2014
DOI: 10.1016/j.cam.2013.04.016
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The generalized continuous wavelet transform associated with the fractional Fourier transform

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Cited by 76 publications
(25 citation statements)
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“…The signals received by sensors S0 to S3 are shown in Figure 10, which are the results of wavelet denoising [21] . In comparison with S0 and S3, the amplitudes in S1 and S2 are obviously larger, because S1 and S2 are closer to the sound source, which means less sound attenuation in the soil.…”
Section: Experiments Results and Discussionmentioning
confidence: 99%
“…The signals received by sensors S0 to S3 are shown in Figure 10, which are the results of wavelet denoising [21] . In comparison with S0 and S3, the amplitudes in S1 and S2 are obviously larger, because S1 and S2 are closer to the sound source, which means less sound attenuation in the soil.…”
Section: Experiments Results and Discussionmentioning
confidence: 99%
“…[3] Subsequently, several authors have considered fractional Fourier transform for many different reasons and have investigated a number of properties and applications of it, see, e.g. [4][5][6][7][8][9][10][11][12].…”
Section: Introductionmentioning
confidence: 99%
“…Note that the convolutions * 1 and * 2 behave like conjugate to each other. Yet another generalized convolution * 3 is known in the literature, see [9,11], defined by…”
Section: Introductionmentioning
confidence: 99%
“…Generally, there are four changing features such as trend [ 4 ], periodicity [ 5 ], randomness [ 6 ], and synthesis [ 7 ] in time series and three types of time series prediction including point prediction which offers prediction values, range prediction which offers prediction value within one interval, and density prediction which offers the complete probability distribution of the prediction value.…”
Section: Introductionmentioning
confidence: 99%