2013
DOI: 10.1016/j.cpc.2012.08.008
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SeismicWaveTool: Continuous and discrete wavelet analysis and filtering for multichannel seismic data

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Cited by 21 publications
(16 citation statements)
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“…According to these frequency characteristics, in this work we have applied a 5 th -order band-pass Butterworth filter between 30 and 40 kHz in order to enhance this secondary peak respecting to the main one and follow their evolution (in amplitude and frequency) along the subsequent load tests (Galiana-Merino et al, 2013).…”
Section: Ultrasonic Analysis In Frequency-domainmentioning
confidence: 99%
“…According to these frequency characteristics, in this work we have applied a 5 th -order band-pass Butterworth filter between 30 and 40 kHz in order to enhance this secondary peak respecting to the main one and follow their evolution (in amplitude and frequency) along the subsequent load tests (Galiana-Merino et al, 2013).…”
Section: Ultrasonic Analysis In Frequency-domainmentioning
confidence: 99%
“…Discrete Wavelet and Multiwavelet transform given a good indication in applications of signal processing. Recent work on Multiwavelet have been studies the basic theory, methods of constructing new multifilters and the denoising and compression applications in of video and image [17,18,19,22].The computation methods of 1, 2 and 3D of DWT are shown in [17,20,22,23,24,25] also 1 and 2D of DMWTCS are shown [18,24,25] and 3D-DMWTCS shown below.…”
Section: Computation Methods Of 3d-dwt and 3d-dmwtcsmentioning
confidence: 99%
“…In term of security system, the concept of the residual of intelligibility while the quality of the recovered data are subjective quantity, thus the scramble and descramble process techniques are estimated on the results of expert listeners during the test [22,23]. The tests were made tighter by adopting the following steps: 1.…”
Section: Proposed Secure Wireless Transceiversmentioning
confidence: 99%
“…Especially in the case of strong noise, the traditional Fourier transform is difficult to deal with the weak signal in the background of strong noise under the premise of ensuring high fidelity. Recently, some scholars have proposed a non-linear method of wavelet threshold [ 1 , 2 ], but the wavelet basis function is fixed, thus it cannot match all real signals. To be precise, wavelet analysis does not have the characteristics of self-adaptation.…”
Section: Introductionmentioning
confidence: 99%