Description: 包括2代小波示意程序，2维小波变换经典程Daubechies小波基的构造等小波程序的合集-Including 2 generation wavelet signal process, the classic 2-D wavelet transform Daubechies wavelet-way structure of the collection procedures, such as wavelet Platform: |
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Author:李炎 |
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Description: 2代小波示意程序
2维小波变换经典程序
Daubechies小波基的构造
采用多孔trous算法(undecimated wavelet transform)实现小波变换
平移变换平移法(cycle_spinning)消除gibbs效应
提升法97经典程序
消失矩作用的程序
小波插值与小波构造
小波滤波器构造和消噪程序
小波谱分析mallat算法经典程序-2 Generation Wavelet indicated procedures classic 2-D wavelet transform procedures for Daubechies wavelet bases constructed using porous trous algorithm (undecimated wavelet transform) the realization of wavelet transform translational translational transform method (cycle_spinning) to eliminate Gibbs effect of lifting 97 vanishing moments the role of the classic procedure of wavelet interpolation procedure value structure of wavelet and wavelet de-noising filter structure and procedures of small Mallat algorithm for spectral analysis of the classical procedures Platform: |
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Author:马成 |
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Description: 小波变换源码，国外VC开发的，效果比较好
I ve been involved with wavelet-analysis since my Ph.D studies and over the years developed various wavelet-transforms C++ libraries. This one concerns 2D implementation of the Fast wavelet transform (FWT). The 2D FWT is used in image processing tasks like image compression, denoising and fast scaling. I intended to design the implementation of the 2D FWT with custom filter support and simple in usage. I ve equipped it with known filter families: Daubechies, Coiflets and Biorthogonal wavelets. The wavelets used in compression tasks are Bior53 and Bior97. With Daub1 filter you can achieve fast dyadic image scaling algorithm. You may also experiment with other filters for compression and denoising and compare the results, you may also add your custom wavelets. The nice feature of this library is that reconstruction FWT filters are rearranged the way that you perform just convolution operations on the spectrum, which is very important if you d like MMX -err Platform: |
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Author: |
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Description: 执行一维和二维小波变换在MATLAB环境中。十几包括的小波函数有：
* Haar
* Daubechies 1-6
* Symlets 1-6
* Coiflets 1 and 2
* Splines and reverse splines
* CDF 9/7 and Le Gall 5/3
* S+P wavelets (2,2), (4,2), (4,4), (6,2), and (2+2,2)
* Two Ten "TT"
* Low-complexity design
* HVS design Visual 9/3
-Description Perform 1D and 2D wavelet transforms in MATLAB. WAVELET(W,L,X) computes the L-stage discrete wavelet transform (DWT) of signal X using wavelet W. For the inverse transform, WAVELET(W,-L,X) inverts L stages. Included wavelets are
* Haar
* Daubechies 1-6
* Symlets 1-6
* Coiflets 1 and 2
* Splines and reverse splines
* CDF 9/7 and Le Gall 5/3
* S+P wavelets (2,2), (4,2), (4,4), (6,2), and (2+2,2)
* Two Ten "TT"
* Low-complexity design
* HVS design Visual 9/3 Platform: |
Size: 10240 |
Author:chen huayi |
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Description: 1 Haar Wavelets
1.1 The Haar transform
1.2 Conservation and compaction of energy
1.3 Haar wavelets
1.4 Multiresolution analysis
1.5 Compression of audio signals
1.6 Removing noise from audio signals
1.7 Notes and references
2 Daub echies wavelets
2.1 The Daub4 wavelets
2.2 Conservation and compaction of energy
2.3 Other Daubechies wavelets
2.4 Compression of audio signals
2.5 Quantization, entropy, and compression
2.6 Denoising audio signals
2.7 Two-dimensional wavelet transforms
2.8 Compression of images
2.9 Fingerprint compression
2.10 Denoising images
2.11 Some topics in image processing
2.12 Notes and references
3 Frequency analysis
3.1 Discrete Fourier analysis
3.2 Definition of the DFT and its properties
3.3 Frequency description of wavelet analysis
3.4 Correlation and feature detection
3.5 Object detection in 2D images
3.6 Creating scaling signals and wavelets
3.7 Notes and references Platform: |
Size: 4108288 |
Author:Rakesh |
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Search - Daubechies wavelet in 2D