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- dyadic wavelet decomposition 二进小波分解
- The charaters after affine transformation can also be recognized by a dyadic wavelet affine invariant function. 仿射变换后的汉字或其它图像可用多尺度小波的仿射不变函数进行对比识别。
- Firstly calculate the absolution of the source speech signal, then analyze the absoluted signal in the dyadic wavelet domain. 首先对原始语音信号取绝对值,然后对其进行小波变换,认为8阶小波变换绝对值的极大值点对应于原始语音的音素分段点。
- Multiscale edges of a signal can be detected by using extrema or zero-crosings of dyadic wavelet transform. 本文通过二进小波变换极值或零交叉点可获取信号的多尺度边缘,由此得到信号的绝大部分信息。
- Abstract: Multiscale edges of a signal can be detected by using extrema or zero-crosings of dyadic wavelet transform. 摘 要: 本文通过二进小波变换极值或零交叉点可获取信号的多尺度边缘,由此得到信号的绝大部分信息。
- 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。
- Generalized dyadic wavelet is given, and its application in signal processing is disussed. 本文给出二进小波的推广;并讨了在信号处理中的应用.
- 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。
- Then fringe gray extremum curves have been extracted by two kinds of methods respectively on the basis of Yatagai and Haar dyadic wavelet. 运用基于Yatagai和基于Haar二进小波变换的两类方法分别实现了条纹极值线的提取,提出了改进的Hildith细化算法,运用旋转滤波法消除伪分叉点;
- 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。
- Dirivatives of cardinal B-splines are proved to be dyadic wavelets. 文章证明,基数B样条的各阶导数是一类二进小波。
- 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。
- A reconstruction algorithm by cubic spline function interpolation, which is used to recover a signal from its dyadic wavelet transform extrema is proposed in this paper. 本文提出了用样条插值重构算法来实现由信号二进小波变换极值点重构原始信号。
- 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。
- The basic conception of dyadic wavelet transform is introduced The practical expression of dyadic discrete wavelet transform of digital signal is presented. 介绍了二进小波变换的基本概念,给出了数字信号二进离散小波变换的实用表达式。
- 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。
- Based on dyadic wavelet and Multiresolution Approximation theory, dyadic networks and dyadic fuzzy systems represent the approximation of the target function. 根据二进小波理论和多分辨率分析理论,二进网络和二进模糊系统能够逼近目标函数的概貌部分。
- 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。