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- 2D wavelet decomposition 二维小波分解
- At first, the 2D wavelet transform was performed for filtering the noise.Then, the subwindow factor analysis method was carried out for the resolution of the overlapping peaks. 首先应用二维小波变换滤除噪声，然后采用子窗口因子分析法解析重叠峰。
- Laplacian image fusion, contrast modulation fusion and image fusion technology based on wavelet decomposition are studied emphatically. 重点研究了拉普拉斯图像融合、对比度调制融合、基于小波分解的图像融合技术。
- The stage 1 extracts extrema from wavelet coefficients of images after wavelet decomposition to locate face. 阶段一由分解后的小波系数取极值藉以框出初步的人脸。
- The comparison experiments show that the optimal wavelet decomposition level for multi-focus image fusion of 5 levels. 对比实验结果表明，多聚焦图像融合的最佳小波分解层数为5层。
- It includes horizontal, vertical and diagonal-directions of 1D and 2D wavelet transform denoising process. It can reserve the directional edge of 1D wavelet transform denoising, and eliminate the blurred edge of 2D wavelet transform denoising. 该方法包括水平、垂直和对角线多个方向一维（1D）与二维（2D）两个小波变换消噪处理过程,汲取了1D方向数组小波变换消噪能较好保持方向性边沿的优点,消除了2D图像小波变换阈值法消噪造成的边沿模糊。
- This Paper analyses the wavelet theory and FWT algorithm.The implementation of the wavelet decomposition and reconstruction is mainly explored. 文中对小波理论和快速小波变换算法进行了分析，着重阐述了信号的小波分解与重构过程的实现。
- Lifting with several filter components, which can be used wavelet decomposition, remodeling, compression, segmentation, etc. 小波提升框架，用几个滤波器组成，可以用于小波的分解，重构，压缩，分割
- For the nonstationarity and spectrum chaos of the bearing vibration signal, threshold denoising based on wavelet decomposition was put forward. 针对轴承振动的非平稳性特点和频谱成分的混杂性，提出了基于小波的信号自适应阈值降噪法。
- The new algorithm decomposes noisy signal in time phase and suppress deform quantum of wavelet decomposition coefficients in frequency phase. 新算法在时域上对含噪信号进行分解，在频域上对各层的小波分解系数的畸变量进行抑制。
- By use of wavelet decomposition reconstruction algorithm, the vibration signal is de noised and the signal noise rate is improved, the loss is low. 利用小波分解重构算法 ,对振动测试信号进行去噪处理 ,改善测试信号的信噪比 ,减少信号损失。
- For the nonstationarity and spectrum chaos of the bearing vibration signal,threshold de-noising based on wavelet decomposition was put forward. 针对轴承振动的非平稳性特点和频谱成分的混杂性,提出了基于小波的信号自适应阈值降噪法。
- To extract target feature of infrared image with low SNR, a new scheme based on combination of wavelet decomposition and energy feature is proposed in this paper. 为提取低信噪比红外雷场图象中的目标,采取了一种基于小波分解和能量特征的目标提取方法。
- Abstract： A fast algorithm for wavelet decomposition and reconstruction of quasi-uniform bicubic B-spline surfaces is a key part of B-spline multiresolution modeling. 摘 要： 准均匀B样条曲线小波分解与重构的快速算法可以拓广到张量积B样条曲面，而曲面小波分解与重构的快速算法是曲面多分辨造型的关键。
- Based on the wavelet decomposition of PD signal and white noise, a new method of transformer PD de-noising using the best wavelet for every layer is proposed. 在对局部放电信号和白噪的小波分解特性进行分析的基础上，以减小去噪对局部放电脉冲幅度误差和波形畸变为目标，提出了逐层最优小波算法。
- Abstract： This Paper analyses the wavelet theory and FWT algorithm.The implementation of the wavelet decomposition and reconstruction is mainly explored. 摘 要： 文中对小波理论和快速小波变换算法进行了分析，着重阐述了信号的小波分解与重构过程的实现。
- Noise and background clutter are inhibited by frequency band selection carried out by multi-resolution analysis based on orthogonal wavelet decomposition. 摘要采用基于正交小波分解的多分辨率分析实现频带选择，抑制噪声和背景杂波；
- A fast algorithm for wavelet decomposition and reconstruction of quasi-uniform bicubic B-spline surfaces is a key part of B-spline multiresolution modeling. 准均匀B样条曲线小波分解与重构的快速算法可以拓广到张量积B样条曲面，而曲面小波分解与重构的快速算法是曲面多分辨造型的关键。
- It is then subject to such mathematical indignities as wavelet decomposition, multi-resolution Fourier analysis, polyphase filtering and discrete cosine transformation. 接下来它还要经过一些数学处理程序，比如小波分解，多重分辨率傅立叶分析，多相过滤，离散余弦变换等。
- Huiying Liang.Iire artimo."A heart sound feature extraction algorithm based on wavelet decomposition and reconstructin,"IEEE,vol.20,no,3,PP.1539-1541,1998. 李勇;高小榕;郭爱雯.;基于连续小波变换得心音信号时频分析
