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Andrzej Majkowski, Marcin Kołodziej and Remigiusz J. Rak

Professional Technical Reference. [5] Mallat, S. (1998). A wavelet Tour of Signal Processing, Academic Press. [6] Boualem Boashash, B. (2003). Time Frequency Analysis. Gulf Professional Publishing. [7] Qian, S., Chen, D. (1999). Joint time-frequency analysis. IEEE Signal Processing Magazine, 2, 52‒67. [8] Nievergelt, Y. (2013). Wavelets Made Easy , Springer. [9] Goswami, J. C., Chan, A. K. (1999). Fundamentals of wavelets - Theory, Algorithms and Applications. John Wiley & Sons Inc. New York

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L.B. Magalas

1988. [27] A.D. Poularikas (ed.), The Transforms and Applications. Handbook, CRC Press Inc. 1996. [28] S. Qian, D. Chen, Joint Time-Frequency Analysis. Methods and Applications, Prentice Hall PTR 1996. [29] I. Yoshida, T. Sugai, S. Tani, M. Motegi, K. Minamida, H. Hayakawa, Automation of internal friction measurement apparatus of inverted torsion pendulum type, J. Phys. E: Sci. Instrum. 14 , 1201-1206 1981. [30] G.X. Liu, S. Rumyantsev, M.S. Shur, A.A. Balandin, Origin of 1/f noise in graphene multilayers: Surface vs. volume, Appl. Phys

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Jonathan Sinclair, Paul J. Taylor and Sarah J. Hobbs

-116. 30. Nigg B.M., Wakeling J.M., Impact forces and muscle tuning: a new paradigm. Exerc Sports Sci Rev, 2001, 29 (1), 37-41, doi: 10.1097/00003677-200101000-00008. 31. Qian S., Chen D., Joint time-frequency analysis: Methods and applications. Prentice Hall, Englewood Cliffs 1996. 32. Lake M.J., Patriatti B., Signal processings approaches to evaluate the performance of shock absorbing inserts for footwear. In: Proceedings of the 4th Symposium on Footwear Biomechanics, Aug 5-7 Canmore, Canada 1999, 70-71. Available from: URL: http

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Michał Kunicki, Andrzej Cichoń and Sebastian Borucki

., Ghazaly H.A. (2005), Particle detection in oil using acoustic and electrical based techniques in correlation with an inference method, Proceedings of Conference on Instrumentation and Measurement Technology, Ottawa pp. 1080-1085. 21. Szmechta M., Boczar T., Fracz P. (2011), Frequency and Time-Frequency Analysis of Acoustic Cavitation Noise in Insulating Oils, Acta Physica Polonica A, 120, 744-749. 22. Wang P., Li B., Roman H.T., Russo O.L., Chin K., Farmer K.R. (2006), Acousto-optical PD detection for transformers, IEEE Transactions on

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Jordanka Ivanova and Varbinka Valeva

References [1] GOLAND, M., E. REISSNER. The Stress in Cemented Joints. J. Appl. Mech., (1944), A17-A26. [2] PAHOJA, H. M. Stress Analysis of an Adhesive Lap Joint Subjected to Tension, Shear Force and Bending Moments, University of Illinois of Urbana-Champaign, T. & A. M-Report 36 1, August, 1972. [3] VINSON, J. R. Adhesive Bonding of Polymer Composites. Polym. Eng. Sci., 29 (1989), 1325-1331. [4] ADAMS, R. D. The Mechanics of Bonded Joints, Structural Adhesives in Engineering, ImechE Conference

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C. Sciarretta, V. Luceri, E. Pavlis and G. Bianco

The ILRS EOP Time Series

Since 2004, ILRS has been providing on a weekly basis combined SSC/EOP solutions from 7-day arcs to support IERS for EOP computation and reference frame maintenance. At present, eight Analysis Centers and two Combination Centers contribute to the weekly official ILRS combined solution from which the main SLR contribution to the IERS EOP reference series is derived. The most recent work performed jointly by all ILRS Analysis Centers (AC) was the generation of a contribution to the next ITRF, extending the time-span coverage of the 7-day arcs combined solution to 1983-2008. In another effort we try to improve the ILRS products' latency and to minimize the delay of the SLR contribution to the IERS EOP estimation, by increasing the product generation frequency (pre-operational daily product), to once per day.

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M. Kaufman and S. Pasynok

Russian State Time and Earth Rotation Service: Observations, Eop Series, Prediction

Russian State Time, Frequency and Earth Rotation Service provides the official EOP data and time for use in scientific, technical and metrological works in Russia. The observations of GLONASS and GPS on 30 stations in Russia, and also the Russian and worldwide observations data of VLBI (35 stations) and SLR (20 stations) are used now. To these three series of EOP the data calculated in two other Russian analysis centers are added: IAA (VLBI, GPS and SLR series) and MCC (SLR). Joint processing of these 7 series is carried out every day (the operational EOP data for the last day and the predicted values for 50 days). The EOP values are weekly refined and systematic errors of every individual series are corrected. The combined results become accessible on the VNIIFTRI server ( approximately at 6h UT daily.

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Arnis Kirshners and Yuri Kornienko

., Lin K., Manilla H., Renganathan G., Smyth P. Rule Discovery from Time Series. // In Proceedings of the 3 rd International Conference of Knowledge Discovery and Data Mining, 1998, p. 16-22. Kornienko Y., Borisov A. Investigation of a Hybrid Algorithm for Decision Tree Generation. IEEE International Workshop on Intelligent DataAcquisition and Advanced Computing Systems: Technology and Applications 8-10 September 2003, Lviv, Ukraine. Retrieved 15 May, 2009 from http

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P. Lejba, J. Nawrocki, S. Schillak, D. Lemański, M. Lehmann and P. Nogaś

., GPS time and frequency transfer: PPP and phase-only analysis , Intern. Journ. of Navigation and Observation, Vol. 2008, Article ID 175468, 2008. Defraigne, P., Baire, Q., Combining GPS and GLONASS for time and frequency transfer , Advanced in Space Research, Advances in Space Research, Vol. 47, Issue 2, p.265-275, 2011. Gotoh, T., Fujieda, M., Amagai, J., Comparison study of GPS carrier phase and Two-Way Satellite Time and Frequency Transfer. In Frequency Control Symposium, Joint with the 21st European Frequency

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Jun Qin and Pengfei Sun

.D., Lei S.F., Davis R.I. (1993), Audiometric and histological differences between the effects of continuous and impulsive noise exposures, Journal of the Acoustical Society of America, 93, 4, 2088-2095. 8. Henderson D., Hamernik R.P. (1986), Impulse noise critical review, Journal of the Acoustical Society of America, 80, 2, 569-584. 9. Kim J., Welcome D.E., Dong R.G., Song W.J., Hayden C. (2007), Time-frequency characterization of hand-transmitted, impulsive vibrations using analytic wavelet transform, Journal of Sound and Vibration, 308