Bibliography (Mertins - Signal Analysis (Revised Edition))
Описание файла
Файл "Bibliography" внутри архива находится в папке "Mertins - Signal Analysis (Revised Edition)". PDF-файл из архива "Mertins - Signal Analysis (Revised Edition)", который расположен в категории "". Всё это находится в предмете "цифровая обработка сигналов (цос)" из 8 семестр, которые можно найти в файловом архиве МГТУ им. Н.Э.Баумана. Не смотря на прямую связь этого архива с МГТУ им. Н.Э.Баумана, его также можно найти и в других разделах. Архив можно найти в разделе "книги и методические указания", в предмете "цифровая обработка сигналов" в общих файлах.
Просмотр PDF-файла онлайн
Текст из PDF
Signal Analysis:Wavelets, Filter Banks, Time-Frequency Transforms and Applications.Alfred MertinsCopyright 0 1999 John Wiley& Sons LtdPrint ISBN 0-471-98626-7 Electronic ISBN 0-470-84183-4Bibliography299Bibliography[l]A.N. Akansu and R.A. Haddad. Multiresolution Signal Decomposition.Academic Press, New York, 1992.[2] A.N. Akansu and F.E. Wadas.
On lapped orthogonal transforms. IEEETrans. Signal Processing, 40(2):439-443,Feb 1992.[3] A. Albert. Regression and the Moore-Penrose Pseudoinverse. AcademicPress, New York, 1972.[4]J.B. Allen and L.R. Rabiner. A unified approach to STFT analysis andsynthesis. Proceedings of the IEEE, 65:1558 1564, November 1977.-[5] M. Antonini, M. Barlaud, P.
Mathieu, and I. Daubechies. Image codingusing wavelet transform. IEEE Trans. Image Processing, 1(2):205-220,April 1992.[6] H.J. Barnard, J.H. Weber, and J. Biemond. Efficient signal extensionfor subband/ wavelet decomposition of arbitrary lengthsignals.
In Proc.SPIE, VCIP, volume 2094, pages 966-975, November 1993.[7] R. Bellman. Introduction to Matrix Analysis. McGraw-Hill, New York,1960.[8] R.B. Blackman and J.W. Tukey. The Measur ementof Power SpectraDover, New York, 1958.[g] R.E.Blahut. Fast Algorithms for DigitalSignalProcessingWesley , Reading, MA, 1995.Addison[l01L.
Bluestein. A linear filtering approach to the computation of thediscrete Fourier transform. IEEE Trans. Audio and Electroacoustics,18:451-455, 1970.[l11 B. Boashash and A. Riley. Algorithms for time-frequency signal analysis.In Time-Frequency Signal Analysis, B. Boashash (ed.). Longman,Cheshire, 1992.[l21 S. Boll.
Suppression of acoustic noise in speech using spectral subtraction. IEEE Trans. Acoust., Speech, Signal Processing,27(2):113-120,April 1979.[l31 R.N. Bracewell. The discrete Hartley transform. J. Opt. Soc. America,73:1832-1835, December 1983.[l41 R.N. Bracewell. The fast Hartley transform.Proc. IEEE,72:lOlO-1018,1984.300Bibliography[l51 R.N. Bracewell. The Hartley Transform. OxfordUniversityOxford, UK, 1985.Press,[l61 J.N. Bradley, C.M.Brislawn, and V.
Faber. Reflected boundary conditions for multirate filter banks. In Proc. Int. Symp. Time-Frequencyand Time-Scale Analysis, pages 307-310, Canada, 1992.F. Dehery, andJ.D.Johnston.TheISO[l71 K.Brandenburg,G.Stoll,MPEG-1 audio: A generic standard for coding of high-quality digitalaudio. Journal of the Audio Engineering Society, 42(10):780-792,October 1994.[l81 N.G. De Bruijn. A theory of generalized functions, with applicationsto Wigner distribution and Weyl correspondence. Nieuw Archief voorWiskunde (3), XXI:205-280, 1980.[l91 J.P.
