Signal processing Part 18 doc

... injecting the signal through the bone or when the signal is going to face an air-tissue interface before entering the VT are not promising options. Nevertheless, the task of signal injection ... indicates the phase difference between the incident and reflected signal to be 180 degrees. Theuseoflow-frequencyultrasonicsinspeech processing 507 application to acoustic waves to (Karal & ... three dimensional coordinates vector and  is the speed of sound. RecentAdvancesin Signal Processing5 18 Fig. 3. A cut-away diagram of the human speech production mechanism, namely the...

... noise-free part, that is a term without randomvariables V or W, and a random noisy part. 3.2 Decomposition of the cost function into a noise-free part and a noisy part Recall that the noise-free part ... 0.0312 0.0 218 0. 0183 0.0156 0.0121(A2) 0.0399 0.0383 0.0362 0.0364 0.0364(A3) 0.0325 0.0232 0.0212 0. 0183 0.0158(A4) 0.0322 0.0219 0.0192 0.0168 0.0126σ2= 10−2(A1) 0.0296 0.0 218 0.0172 ... 0.0312 0.0 218 0. 0183 0.0156 0.0121(A2) 0.0399 0.0383 0.0362 0.0364 0.0364(A3) 0.0325 0.0232 0.0212 0. 0183 0.0158(A4) 0.0322 0.0219 0.0192 0.0168 0.0126σ2= 10−2(A1) 0.0296 0.0 218 0.0172...

... Signal Processing3 96 Signal Processing4 003. Phase-based correlationTwo phase-based correlations, POC and DCT-SPC, ... phase-scrambled signals and DCT-SPCIn this section, we explain sign phase-scrambled signals and their matching for DCT-SPC.The DCT signs express the phases of signals in the transform domain (18) . We ... phase-scrambled signals and DCT-SPCIn this section, we explain sign phase-scrambled signals and their matching for DCT-SPC.The DCT signs express the phases of signals in the transform domain (18) . We...

... Signals and Signal Processing Digital Signal Processing HandbookEd. Vijay K. Madisetti and Douglas B. WilliamsBoca Raton: CRC Press LLC, 1999c1999byCRCPressLLC71Chaotic Signals and Signal Processing Alan ... signal processing applications.In classical signal processing a rich set of tools has evolved for processing signals that are deter-ministic and predictable such as transient and periodic signals, ... Chaotic Signals in CommunicationsChaotic systems provide a rich mechanism for signal design and generation, with potential appli-cations to communications and signal processing. Because chaotic signals...

... detection problemhave appeared in signal processing journals such as the IEEE Transactions on Signal Processing. Moreadvanced topicsthat have been addressed in the signal processing literature but not ... by the signal- plus-noise subspace eigenvectors contains the signals and a portionof the noise while the noise subspace contains only that part of the noise that is orthogonal to thesignals ... Theory, Part I,John Wiley & Sons,New York, 1968.[8] Wax, M. and Kailath, T., Detection of signals by information theoretic criteria,IEEE Trans.Acoustics, Speech, and Signal Processing, ASSP-33,...

... SSTSource(DSTModel)AnalysisConsidertheMSAEforasinglesignaltransmissionsourcewhentheestimationisdoneundertheassumptionthatthesourceisofadualsignaltransmissiontype.Inthiscase,themodel(65.10)hastobeusedbutwithasignalintheformof(65.13).ThesignalcovarianceisthenP=σ2sQw(Qw)∗(65.32)whereσ2s=Es2(t)andQandwaredefinedinEq.(65.12).Thus,rankP=1andPhasaunitnormeigenvectorQwwithaneigenvalueσ2s.Letσ2=σ2E·σ2Hσ2E+σ2H(65.33)Thevarianceσ2canbeviewedasanequivalentnoisevarianceoftwomeasurementswithindependentnoisevariancesσ2Eandσ2H.Define,σ2s/σ2,whichisaneffectiveSNR.UsingtheanalysisofUin[1]andexpression(65.31)wefindthatMSAESCR=(1+)(σ2E+σ2H)222σ2Eσ2H+(σ2E−σ2H)2sin2θ4cos2θ4=(1+)(1+r2)222r2+(1−r2)2sin2θ4cos2θ4 ... E., Acoustic vector-sensor array processing, IEEE Trans. on Signal Processing, SP-42, 2481–2491, Sept. 1994. A short version appeared inProc. 26th AsilomarConf. Signals, Syst. Comput.,Pacific ... of transmissions: (1) Single signal transmission (SST), in which a single signal message istransmitted, and(2)dual signal transmission (DST), in whichtwoseparate signal messagesare transmitted...

... LMS algorithm,IEEETrans. Acoust., Speech, Signal Process.,Vol. ASSP-34, 499–510, June 1986. [18] Regalia, P.A.,Adaptive IIR Filtering in Signal Processing and Control,Marcel Dekker, NewYork, ... two-dimensional adaptive signal processing, Ph.D.dissertation, University of Illinois at Urbana-Champaign, 1995.[22] Widrow, B. and Stearns, S.D.,Adaptive Signal Processing, Prentice-Hall, ... wellsuited to2-D signal processing. Orthogonal transforms withpower normalization can be used to accelerate the convergence of an adaptive filter in the presenceof a colored input signal. The 2-D...

... and Signal Processing, ASSP-34(6), 1589–1602, Dec. 1986.[20] Bojanczyk, A.W. and Steinhardt, A.O., Stabilized hyperbolic householder transformations,IEEE Trans. Acoustics, Speech, and Signal Processing, ASSP-37(8), ... Trans. Signal Processing, SP-40(5), 1151–1167,May 1992.More discussion and examples of elementary and square-root free rotations and Householder trans-formations can be found in: [18] Golub, ... fastsequentialalgorithm for leastsquaresfiltering and prediction,IEEE Trans. Acoustics, Speech, and Signal Processing, ASSP-31(6),1394–1402, Dec. 1983.[12] Cioffi, J., and Kailath, T., Fast recursive-least-squares...

... signals,IEEE Trans. on Signal Processing, 131–146, 1993.[58] Schell, S.V., An overview of sensor array processing for cyclostationary signals, inCyclostation-arity in Communications and Signal ... Control and Signal Processing, 10, 159–176, 1996.[63] Tsatsanis, M.K. and Giannakis, G.B., Optimal linear receivers for DS-CDMA systems: a signal processing approach,IEEE Trans. on Signal Processing, 44, ... stationary signals and time-invariant systems. CS signal analysis exploits two extra features not available with scalar stationary signal processing, namely:(1) ability to separate signals on...