Tài liệu Digital Signal Processing P2 ppt

... except that the signal is shifted to the right by no = 2 compared to the periodic sequence in part (a). This sequence is shown in the figure below: 1.9 The power in a real-valued signal x(n) ... signal (i.e., evaluate the sum) This is a direct application of the geometric series With the substitution of -n for n we have Therefore, it follows from the geometric series that SIGNALS ... whether or not the system is (a) linear, (b) shift-invariant, (c) stable, (d) causal. SIGNALS AND SYSTEMS [CHAP. I (a) The first thing that we should observe about y(n) is that it...

... except that the signal is shifted to the right by no = 2 compared to the periodic sequence in part (a). This sequence is shown in the figure below: 1.9 The power in a real-valued signal x(n) ... signal (i.e., evaluate the sum) This is a direct application of the geometric series With the substitution of -n for n we have Therefore, it follows from the geometric series that SIGNALS ... whether or not the system is (a) linear, (b) shift-invariant, (c) stable, (d) causal. SIGNALS AND SYSTEMS [CHAP. I (a) The first thing that we should observe about y(n) is that it...

... Trans. on Signal Processing, submitted Nov. 1995.[2] Barroso, V.A.N. and Moura, J.M.F.,l2andl1Beamformers: recursive implementation andperformance analysis,IEEE Trans. on Signal Processing, SP-42(6), ... C.B., Array processing for mobile communications, Chapter 68 inthis book.[12] Pillai, S.U.,Array Signal Processing, Springer-Verlag, 1989.[13] Schmidt,R.O., Multipleemitter location andsignal ... V.A.M. & Moura, J.M.F. “Beamforming with Correlated Arrivals in Mobile Communications” Digital Signal Processing HandbookEd. Vijay K. Madisetti and Douglas B. WilliamsBoca Raton: CRC Press...

... array signal processing in thebeamspace domain for low-angle radar tracking,IEEE Trans. Signal Processing, 39, 656–671,Mar. 1991.[27] Zoltowski, M.D. and Stavrinides, D., Sensor array signal processing ... Signal Processing Letters,3, 124–126,Apr. 1996.[15] Mathews, C.P. and Zoltowski, M.D., Eigenstructure techniques for 2-D angle estimation withuniform circular arrays,IEEE Trans. Signal Processing, 42, ... ESPRIT,IEEETrans. Signal Processing, 40, 867–881, Apr. 1992.[23] Xu, G., Roy, R.H. and Kailath, T., Detection of number of sources via exploitation of centro-symmetry property,IEEE Trans. Signal Processing, 42,...

... cumulants,IEEE Trans. on Signal Processing, 43(1), 214–224,Jan. 1995.[3] Chen, Y.H. and Lin, Y.S., A modified cumulant matrix for DOA estimation,IEEE Trans. on Signal Processing, 42, 3287–3291, ... to array processing, Part II: Non-Gaussian noise suppression,IEEE Trans. on Signal Processing, 43(7), 1661–1676, July 1995.[7] Dogan, M.C. and Mendel, J.M., Method and apparatus for signal analysis ... Unified analysis for DOA estimation algorithms in array signal process-ing, Signal Processing, 25(2), 147–169, Nov. 1991.[18] Marple, S.L., Digital Spectral Analysis with Applications,Prentice-Hall,...

... desired response signal d(n) consists of a sum of a broadband signal and a nearly periodic signal, and it is desired to separate these two signals without specific knowledgeabout the signals (such ... received, the signal is synthesized using the filter coefficients and the additional signal information provided for the given block of data.When applied to speech signals, this method of signal encoding ... input signal x(n) isderived from the desired response signal asx(n) = d(n − ) ,(18.13)where  is an integer value of delay. In effect, the input signal serves as the desired response signal, and...

... models of stationary random processes, whether signal or noise, have been foundto be useful in a wide variety of signal processing tasks such as signal detection, estimation, filtering,and classification, ... statistics,IEEETrans. Signal Process.,SP-42: 1728-1736, July, 1994.[6] Tugnait, J.K., Detection of non-Gaussian signals using integrated polyspectrum,IEEE Trans. Signal Process.,SP-42: ... Nov., 1994. (Corrections inIEEE Trans. Signal Process.,SP-43. Nov., 1995.)[7] Tugnait, J.K., Testing forlinearity of noisystationary signals,IEEE Trans .Signal Process.,SP-42:2742-2748, Oct.,...

... s(n))2(32.35)where s(n) is the input speech signal and y(n) is the output speech signal. The two signals aresufficiently staggered to account for the delay in the processing. The signal- to-noise-ratios were ... IEEE Conf. Acoustics, Speech, Signal Process.,1144–1147, 1983.[6] Stockham, T.G., Cannon, T.M. and Ingebresten, B.R., Blind deconvolution through digital signal processing, Proc. IEEE,63(4), ... Introduction:DereverberationUsingMicrophoneArraysAnacousticenclosureusuallyreducestheintelligibilityofthespeechtransmittedthroughitbecausethetransmissionpathisnotideal.Apartfromthedirectsignalfromthesource,thesoundisalsoreflectedoffoneormoresurfaces(usuallywalls)beforereachingthereceiver.Theresultingsignalcanbeviewedastheoutputofaconvolutioninthetimedomainofthespeechsignalandtheroomimpulseresponse.Thisphenomenonaffectsthequalityofthetransmittedsoundinimportantapplicationssuchasteleconferencing,cellulartelephony,andautomaticvoiceactivatedsystems(speakerandspeechrecognizers).Roomreverberationcanbeperceptuallyseparatedintotwobroadclasses.Earlyroomechoesaremanifestedasirregularitiesor“ripples”intheamplitudespectrum.Thiseffectdominatesinsmallrooms,typicallyoffices.Long-termreverberationistypicallyexhibitedasanecho“tail”followingthedirectsound[1].IfthetransferfunctionG(z)ofthesystemisknown,itmightbepossibletoremovethedeleteriousmulti-patheffectsbyinversefilteringtheoutputusingafilterH(z)whereH(z)=1G(z)....

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... Podilchuk, C. Signal Recovery from Partial Information” Digital Signal Processing HandbookEd. Vijay K. Madisetti and Douglas B. WilliamsBoca ... Trussell, H.J., Digital signal restoration using fuzzy sets,IEEE Trans. Acous-tics, Speech, Signal Process.,34, 919–936, 1986.[14] Trussell, H.J.andCivanlar, M.R.,Thefeasiblesolutioninsignalrestoration,IEEETrans.Acoust.,Speech, ... Formulation of the Signal Recovery Problem Signal recovery can be viewed as an estimation process in which operations are performed on anobserved signal in order to estimate the ideal signal that would...