Burg. Maximum entropy spectral analysis. In Proc.37thMeetingSociety of ExplorationGeophysicists,OklahomaCity, October1967.Reprint in Modern Spectrum Analysis, Selected Reprint Papers, D.G.Childers (ed.), IEEE Press, New York, 1978.[20] C.S. Burrus and P.Eschenbacher. An in-place in-order prime factorFFTalgorithm.
IEEE Trans. Acoust., Speech, Signal Processing, 29:806-817,1981.[21] P.M. Cassereau, D.H. Staelin, and G. de Jager.Encoding of imagesbased on a lapped orthogonal transform. IEEE Trans. on Communications, 37(2):189-193, February 1989.[22] D.C.Champeney.A Handbook of FourierTheorems.University Press, New York, 1987.Cambridge[23] L. Chen, T.
Nguyen, and K.P. Chan. Symmetric extension methods forM-channel PR LP FIR analysis/synthesis systems. In Proc. IEEE Int.Symp. Circuits and Systems, pages 2.273 - 2.276, London, June 1994.[24] H.I. Choi and W.J. Williams. Improved time-frequency representationonmulticomponent signals using exponential kernels. IEEE Trans.Acoust., Speech, Signal Processing, 37(6):862-871, 1989.[25] C.K.Chui. An Introduction to Wavelets. Academic Press, New York,1992.[26] T.A.C.M.
Claasen and W.F.G. Mecklenbrauker. The wigner distribution - a tool for time-frequency signal analysis - parts 1-111. Philips J.Res., 35: 217-250,276-300,372-389,1980.[27] M. Coffrey. Boundary compensated wavelet bases. In Proc. IEEE Int.Conf. Acoust., Speech,SignalProcessing, pages2129-2132, Munchen,Bibliography301May 1997.[28] A. Cohen, I. Daubechies, and J.C. Feauveau.Biorthogonal bases ofcompactly supported wavelets. Comm.
Pure and Appl. Math., XLV:485560, 1992.[29] L. Cohen. Generalized phase-space distribution functions. J. of Math.Phys, 7~781-786,1966.[30] L. Cohen. Introduction: A primer on time-frequency analysis. In TimeFrequency Signal Analysis, B. Boashash (ed.).
Longman, Cheshire,1992.[31] J. Cooley and J. Tukey. An algorithm for machine calculationof complexFourier series. Math. Comp., 19:297-301, 1965.[32] R.E. Crochiere and L.R. Rabiner. Multirate Digital Signal Processing.Prentice-Hall, Englewood Cliffs, NJ, 1983.[33] G. CvetkoviC and M. Vetterli. Oversampled filter banks. IEEE Trans.Signal Processing, 46(5):1245-1255, May 1998.[34] I. Daubechies. Orthonormal bases of compactlysupportedComm. Pure and Appl. Math., 41:909-996, 1988.wavelets.[35] I. Daubechies. The wavelet transform, time-frequency localization andsignal analysis. IEEE Trans. on Inf Theory, 36(5):961-1005, September1990.[36] I.
Daubechies. Ten Lectures on Wavelets. SIAM, 1992.[37] I. Daubechies and W. Sweldens. Factoring wavelet transforms intoliftingsteps. J. Fourier Anal. Appl., 4(3):245-267, 1998.[38] W.B. Davenport and W.L. Root. Random Signals and Noise. McGrawHill, New York, 1958.[39] R.L. de Queiroz.
Subband processing of finite length signals withoutborderdistortions. In Proc. IEEEInt. Conf. Acoust., Speech,SignalProcessing, volume IV, pages 613 - 616, San Francisco, USA, March1992.filter[40] R.L. de Queiroz and K.R. Rao.Optimalorthogonalboundarybanks.In Proc. IEEEInt.
