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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
Update : 2025-02-17 Size : 9kb Publisher : 李炎

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
Update : 2025-02-17 Size : 9kb Publisher : 马成

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
Update : 2025-02-17 Size : 10kb Publisher : chen huayi

for using this code need to use signal toolbox and general toolbox in your matlab Using Daubechies transform to compress the image (showing remaining coefficen of Thresholded Image) and then using Inverse 2D Daubechies transform and finding the SNR to see how well decompression works-for using this code need to use signal toolbox and general toolbox in your matlab Using Daubechies transform to compress the image (showing remaining coefficen of Thresholded Image) and then using Inverse 2D Daubechies transform and finding the SNR to see how well decompression works
Update : 2025-02-17 Size : 8kb Publisher : jams1166
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