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db-wavelet
- Matlab环境下利用Daubechies小波族中的db10小波对散斑退化图像进行了压缩数值仿真研究。研究表明：阈值以及分解层次的选取影响着图像压缩的质量。-Matlab environment using Daubechies wavelet tribal db10 wavelet the withdrawal of speckle image compression for the numerical simulation. Research shows : the threshold le
qiyidiandingwei
- 采用小波对信号进行分解，然后根据不同的分解层次的小波系数，判断信号的奇异点位置-Wavelet decomposition of the signal, and then broken down according to different levels of wavelet coefficients, determine the location of the signal singularity
waveback
- 多层次二位图像 快速小波变换 实例 自己手写- WAVEBACK Performs a multi-level two-dimensional inverse FWT.
wavelet_wx
- （1.）二维信号的小波分解。选择一个小波和小波分解的层次N，然后计算信号s到第N层的分解。 （2）对高斯系数进行阈值量化。对于从1到N的每一层，选择一个阈值，并对这一层的高斯系数进行软阈值量化处理。 （3）二维信号的重构。根据小波分解的第N层的低频系数和经过修改的从第1层到第N层的各层高频系数计算二维信号的小波重构。 -(1) 2 d signal wavelet decomposition. Choose a wavelet and wavelet decomposition le
Nlayer_denoise
- 小波变换的图像去噪，对图像进行分层。小波阈值去噪，对图像进行多层次的去噪。-Wavelet image denoising, layered images. Wavelet threshold denoising, multi-level image denoising.
matlab2
- 小波阈值去噪，含不同分解层次、输入信噪比、阈值、阈值函数去噪功能的比较。原始信号为高斯脉冲-Wavelet threshold denoising with different decomposition level, the input SNR threshold comparison of the threshold function denoising function. The original signal for the Gaussian pulse
wave_denoise
- 对信号进行小波去噪再重构，针对不同分解层次的高频系数，采用分层阈值方式来量化高频系数。-Signal is carried out the wavelet denoising again reconstructed to quantify high-frequency coefficients, high-frequency coefficients for different levels of decomposition, hierarchical threshold.
3correlation-analysis--image-fusion-
- 3变换域图像层次相关分析的遥感图像融合方法研究 宋宇 西安电子科技大学 硕士 2010年-3 transform domain image level correlation analysis of remote sensing image fusion method research yu song xian university of electronic science and technology master degree in 2010
wavletdenoise
- 一维信号DB小波变换去噪，根据不同层次的小波还原信号-One-dimensional signal DB wavelet transform denoising, wavelet based on different levels of signal reduction.
基于小波变换的不同分解层次去噪
- 包含不同分解层次对图像去噪效果的仿真程序及结果，包含信噪比源程序(Contains different decomposition levels of image denoising effect of the simulation procedures and results, including signal to noise ratio source)