Design, manufacturing and commissioning of nuclear industry equipment
Article Name | The Time-And-Frequency Transformations Used in Digital Processing of Signals |
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Authors | Ju.E. Uljanova, R.G. Babenko, A.V. Chernov |
Address | Volgodonsk Engineering Technical Institute the branch of National Research Nuclear University «MEPhI», |
Abstract | The comparative analysis of the time-and-frequency transformations used for digital processing of signals such as continuous Fourier transformation, Wavelet transformation and Gilbert - Huang transformation is presented in article. |
Keywords | time-and-frequency transformations, Fourier transformation, Wavelet transformation and Gilbert-Huang transformation |
Language | Russian |
References | [1] D'jakonov V., Abramenkova I. MATLAB. Obrabotka signalov i izobrazhenijj. Special'nyjj spravochnik [MATLAB. Processing of signals and images. Special reference book]. Sankt-Peterburg. Pub. “Peter”, 2002, ISBN 5-318-00667-1, 608 p. (in Russian) [2] Mironov D.S. Ehksperimentalnoe issledovanie pulsacij davlenija, generiruemykh melkojj otkrytojj kavernojj, s primeneniem chastotno-vremennykh metodov obrabotki dannykh [Pilot study of the pulsations of pressure generated by a small open cavity with application of time-and-frequency methods of data processing]. Teplopfizika i aehromekhanika [Thermophysics and aeromechanics], 2011, Vol. 18, №3, ISSN 0869-8635, p. 385–395. (in Russian) [3] The Hilbert-Huаng Trаnsform аnd Its Аpplicаtions / Eds By Norden E. Huаng, Sаmuel S. Shen. Pub. World Scientific Publishing Compаny, 2005, ISBN 981-256-376-8, 324 p. (in English) [4] Pavlov A.N., Filatova A.E., Khramov A.E. Chastotno-vremennojj analiz nestacionarnykh processov koncepcii vejjvletov i ehmpiricheskikh mod [Time-and-frequency analysis of non-stationary processes of the concept of wavelet and empirical models]. Izvestija vuzov. Prikladnaja nelinejjnaja dinamika [News of higher education institutions. Applied nonlinear dynamics], 2011, Vol. 19, №2, ISSN 0869-6632, p. 141–157. (in Russian) |
Papers | 36 - 42 |
URL Article | URL Article |
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