Tài liệu Digital Signal Processing Handbook P14 pdf

... T., Bayesian spectrum estimation of harmonic signals, Signal Process. Lett., Vol. 2, pp. 213–215, 1995. [8] Hayes, M.S., Statistical Digital Signal Processing and Modeling, John Wiley & Sons, ... n      2 (14.70) c  1999 by CRC Press LLC Djuric, P.M. & Kay S.M. “Spectrum Estimation and Modeling” Digital Signal Processing Handbook Ed. Vijay K. Madisetti and Dougla...

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... Rao, C.R., Effects of estimated noise covariance matrix in optimal signal detection, IEEE Trans. on Acoustics, Speech, and Signal Processing, ASSP-35(5), 671–679, May 1987. [21] Cai, L.andWang, ... algorithm, Proc. Signal and Data Processing of Small Targets, SPIE Proc. Series, Vol. 1305, Paper 16, 180–192, Orlando, FL, April 16-18, 1990. [27] Wang, H. and Cai, L., On adaptive multi...

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... IntroductionandMotivation Thischapterreviewstheapplicationsofantennaarraysignalprocessingtomobilenetworks.Cellular networksarerapidlygrowingaroundtheworldandanumberofemergingtechnologiesareseentobe criticaltotheirimprovedeconomicsandperformance.Amongtheseistheuseofmultipleantennas andspatialsignalprocessingatthebasestation.ThistechnologyisreferredtoasSmartAntennasor, moreaccurately,asSpace-Ti...

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... extending this concept to the signal subspace [8]. By sphericalizing and deflating both the signal and the noise subspaces, the cost of tracking the r dimensional signal (or noise) subspace is ... 1995. [35] Reddy, V.U., Mathew, G. and Paulraj, A., Some algorithms for eigensubspaceestimation, Digital Signal Processing, 5, 97–115, 1995. [36] Regalia, P.A. and Loubaton, P., Rational...

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... of three compo- nents: the signal y m (n) that is modeled by the adaptive filter, the signal y u (n) that is unmodeled but that depends on the input signal, and the signal v(n) that is independent ... lim n→∞ E{W(n)} . (23.14) c  1999 by CRC Press LLC Williamson, G.A. “Adaptive IIR Filters” Digital Signal Processing Handbook Ed. Vijay K. Madisetti and Douglas B. Williams Boca R...

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... Ling, F., and Nikias, C.L., Advanced Digital Signal Processing , Macmillan Publishing, New York, 1992. [3] Widrow, B. and Stearns, S.D., Adaptive Signal Processing , Prentice-Hall, Englewood ... CRC Press LLC Sayed, A.H. & Rupp, M. “Robustness Issues in Adaptive Filtering” Digital Signal Processing Handbook Ed. Vijay K. Madisetti and Douglas B. Williams Boca Raton: CRC P...

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... (19.2) whereW(n)=[w 0 (n)w 1 (n)···w L−1 (n)] T isthecoefficientvector,X(n)=[x(n)x(n− 1)···x(n−L+1)] T istheinputsignalvector,d(n)isthedesiredsignal,e(n)istheerrorsignal, andµ(n)isthestepsize. TherearethreemainreasonswhytheLMSadaptivefilterissopopular.First,itisrelativelyeasyto implementinsoftwareandhardwareduetoitscomputationalsimplicityandefficientuseofmemory. Second,itperformsrobustlyinthepr...

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... Temporal Signals in Gaussian Noise Signal Detection: Known Gains • Signal Detection: Unknown Gains • Signal Detection: Random Gains • Signal Detection: Single Signal 13.6 Spatio-Temporal Signals Detection: ... SpatialCovariance 13.7 Signal Classification Classifying Individual Signals • Classifying Presence of Multi- ple Signals References 13.1 Introduction Detection and classificat...

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... loop configuration. c  1999 by CRC Press LLC Singer, A.C. Signal Processing and Communication with Solitons” Digital Signal Processing Handbook Ed. Vijay K. Madisetti and Douglas B. Williams Boca ... as signals and consider exploiting some of their rich signal properties in a signal processing or communication context. This perspective is illustrated graphically in Fig. 75.3,...

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