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Tài liệu Digital Signal Processing Handbook P70 pdf
... 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 ... for adaptive suppression, free from strong cluttercontamination. Available acquisition methods include the use of clutter -free range-cells for low PRFsystems, clutter -free Doppler bins for high...
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Tài liệu Digital Signal Processing Handbook P68 pdf
... multiusercommunications,IEEE Trans. on Signal Processing, Special Issue on Signal Processing forAdvanced Communications,45(1), Jan. 1997.[10] Ding, Z., Blind channel identification and equalization using spectral ... IntroductionandMotivationThischapterreviewstheapplicationsofantennaarraysignalprocessingtomobilenetworks.Cellularnetworksarerapidlygrowingaroundtheworldandanumberofemergingtechnologiesareseentobecriticaltotheirimprovedeconomicsandperformance.Amongtheseistheuseofmultipleantennasandspatialsignalprocessingatthebasestation.ThistechnologyisreferredtoasSmartAntennasor,moreaccurately,asSpace-TimeProcessing(STP).STPreferstoprocessingtheantennaoutputsinbothspaceandtimetomaximizesignalquality.Acellulararchitectureisusedinanumberofmobile/portablecommunicationsapplications.Cellsizesmayrangefromlargemacrocells,whichservehighspeedmobiles,tosmallermicrocellsorverysmallpicocells,whicharedesignedforoutdoorandindoorapplications.Eachoftheseoffersdifferentchannelcharacteristicsand,therefore,posesdifferentchallengesforSTP.Likewise,differentservicedeliverygoalssuchasgradeofserviceandtypeofservice:voice,data,orvideo,alsoneedspecicSTPsolutions.STPprovidesthreeprocessingleverages.Therstisarraygain.Multipleantennascapturemoresignalenergy,whichcanbecombinedtoimprovethesignal-to-noiseratio(SNR).Nextisspatialdiversitytocombatspace-selectivefading.Finally,STPcanreduceco-channel,adjacentchannel,andinter-symbolinterference.Theorganizationofthischapterisasfollows.InSection68.2,wedescribethevectorchannelmodelforabasestationantennaarray.InSection68.3wediscussthealgorithmsforSTP.Section68.4outlinestheapplicationsofSTPincellularnetworks.Finally,weconcludewithasummaryinSection68.5.c1999byCRCPressLLC ... Paulraj, A., A constant modulus algorithm for multi-user signal separationin presenceof delayspread using antenna arrays,IEEE Signal Processing Letters,4(6): 178–181,June 1997.[32] Papadias,...
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Tài liệu Digital Signal Processing Handbook P66 pdf
... Some algorithms for eigensubspaceestimation, Digital Signal Processing, 5, 97–115, 1995.[36] Regalia, P.A. and Loubaton, P., Rational subspaceestimation using adaptivelossless filters,IEEETrans. ... 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 ... the signal subspace is not sphericalized andall of its eigencomponents are explicitly tracked whereas the noise subspace is sphericalized and notexplicitly tracked (to save computation). Using...
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Tài liệu Digital Signal Processing Handbook P23 pdf
... 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 ... 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), ... Trans. Acoustics, Speech, Signal Processing, 38(7), 1222–1227,1990.[17] Regalia, P.A., Stable and efficient latticealgorithms for adaptive IIR filtering,IEEE Trans .Signal Processing, 40(2), 375–388,...
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Tài liệu Digital Signal Processing Handbook P20 pdf
... 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 ... the signals {wi1,à(i) r(i)} tothe signals {wi,à(i) ea(i)}. Correspondingly, using (20.12), the map from the original weighteddisturbanceà(i)v(i) to the weighted estimation error signal à(i)ea(i) ... 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),...
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Tài liệu Digital Signal Processing Handbook P19 pdf
... (19.2)whereW(n)=[w0(n)w1(n)ÃÃÃwL1(n)]Tisthecoefcientvector,X(n)=[x(n)x(n1)ÃÃÃx(nL+1)]Tistheinputsignalvector,d(n)isthedesiredsignal,e(n)istheerrorsignal,andà(n)isthestepsize.TherearethreemainreasonswhytheLMSadaptivelterissopopular.First,itisrelativelyeasytoimplementinsoftwareandhardwareduetoitscomputationalsimplicityandefcientuseofmemory.Second,itperformsrobustlyinthepresenceofnumericalerrorscausedbynite-precisionarithmetic.Third,itsbehaviorhasbeenanalyticallycharacterizedtothepointwhereausercaneasilysetupthesystemtoobtainadequateperformancewithonlylimitedknowledgeabouttheinputanddesiredresponsesignals.c1999byCRCPressLLC [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),...
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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, ... performance of some other signal and noise subspace based methods developed later.14.5.5 Multiple Signal Classification (MUSIC)A procedure very similar to Pisarenko’s is the MUltiple SIgnal Classification ... 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...
