the algorithm de-noising performance Platform: |
Size: 421888 |
Author:张瑞 |
Hits:
Description: 基于小波变换模极大的多尺度图像边缘检测matlab源代码该算法采用的是样条小波-Based on wavelet transform modulus maxima of the multi-scale image edge detection matlab source code of the algorithm is based on spline wavelets Platform: |
Size: 66560 |
Author:张光年 |
Hits:
Description: 基于小波多尺度的灰度图像纹理特征检测源码，小波可以自定义-Based on wavelet multi-scale texture features of the gray image source detection, wavelet can customize Platform: |
Size: 2048 |
Author:Flora |
Hits:
Description: 基于小波的图像多尺度方向特征提取，小波可使用 db4 -Based on wavelet multi-scale orientation of the image feature extraction, wavelet can be used DB4 Platform: |
Size: 2048 |
Author:Flora |
Hits:
Description: dctcom.m文件利用DCT变换完成对输入图像进行压缩；imagecbe.m完成对输入的两幅RGB图像用小波分析的方法进行图像融合 imagecom.m完成对输入的RGB图像用小波分析的方法进行自动降噪，得到高频系数阈值，降噪效果百分比和结果 wavelet1D.m完成对输入的一维信号进行多尺度离散小波分解 wavelet2D完成对输入的二维信号进行多尺度离散小波分解；zigzag.m完成对输入的8*8矩阵按照zigzag排列抽取数据.-document the use of DCT transform dctcom.m completion of the input image compression imagecbe.m completion of the two RGB input image with wavelet analysis method of image fusion imagecom.m completion of the input RGB image using wavelet analysis method automatically drop noise, the threshold of high-frequency coefficient, noise reduction effect and the results of the percentage of wavelet1D.m completion of the input signals of one-dimensional discrete wavelet multi-scale decomposition wavelet2D completion of the input signals of two-dimensional discrete wavelet multi-scale decomposition zigzag.m completed the input of 8* 8 matrix of data collected in accordance with the zigzag order. Platform: |
Size: 3072 |
Author:zhouhao |
Hits:
Description: 利用小波变换多尺度分析的特性,在小波域的各个尺度上选取不同的阈值对基本的频域谱减法进行改进,并且根据清浊音各自不同的特点,在去噪过程中加以分离,保留了语音中的清音成分,使语音更加饱满。-The use of multi-scale wavelet analysis of the characteristics of the individual in the wavelet domain scale threshold select a different frequency domain of the basic spectral subtraction to improve and, in accordance with their respective Qingzhuo sound different characteristics, in the denoising process be separated from the retained voice of the voiceless in the composition, more full of voice. Platform: |
Size: 1024 |
Author:王璇 |
Hits:
Description: 本实验要求开发一个基本的哈尔小波变换程序包，用于后续的实验。实验中使用哈尔基函数特有的“平均”与“差分”方法。首先要编写一个计算哈尔小波的j-尺度离散小波变换程序。并且要编写一个计算哈尔小波的j-尺度的逆离散小波程序，并用课本上的例7.8来验证所编写的程序-The experiment calls for the development of a basic package Haar wavelet transform for the follow-up experiment. Harki function used in the experiment-specific " average" and " difference" method. First of all, to be prepared a calculation of the Haar wavelet j-scale discrete wavelet transform procedures. And to prepare a calculation of the Haar wavelet scale j-inverse discrete wavelet procedures, and the cases of books to verify the preparation of 7.8 procedures Platform: |
Size: 9216 |
Author:jhm |
Hits:
Description: 该程序是在基于Haar小波的多尺度NLOS抑制算法研究中不同的NLOS环境不同分布的RMSE图及数据程序。-The program is based on the Haar wavelet multi-scale algorithm for NLOS inhibit the different NLOS environments with different distributions of the RMSE map and data program. Platform: |
Size: 22528 |
Author:刘浩明 |
Hits:
Description: 基于小变换，以及边缘融合算法的图像边缘检测算法。包含了在多尺度下层层检测分解重构图像-Based transformations, and the edge of fusion algorithm for image edge detection algorithm. Contains layers of detection in multi-scale decomposition of the reconstructed image Platform: |
Size: 9216 |
Author:葛宏 |
Hits:
Description: Images require substantial storage and transmission resources, thus image compression is advantageous to reduce these requirements. The report covers some background of wavelet analysis, data compression and how wavelets have been and can be used for image compression. This project aims at implementing wavelet transform for image compression. The wavelet transform is implemented using Matlab.As the wavelets provide a unique relation between time and scale components of the signal, this property makes wavelets suitable for image compression and also the efficient decomposition of signals prior to compression. Platform: |
Size: 1024 |
Author:prince |
Hits:
Description: 实现以下功能：装载信号；完成信号的单尺度一维离散小波分解；从系数中重构低频部分和高频部分；显示高频和低频部分；由小波逆变换恢复信号；多层一维分解；提取系数的低频和高频部分；重构第3层的低频系数；重构第1、2、3、4、5层的高频信号；重构原始信号并显示-Achieve the following functions: load signal complete signal single-scale one-dimensional discrete wavelet decomposition reconstructed from the coefficients in the low frequency and high frequency display high-frequency and low frequency restored by the inverse wavelet transform signal multi-layer one-dimensional decomposition extraction coefficient of low frequency and high frequency reconstruction of 3-layer low-frequency coefficients reconstruction of the first layer of high-frequency signal 1,2,3,4,5 reconstruct the original signal and display Platform: |
Size: 1024 |
Author:王艳 |
Hits:
Description: 06一维连续小波变换 画出连续小波整数变换尺度和用sym2小波尺度谱，使用分形信号作为输入
07 分形信号 离散和连续小波变换 对比-One dimensional continuous wavelet transform and draw the continuous One dimensional continuous wavelet transform and draw the continuous integer wavelet transform scale spectrum with sym2 wavelet scales, using fractal signal as input
fractal signal is discrete and continuous wavelet transform
Platform: |
Size: 1024 |
Author:付滔 |
Hits:
Description: WAVEFAST Perform multi-level 2-dimensional fast wavelet transform.
[C, L] = WAVE FAST (X , N, LP, HP) performs a 20 N-level FWT of
image (or matrix) X with respect to decomposition filters LP and
HP.
[C, L] = WAVEFAST(X, N, WNAME) performs the same operation but
fetches filters LP and HP for wavelet WNAME using WAVEFILTER.
Scale parameter N must be less than or equal to 10g2 of the
maximum image dimension. Filters LP and HP must be even. To
reduce border distortion, X is symmetrically extended. That is,
if X = [c1 c2 c3 ... cn] (in 1D), then its symmetric extension
would be [ ... c3 c2 c1 c1 c2 c3 .. , cn cn cn-1 cn-2 ... ]. Platform: |
Size: 3072 |
Author:Hoang Cuong
|
Hits:
Search - wavelet matlab scale