Tài liệu Digital Signal Processing Handbook P13 pdf

... Temporal Signals in Gaussian Noise Signal Detection: Known Gains• Signal Detection: UnknownGains• Signal Detection: Random Gains• Signal Detection:Single Signal 13.6 Spatio-Temporal SignalsDetection: ... SpatialCovariance13.7 Signal ClassificationClassifying Individual Signals•Classifying Presence of Multi-ple SignalsReferences13.1 IntroductionDetection and classification arise in signal processing ... shown in Figs. 13.3 and 13.4.c1999 by CRC Press LLCHero, A. Signal Detection and Classification” Digital Signal Processing Handbook Ed. Vijay K. Madisetti and Douglas B. WilliamsBoca Raton:...

... 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 multiband signal detection ... 8-10, 1996.[6] Staudaher, F.M., Airborne MTI,Radar Handbook, Skolnik, M.I., Ed., McGraw-Hill, New York,1990, chap. 16.[7] Wang, H.,Space-Time Processing and Its Radar Applications,Lecture Notes...

... IntroductionandMotivationThischapterreviewstheapplicationsofantennaarraysignalprocessingtomobilenetworks.Cellularnetworksarerapidlygrowingaroundtheworldandanumberofemergingtechnologiesareseentobecriticaltotheirimprovedeconomicsandperformance.Amongtheseistheuseofmultipleantennasandspatialsignalprocessingatthebasestation.ThistechnologyisreferredtoasSmartAntennasor,moreaccurately,asSpace-TimeProcessing(STP).STPreferstoprocessingtheantennaoutputsinbothspaceandtimetomaximizesignalquality.Acellulararchitectureisusedinanumberofmobile/portablecommunicationsapplications.Cellsizesmayrangefromlargemacrocells,whichservehighspeedmobiles,tosmallermicrocellsorverysmallpicocells,whicharedesignedforoutdoorandindoorapplications.Eachoftheseoffersdifferentchannelcharacteristicsand,therefore,posesdifferentchallengesforSTP.Likewise,differentservicedeliverygoalssuchasgradeofserviceandtypeofservice:voice,data,orvideo,alsoneedspecificSTPsolutions.STPprovidesthreeprocessingleverages.Thefirstisarraygain.Multipleantennascapturemoresignalenergy,whichcanbecombinedtoimprovethesignal-to-noiseratio(SNR).Nextisspatialdiversitytocombatspace-selectivefading.Finally,STPcanreduceco-channel,adjacentchannel,andinter-symbolinterference.Theorganizationofthischapterisasfollows.InSection68.2,wedescribethevectorchannelmodelforabasestationantennaarray.InSection68.3wediscussthealgorithmsforSTP.Section68.4outlinestheapplicationsofSTPincellularnetworks.Finally,weconcludewithasummaryinSection68.5.c1999byCRCPressLLCxi(t) ... the blindidentification of multichannel FIR filters,IEEE Trans. on Signal Processing, 1995.[29] Orfanidis, S.J.,Optimal Signal Processing – An Introduction,Macmillan Publishing Co., NewYork, ... constantmodulus signals: a bilinear approach, inProc. VII European Signal Processing Conference,Edinburgh, Scotland, Sept. 13-16, 1994.[33] Porat, B. and Friedlander, B., Blind equalization of digital...

... 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 subspaceestimation ... approachthat uses RLS techniques to updatethe signal subspace. The projection approximation subspace tracker (PAST) algorithm computes anarbitrary basis for the signal subspace in 3nr + O(r2) flops...

... of three compo-nents: the signal ym(n) that is modeled by the adaptive filter, the signal yu(n) that is unmodeled butthat depends on the input signal, and the signal v(n) that is independent ... limn→∞E{W(n)} .(23.14)c1999 by CRC Press LLCWilliamson, G.A. “Adaptive IIR Filters” Digital Signal Processing Handbook Ed. Vijay K. Madisetti and Douglas B. WilliamsBoca Raton: CRC Press LLC, ... systems,IEEETrans. Signal Processing, 41(2), 617–628, 1993.[14] Lin, J N. and Unbehauen, R., Bias-remedy least mean square equation error algorithm for IIRparameter recursive estimation,IEEE Trans. Signal Processing, 40(1),...

... 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 LLCSayed, A.H. & Rupp, M. “Robustness Issues in Adaptive Filtering” Digital Signal Processing Handbook Ed. Vijay K. Madisetti and Douglas B. WilliamsBoca Raton: CRC Press LLC, ... algorithms,IEEE Trans. Signal Processing , 44(8), 1982–1989, Aug. 1996.[19] Sayed, A.H. and Kailath, T., A state-space approach to adaptive RLS filtering,IEEE Signal Processing Magazine, 11(3),...

... (19.2)whereW(n)=[w0(n)w1(n)···wL−1(n)]Tisthecoefficientvector,X(n)=[x(n)x(n−1)···x(n−L+1)]Tistheinputsignalvector,d(n)isthedesiredsignal,e(n)istheerrorsignal,andµ(n)isthestepsize.TherearethreemainreasonswhytheLMSadaptivefilterissopopular.First,itisrelativelyeasytoimplementinsoftwareandhardwareduetoitscomputationalsimplicityandefficientuseofmemory.Second,itperformsrobustlyinthepresenceofnumericalerrorscausedbyfinite-precisionarithmetic.Third,itsbehaviorhasbeenanalyticallycharacterizedtothepointwhereausercaneasilysetupthesystemtoobtainadequateperformancewithonlylimitedknowledgeabouttheinputanddesiredresponsesignals.c1999byCRCPressLLC[22] Farden,D.C., Tracking properties of adaptivesignal processingalgorithms,IEEETrans.Acoust.,Speech, Signal Processing, ASSP-29(3), ... algorithms,IEEE Trans. Signal Processing, 41(9), 2811–2825, Sept. 1993.[25] Douglas, S.C. and Meng, T.H Y., Normalized data nonlinearities for LMS adaptation,IEEETrans. Signal Processing, 42(6), ... Contr. Signal Processing, 4(3), 219–216, May-June 1990.[28] Harris, R.W., Chabries, D.M., and Bishop, F.A., A variable step (VS) adaptive filter algorithm,IEEE Trans. Acoust., Speech, Signal Processing, ASSP-34(2),...

... 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 LLCDjuric, P.M. & Kay S.M. “Spectrum Estimation and Modeling” Digital Signal Processing Handbook Ed. Vijay K. Madisetti and Douglas B. WilliamsBoca Raton: CRC Press LLC, ... which plays a majorrole in many applied sciences such as radar, speech processing, underwater acoustics, biomedical signal processing, sonar, seismology, vibration analysis, control theory, and...

... loop configuration.c1999 by CRC Press LLCSinger, A.C. Signal Processing and Communication with Solitons” Digital Signal Processing Handbook Ed. Vijay K. Madisetti and Douglas B. WilliamsBoca ... as signals and consider exploiting some of theirrich signal properties in a signal processing or communication context. This perspective is illustratedgraphically in Fig. 75.3, where a signal ... are naturally suited to such signal processing tasks as signal separation or sorting. As we shall see, these systems also form an effective means of generatingsoliton signals.75.3.1 Toda Circuit...