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- adaptive wavelet decomposition 自适应小波分解
- 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。
- An algorithm for constructing adaptive wavelet filters was proposed, and applied to multivariate calibration of the near infrared (NIR) spectra. 摘要实现了一种构建自适应小波滤波器的方法,并将其用于近红外光谱数据的多元校正。
- Experimental result shows that this algorithm yields higher PSNR compared to other adaptive wavelet denoising algorithms. 仿真结果表明,该算法与其它自适应门限去噪算法相比,去噪后的图象具有更高的峰值信噪比(PSNR)。
- 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
- An adaptive wavelet network classifier for vibration fault diagnosis of steam turbine-generation is proposed based on theory of adap tive wavelet network( AWN). 基于自适应小波网络理论,构造了一个应用于汽轮发电机组振动故障诊断与识别的自适应小波网络分类器。
- 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。
- An adaptive wavelet network classifier for vibration fault diagnosis of steam turbine-generation is proposed based on theory of adap tive wavelet network (AWN). 基于自适应小波网络理论,构造了一个应用于汽轮发电机组振动故障诊断与识别的自适应小波网络分类器。
- 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。
- Firstly, the image is smoothed with the adaptive wavelet filter;the multiple speckles are removed while the edge property of SAR images is sustained.It made the detection easier. 首先采用自适应小波滤波方法对图像进行滤波,在保留图像细节的前提下有效地去除了图像中的乘性噪声,使后续的检测变得相对容易。
- 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。
- Adaptive wavelet neural network intelligent ECG detection is a method in which the wavelet function substitutes for the effective function of connotative layer in the neural network. 自适应小波神经网络检测法就是利用小波函数取代通常神经网络中隐层的作用函数来实现的。
- 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。