• A joint wavelet-transform correlator (JWTC) is proposed.

    提出了联合子波变换相关器(JWTC)。

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  • Therefore, a lossy Internet image transmission scheme based on wavelet transform is presented, by which Internet image transmission time can be decreased substantially.

    因此,提出了一种基于小波变换的因特网图像传输方案,能大大缩短通过因特网的图像传输时间。

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  • A system model of image sequence coding based on wavelet transform is established. Then a high data compression ratio is realized and satisfactorily reconstructed image can be obtained.

    建立了基于小波变换的运动图像编码系统模型,实现了数据的高效压缩并得到了良好的恢复图像。

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  • D wavelet transform compression coding for image seqUences has been reported recently.

    最近有文献报道图像序列的三维子波变换压缩编码。

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  • Based on wavelet transform, a new method for detecting transient signals has been proposed.

    本文提出一种基于子波变换的检测瞬时信号的方法。

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  • In this paper, we describe a data compression method based on wavelet transform for spectral information.

    本文介绍一种基于子波变换的光谱信息数据压缩方法。

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  • Wavelet analysis, also called wavelet transform, is a new analysis method with good time frequency localization characteristic, so it is suitable for fault analysis of power system.

    小波分析(或称小波变换)是一种新的时频分析方法,它具有良好的时频局部化特性,适用于电力系统故障分析。

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  • Using Absorption spectroscopic analysis to analyze Multi component solution with wavelet transform, the quantities of each component in the mixed solution can be measured.

    用小波变换的方法分析多组分溶液的吸收光谱,可以测量多组分混合溶液中各组分的含量。

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  • The results show that the EWC threshold method of complex wavelet transform can effectively suppress the periodic narrowband interference from GIS UHF PD signals.

    研究结果表明:基于EWC阈值法的复小波变换能够有效地抑制GIS特高频PD信号中的周期性窄带干扰。

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  • Some applications of the optical wavelet transform are summarized and the application in textured image segmentation is discussed in detail.

    总结了光学子波变换的一些应用领域,重点论述了在纹理分割中的应用。

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  • Studies the function of wavelet transform (WT) that can effectively distill the transient characteristics of digital signals to estimate the symbol rate of PSK signals.

    研究基于小波变换有效提取信号瞬变特性的功能,对数字调制移相键控(PSK)信号进行符号速率估计。

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  • After analyzed the statistical characteristics of disparity and residual image, a new coding scheme of disparity compensated difference based on wavelet transform (WDCD) is presented.

    并在分析了视差和残差图像的统计特性后,提出了一个基于小波变换的视差补偿残差(WDCD)的编码方案。

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  • This paper proposed a method for fabric defects edge detection based on discrete stationary wavelet transform (DSWT) and optimal threshold segmentation algorithm (OTSA).

    文章提出了基于离散平稳小波变换和最佳阈值分割算法的织物疵点边缘检测方法。

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  • The algorithm improves the EZW algorithm through inducting fast successive approximation quantization and effective treatment of marginal subband of wavelet transform.

    该方法通过引入快速逐次逼近量化和对小波变换边缘子带的特殊处理,对EZW算法进行了改进。

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  • The algorithm USES forward linear prediction and the ability of the interval wavelet transform to restrain terrible edge effects, thus, the Angle walk and engine jamming are reduced effectively.

    该算法利用前向线性预测技术以及区间正交小波变换抑制边界效应的能力,有效地减小了角随机游走和发动机干扰。

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  • An error robust multiple description coding algorithm was proposed, which combines the overcomplete wavelet transform and projection onto convex sets (POCS).

    结合过完备小波变换和凸集投影集(POCS)算法,提出了一种对信道差错鲁棒的多描述编码算法。

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  • A joint wavelet transform correlator was proposed for binary image feature extraction.

    提出了联合子波变换相关器及其应用于二值图象的特征提取。

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  • Based on the discussion of the theory of wavelet transform of images, a practical multi scale edge detecting method is put forward and the ways to suppress noise interference are discussed.

    在对图像的小波变换原理讨论的基础上,提出了一种较为实用的图像多尺度边缘检测方法,同时对如何抑制噪声的干扰进行了讨论。

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  • A filtering method based on wavelet transform with local maximum value was discussed. The method could distinguish signal from the noise according to the different features of scale change.

    小波变换局部极大值滤波方法利用信号与噪声不同的尺度变化特性来区分信号与噪声,将噪声从信号中分离出来。

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  • That provides not only the theoretic bases for discussing the image space of wavelet transform, but also a new method to investigate the wavelet analysis theory further.

    这不仅为小波变换像空间的讨论提供了理论基础,也为小波分析理论的进一步研究提供了新的途径。

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  • The concepts and its filter of wavelet transform are introduced, the application of wavelet as a kind of new analysis tools in unstable signal analysis is presented.

    介绍了小波变换的基本概念和滤波特性,给出了小波变换作为一种新的分析工具在非平稳信号分析中的应用方法。

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  • The method uses wavelet transform and principle component analysis to preprocess fault signal, afterward training and testing wavelet neural network with the preprocessed fault characteristic data.

    该方法首先利用小波变换和主成分分析对故障信号进行预处理,然后用处理后的故障特征数据对小波神经网络进行训练和测试。

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  • Based on the basic conceptions of wavelet transform, the realization of waveform matching and find the optimized wavelet filter is presented in this paper.

    本文从小波变换的基本概念出发,提出了波形匹配的具体实现方法,利用优化函数来得到最优小波滤波器。

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  • Based on expatiate wavelet transform principle, aimed at the construction of fusion operator, a new scheme using the correlation of decomposition coefficients is presented.

    文中在阐述小波变换原理的基础上,针对融合算子的构造,给出了一种新的基于小波系数相关性的融合方法。

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  • Many results show a fact that, compared with traditional DCT transform, wavelet transform has a great advantage, and it will surely be broadly used in video compression.

    文中的大量实验结果表明,小波变换同传统的DCT变换相比较有很大的优越性,在视频压缩中也必将取得更广泛的应用。

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  • Combined with various applications in image coding and compression, lifting scheme transform is compared with wavelet transform in both hard realization and computation burden.

    结合图像压缩编码的具体应用,从硬件可实现性和计算量两个方面对比了提升框架变换和小波变换。

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  • In this paper, we particularly explain the basic principle of orthonormal wavelet Transform by multiresolution and wavelet decompose and give a realization algorithm.

    本文详细介绍了通过多分辨分析和小波分解实现正交小波变换的基本原理,并给出了实现算法。

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  • In this paper, we particularly explain the basic principle of orthonormal wavelet Transform by multiresolution and wavelet decompose and give a realization algorithm.

    本文详细介绍了通过多分辨分析和小波分解实现正交小波变换的基本原理,并给出了实现算法。

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