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WAVELET ANALYSIS AND ITS APPLICATION TO THE TESTING OF CONCRETE

Jin Yun Yuan

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Abstract

Energy is an important physical variable in signal analysis. The distribution of energy density with the variation in time and frequency can reveal the characteristics of signals. The time-frequency density method based on wavelet analysis was used to analyze the signal energy at different frequencies and time periods. By eliminating the effect of input signal, the energy change of waves at different frequencies during their propagation in concrete was obtained. The inner defects of concrete could be detected out by using pattern recognition method.

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What this paper is about

Energy is an important physical variable in signal analysis. The distribution of energy density with the variation in time and frequency can reveal the characteristics of signals. The time-frequency density method based on wavelet analysis was used to analyze the signal energy at different frequencies and time periods. By eliminating the effect of input signal, the energy change of waves at different frequencies during their propagation in concrete was obtained. The inner defects of concrete could be detected out by using pattern recognition method.

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Available abstract

Energy is an important physical variable in signal analysis. The distribution of energy density with the variation in time and frequency can reveal the characteristics of signals. The time-frequency density method based on wavelet analysis was used to analyze the signal energy at different frequencies and time periods. By eliminating the effect of input signal, the energy change of waves at different frequencies during their propagation in concrete was obtained. The inner defects of concrete could be detected out by using pattern recognition method.

Key concepts: Wavelet, Energy (signal processing), SIGNAL (programming language), Acoustics, Energy distribution, Time–frequency analysis, Materials science, Computer science

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