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Tài liệu Digital Signal Processing Handbook P13 pdf
... Temporal Signals in Gaussian Noise Signal Detection: Known Gainsã Signal Detection: UnknownGainsã Signal Detection: Random Gainsã Signal Detection:Single Signal 13.6 Spatio-Temporal SignalsDetection: ... SpatialCovariance13.7 Signal ClassicationClassifying Individual SignalsãClassifying Presence of Multi-ple SignalsReferences13.1 IntroductionDetection and classification arise in signal processing ... incorporate nonzeromean [14, 15].13.7 Signal ClassificationTypical classification problems arising in signal processing are: classifying an individual signal wave-form out of a set of possible...
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Tài liệu Digital Signal Processing Handbook P75 pdf
... 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 ... new circuit for communication using solitons, inProc. IEEE Workshop onNonlinear Signal and Image Processing, vol. I, 150–153, 1995.[14] Singer, A.C., Signal Processing and Communication with ... a loop configuration.c1999 by CRC Press LLC Singer, A.C. Signal Processing and Communication with Solitons” Digital Signal Processing HandbookEd. Vijay K. Madisetti and Douglas B. WilliamsBoca...
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Tài liệu Digital Signal Processing Handbook P31 pdf
... algorithm for stable decision-feedback filtering,IEEE Trans. Circuits Syst. II: Analog and Digital Signal Processing, 40 CAS-II, Jan. 1993.c1999 by CRC Press LLC pulse shaping filter, the modulator, ... by CRC Press LLC Doherty, J.F. “Channel Equalization as a Regularized Inverse Problem” Digital Signal Processing HandbookEd. Vijay K. Madisetti and Douglas B. WilliamsBoca Raton: CRC Press ... in Fig. 31.3 using the eigenvaluesof X given by σ2i=(1 − (i − 1)/10)2for 1 ≤ i ≤ 10 and σ211= 0. The RLS algorithm exhibitslarge dynamic range in the eigenvalue inverse using the matrix...
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Tài liệu Digital Signal Processing Handbook P27 pdf
... Speech Processing as an Inverse Problem” Digital Signal Processing HandbookEd. Vijay K. Madisetti and Douglas B. WilliamsBoca Raton: CRC Press LLC, 1999c1999byCRCPressLLC 27Robust Speech Processing ... Acoust.,Speech, Signal Processing, 29, 254–272, April 1981.[7] Boll, S.F., Suppression of acoustic noise in speech using spectral subtraction,IEEE Trans.Acoust., Speech, Signal Processing, 27, ... and Co., Gravenhage, The Nether-lands, 1960.[3] Rabiner, L.R. and Schafer, R.W., Digital Processingof Speech Signals,Prentice-Hall, EnglewoodCliffs, NJ, 1978.[4] Atal, B.S., Effectiveness...
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Tài liệu Digital Signal Processing Handbook P36 pdf
... Systems,1976.[19] Crochiere, R.E. and Rabiner, L.R.,Multirate Digital Signal Processing, Prentice-Hall, Engle-wood Cliffs, NJ, 1983.[20] Malvar, H.S., Signal Processing with Lapped Transforms, Artech House, ... Acoustics, Speech, and Signal Processing, IV,617–620, March 1992.[5] Schuller, G. and Smith, M.J.T., A new framework for modulated perfect reconstruction filterbanks,IEEE Trans. Signal Processing, August ... Acoustics, Speech, Signal Processing, 1991.[22] Rothweiler, J., Polyphase quadrature mirror filters—anewsub-band coding technique,Proc.IEEE Intl. Conf. Acoustics, Speech, Signal Processing, 1983.[23]...
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Tài liệu Digital Signal Processing Laboratory - Using Matlab doc
... Signalsin the Time Domain11.1 Introduction Digital signal processing is concerned with the processing of a discrete-time signal, calledthe input signal, to develop another discrete-time signal, ... .Project 1.5 Signal SmoothingA common example of a digital signal processing application is the removal of the noisecomponent from a signal corrupted by additive noise. Let s[n] be the signal corrupted ... indicated earlier, the purpose of digital signal processing is to generate a signal withmore desirable properties from one or more given discrete-time signals. The processing algorithm consists...
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Mathematical Summary for Digital Signal Processing Applications with Matlab pdf
... Mathematical Summary for Digital Signal Processing Applications with Matlab Dedicated to my son G.V. Vasig and my wifeG. Viji Contents1 Matrices ... 1.12.A D24123 4557 126 7 10 1635 E.S. GopiMathematical Summaryfor Digital Signal Processing Applications with Matlab 123 1.15 Solutions for the System of Linear Equation [A] x Db 352445635T0@b2414253635Äcx1bx21AD ... (Representing all the variablesin terms of free variables), it can be shown that dimension of the Null space of thematrix A is equal to the number of free variable columns of the matrix A. This...
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