Conf. Acoust., Speech,SignalProcessing,volume 11, pages 1296 - 1299, Detroit, USA, May 1995.[41] Z. Doganata, P.P. Vaidyanathan, and T.Q. Nguyen. General synthesisprocedures for FIR lossless transfer matrices, for perfect reconstructionmultirate filter bank applications. IEEE Trans. Acoust., Speech, SignalProcessing, 36(10):1561-1574, October 1988.[42] D.L.Donoho.De-noisingbysoft-thresholding.
IEEE Trans.on InfBibliography302Theory, 41(3):613-627, May 1995.[43] D.L. Donoho and I.M. Johnstone. Ideal spatial adaptationshrinkage. Biometrika, 81:425-455, 1994.via wavelet[44] R.O. Duda and P.E. Hart. Pattern Classification and Scene Analysis.Wiley, New York, 1973.[45] P. Duhamel.Implementation of the split-radix FFT algorithms forcomplex, real, and real-symmetric data.
IEEE Duns. Acoust., Speech,Signal Processing, 34:285-295, 1986.[46] P. Duhamel and H. Hollmann. Split radixLetters, 20:14-16, 1984.FFT algorithms. Electron.[47] J. Durbin. Efficient estimation of parameters in moving average models.Biometrica, 46:306-316, 1959.[48] P. Dutilleux. An implementation of the algorithm B trous to computethe wavelet transform.
In Wavelets: Time-Frequency Methods and PhaseSpace, IPTI, pages 289-304. Springer, New York, 1989.[49] Y.Ephraim.Statistical-model-basedspeech enhancementsystems.Proceedings of the IEEE, 80(10):1526-1555, October 1992.[50] Y. Ephraimand D. Malah. Speech enhancement using a minimummean-squareerrorshort-timespectralamplitudeestimator.IEEETrans. Acoust., Speech,SignalProcessing, 32(6):1109-1121,December1984.[51] Y. Ephraimand D. Malah.
Speech enhancement using a minimummean-squarelog-spectralamplitudeestimator.IEEE Trans. Acoust.,Speech, Signal Processing, 33(2):443-445, April 1985.of quadrature mirrorfilters[52]D. Esteban and C.Galand.Applicationto split band voice coding schemes. In Proc. IEEE Int. Conf. Acoust.,Speech, Signal Processing, pages 191-195, May 1977.[53] A. Fettweis, J.A. Nossek, and K. Meerkotter. Reconstruction of signalsafterfiltering and sampling ratereduction.IEEE Trans.
Acoust.,Speech, Signal Processing, 33(4):893-901, August 1985.[54] P. Flandrin and 0. Rioul. Affine smoothing of the Wigner-Ville distribution. In Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing,pages 2455-2458, Albuquerque, NM, April 1990.[55] N.J. Fliege. Multirate Digital Signal Processing. John Wiley and Sons,Chichester, UK, 1994.[56] C.
Fogg, D.J. LeGall, J.L. Mitchell, and W.B. Pennebaker. MPEG VideoBibliography303Compression Standard. Chapman & Hall, New York, NY, 1996.[57] L.E. Francks. Signal Theory. Prentice-Hall, Englewood Cliffs, NJ, 1969.[58] K.S. Fu. Digital Pattern Recognition. Springer, New York, 1980.[59] K. Fukunaga. Introduction to Statistical Pattern Recognition. AcademicPress, New York, 1972.[60] S. Furuiand M.M. Sondhi. Advances in SpeechSignalProcessing.Marcel Dekker, New York, 1991.[61] D.Gabor.Theoryof communication.Electrical Engineers, 93:429-439, 1946.Journal of the Institutefor[62] X. G m , Z. He, and X.G. Xia.
A new implementation of arbitrary-lengthcosine-modulated filter bank. In Proc. IEEE Int. Conf. Acoust., Speech,Signal Processing, volume 3, pages 1465-1468, Seattle, May 1998.[63] A. Gersho and R.M. Gray. Vector Quantization and Signal Compression.Kluwer Academic Publishers, Boston, 1991.[64] I.