• 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 key advantage of the wavelet analysis is that, in contrast to the conventional Fourier analysis, it can be localized in the time and frequency domain simultaneously.

    同传统的傅立叶分析相比,小波分析的最大优势在于可以同时在时频两方面实现局部化分析。

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  • The wavelet analysis is applying widely to pure mathematics, applied mathematics, signal processing, speech recognition and synthesis, automation processing and image analysis etc.

    小波分析已经广泛应用于理论数学、应用数学、信号处理、语音识别与合成、自动控制和图像处理与分析等领域。

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  • As a new technique of signal processing, wavelet analysis has excellent characteristics of time frequency localization and is suitable for analyzing time varying or transient signals.

    作为一种日益获得广泛应用的信号处理新技术,小波分析具有良好的时频局域化特性,适应于时变和瞬变信号的分析。

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  • As an effective analytical instrument, wavelet analysis has aroused the attention of scientists and researchers in various fields and subjects. And remarkable achievements have been made.

    小波分析作为一种有效的分析工具,已经引起了各领域、各学科的科学家和研究人员的高度重视,并取得了显著成绩。

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  • Using steerable filters in wavelet analysis, a new algorithm is proposed in the paper.

    文中结合方向可调滤波器,给出了一种新的融合算法。

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  • This paper describes the composition of bridge health monitoring system and function as well as the basics of wavelet analysis theory.

    本文首先介绍了桥梁健康监测系统的组成与功能以及小波分析理论的基础知识。

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  • Especially to threshold de-noising, a method based on orthogonal wavelet analysis and self-adaptive learning algorithm was proposed here.

    特别是对阈值去噪方法,提出了一种基于正交小波变换和自适应学习算法的噪声抑制方法。

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  • Based on the existing results, this problem is studied deeply in the paper by means of wavelet analysis, simulation, and practical data calculating.

    本文在充分吸收已有研究成果的基础上,利用小波分析、模型模拟分析和实际数据计算,从多个方面对这一问题进行了深入研究。

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  • In data processing, the wavelet analysis was used for the differential spectral data, so the noise was reduced and the precision of analysis was improved.

    在数据处理过程中,对微分光谱数据进行了小波去噪处理,使信噪比得到了增加,从而使分析精度得到了改善。

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  • Processed by the MATLAB-based wavelet analysis, normal EEG signal is used as stimulating source to stimulate brain at proper points for insomnia treatment.

    以正常的脑电作为刺激源,通过基于MATLAB的小波分析进行脑电数据处理,对特定穴位进行电刺激,达到治疗失眠的效果。

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  • To study the measurement and calculation of parameters of celestial bodies, an arithmetic is processed which is based on wavelet analysis and Kalman filter.

    针对天文导航中天体参数的测量与计算问题,提出了基于小波分析的天体参数卡尔曼滤波计算方法。

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  • The ground motion time function is a kind of time serial signals, which is a highly varying and nonstationary randow procedure and fit for wavelet analysis.

    地震动是由于地震引起的地面运动,其时间历程函数表现为具有突变特征的非平稳随机过程,因此更适于利用小波变换进行频谱分析。

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  • This paper illustrates principle of the peculiarity of signal test based on wavelet analysis, and extracts the peculiarity of signal test in pile foundation.

    本文阐述了利用小波分析来检测信号的奇异特征的原理,并对桩基础检测信号的奇异性进行了提取。

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  • Compared with deconvolution method, the well log curves transformed by wavelet analysis contain more detailed information and reach higher vertical resolution.

    该方法与反褶积方法比较,小波变换后的测井曲线更能反应细节信息,具有更高的纵向分辨率。

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  • Wavelet analysis has space localization property. It is very effective to analyze the signal singularity and singularity location and scale by wavelet analysis.

    小波分析具有空间局部化性质,利用小波分析来分析信号的奇异性及奇异性的位置和奇异度的大小是比较有效的。

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  • Based on the analysis of cutting regimes' influences on milling force, the spectrum analysis and wavelet analysis are applied on the random cutting force signals.

    在分析其切削力显著性影响因素的基础上,对切削力随机信号进行了现代谱分析与小波分析。

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  • In recently years, wavelet analysis has more and more wide application in network traffic model, and it offers the strong base for using network source efficiently.

    近年来,小波分析理论在网络业务模型中的应用越来越广泛,它为更有效的利用网络资源提供了坚实的理论基础。

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  • Aimed at noise cancelling cut for ultrasonic inspecting signal of seabed oil pipeline flaw, a kind of noise cancellation method based on wavelet analysis is studied.

    针对海底石油管道超声检测信号的噪声消除问题,本文研究了基于小波分析的噪声消除方法。

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  • Design the signal pre-treatment model and make use of such methods as Fourier transfer and wavelet analysis, etc to perform filtering treatment for spectrum signals.

    设计信号预处理模块,采用傅里叶变换、小波分析等方法,对光谱信号进行滤波处理。

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  • The system includes the following nine modules: pretreatment, wavelet analysis, spectral analysis, forward modeling, inversion, input, output, graph display and help.

    系统包括预处理、小波分析、频谱分析、正演、反演、输入、输出、图形显示、帮助等九个模块。

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  • Noise reduction with wavelet analysis used in phalange recognition of computerized skeletal age assessment system can enhance the precision of skeletal age assessment.

    小波去噪声技术应用于计算机骨龄评价系统中的指骨识别能提高骨龄评价的准确度。

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  • Wavelet transform is a powerful tool for the analysis of the geophysical data. Therefore it is important to develop the program of wavelet analysis and its application.

    小波变换是地球物理数据分析的有力工具,研制小波分析应用程序系统并将其广泛地应用于实际的资料处理和分析,尤其重要。

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  • According to wavelet analysis theory, a signal picking up algorithm based on wavelet analysis is proposed to solve problem of passive CNS initial frequency calibration.

    根据小波分析理论,针对无源北斗导航定位系统初始校频问题,提出了一种基于小波分析的信号特征提取算法。

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  • Furthermore, in order to make a necessary foundation for further research, the relevant knowledge about wavelet analysis and generalized functions is introduced briefly.

    并简要介绍小波分析及广义函数的一些基本原理与相关知识,以此作为本课题研究的必备基础。

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  • A new multivariate calibration method for near infrared spectroscopy quantitative analysis was proposed based on wavelet analysis and N-way partial least square method.

    将小波变换和多维偏最小二乘法相结合用于近红外光谱定量校正模型的建立。

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  • Based on the dynamic and stochastic characteristic of short-term traffic volume, an approach combined wavelet analysis and fuzzy Markov forecasting model is put forward.

    基于短时交通量时间序列的随机波动特征,提出一种小波分析和模糊马尔柯夫结合的预测方法。

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  • By applying wavelet analysis method to image edge detection, multi scale operator of wavelet analysis functions well for noise resisting ability and picture edge reserving.

    将小波分析方法应用于图像边缘检测领域,小波分析的多尺度算子在抗噪声和保留图像边缘的能力上有比较好的效果。

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  • Through wavelet analysis and FFT analysis to the collected structure vibration signal, the vibration wave curves and analysis results of different frequencies are acquired.

    通过对采集的振动信号进行小波多分辨率分析和FFT谱分析,得出被测结构振动响应包含的各频率对应的振动波形曲线。

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  • The characteristic of the concentration wave in the RTD of out-circular reactor, which is a nonstationary quasi-periodic signal, has been investigated with wavelet analysis.

    应用小波分析研究了外循环反应器浓度波这类非平稳拟周期信号的特征。

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