... REAL-TIME DIGITALSIGNAL PROCESSING 1Introduction to Real-Time Digital Signal Processing Signals can be divided into three categories ± continuous-time (analog) signals,discrete-time signals, and digital ... design and implement digital systems for processingdigital signals using digital hardware. However, the analysisof such signals and systems usually uses discrete-time signals and systems for ... term `discrete-time' and `digital& apos; inter-changeably. Digital signalprocessing (DSP) is concerned with the digital representation of signalsand the use of digital hardware to analyze,...
... 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 SignalProcessing HandbookEd. Vijay K. Madisetti and Douglas B. WilliamsBoca Raton: CRC Press...
... array signalprocessing 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 signalprocessing ... via Unitary ESPRIT,IEEE Trans. Signal Processing, 44, 316–328, Feb. 1996.[25] Zoltowski, M.D.,Kautz,G.M.andSilverstein,S.D.,Beamspaceroot-MUSIC,IEEETrans .Signal Processing, 41, 344–364, Jan. ... 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,...
... Estimation of signal parameters via rotational invariancetechniques-ESPRIT,Proc. 19th Asilomar Conf. on Signals, Systems, and Computers,Asilomar,CA, Nov. 1985.[24] Pillai, S.U.,Array Signal Processing, Springer-Verlag, ... Speech, Signal Processing, ASSP-33(2), 806–811,Aug. 1985.[32] Stoica, P. and Nehorai, A., MUSIC, maximum likelihood and Cramer-Rao bound: Furtherresults and comparisons,IEEE Trans. on Signal Processing, 38, ... fitting,IEEE Trans. on Signal Processing, 39(11), 2436–2448, Nov. 1991.[35] Viberg, M. and Ottersten, B., Sensor array processing based on subspace fitting,IEEE Trans.on Signal Processing, 39(5), 1110–1120,...
... 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 ... y(n) is computed. The output signal iscompared to a second signal d(n), called the desired response signal, by subtracting the two samplesat time n. This difference signal, given bye(n) = d(n) ... consult journals such as the IEEE Transactions on Signal Processing as well as the proceedings of yearly conferences and workshops in the signalprocessing and relatedfields.References[1] Kuo,...
... models of stationary random processes, whether signal or noise, have been foundto be useful in a wide variety of signalprocessing tasks such as signal detection, estimation, filtering,and classification, ... N.(16.30)c1999 by CRC Press LLC [17] Kassam, S.A., Signal Detection in Non-Gaussian Noise,Springer-Verlag, New York, 1988.[18] Shao, M. and Nikias, C.L., Signalprocessing with fractional lower order moments: ... fitting.c1999 by CRC Press LLC Tugnait, J.K. “Validation, Testing, and Noise Modeling” Digital SignalProcessing HandbookEd. Vijay K. Madisetti and Douglas B. WilliamsBoca Raton: CRC Press...
... REAL-TIME DIGITALSIGNAL PROCESSING 1Introduction to Real-Time Digital Signal Processing Signals can be divided into three categories ± continuous-time (analog) signals,discrete-time signals, and digital ... design and implement digital systems for processingdigital signals using digital hardware. However, the analysisof such signals and systems usually uses discrete-time signals and systems for ... term `discrete-time' and `digital& apos; inter-changeably. Digital signalprocessing (DSP) is concerned with the digital representation of signalsand the use of digital hardware to analyze,...
... 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 ... thesemethods demand a lot of memory and processing power. RAP operates on only one row at a time,which makes it a useful sample-by-sample method in adaptive signal processing. Further, the matrixA ... for speech processing, Intl. Symp. Signals,Syst. Electron.,San Francisco, CA, 1995.[23] Miyoshi, M. and Kaneda, Y., Inverse filtering of room acoustics,IEEE Trans. Acoustics, Speech, Signal Process.,36(2),...
... Trussell, H.J., Digitalsignal 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, ... asf†=HTH−1HTg = H†g,(25.32)c1999 by CRC Press LLC Podilchuk, C. Signal Recovery from Partial Information” Digital SignalProcessing HandbookEd. Vijay K. Madisetti and Douglas B. WilliamsBoca ... 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...
... Elementary Digital SignalsThere are several ways to describe signals. For example, signals encountered in com-munications are classified as deterministic or random. Deterministic signals are ... the input signal, andynxn À 13:1:12is the output signal, which is the input signal delayed by one unit (a sampling period).In fact, the signal xn À 1 is actually the stored signal x(n) ... equation of the digital systemexpressed asynbxnÀayn À 1, 3:2:16where each output signal yn is dependent on the current input signal xn and theprevious output signal yn À 1....
... on Applications of Signal Processing to Audio and Acoustics,1989.[17] Sinha,D.andTewfik,A.H.,Lowbitratetransparentaudiocompressionusingadaptedwavelets,IEEE Trans. Signal Processing, 41(12), ... typical (trumpet) signal. The staircase curve is thecalculated perceptual threshold, and thevarying curve is the short-term spectrum of the trumpet signal. Note that a great deal of the signal is below ... Filterbank — Converts the input signal into a form that extracts redundancies and issuitable for perceptual processing. ã Perceptual model Determines the irrelevancies in the signal, generates a perceptualthreshold,...
... windowsbecauseofitsnear-optimaltransitionbandslopeandgoodultimaterejectioncharacteristic. Ascalarc1999 by CRC Press LLC Davidson, G.A. Digital Audio Coding: Dolby AC-3” Digital SignalProcessing HandbookEd. Vijay K. Madisetti and Douglas B. WilliamsBoca ... audiocompressionalgorithmsistomaximallyreducetheamountofdigitalinformation(bit-rate)requiredfor conveyance of an audio signal while rendering differences between the original and decodedsignals inaudible. Digital audio compressionisusefulwhereverthereisaneconomicbenefitrealizedbyreducingthebit-rate. ... OverviewInordertomoreefficientlytransmitorstorehigh-quality audio signals, it is oftendesirabletoreducethe amount of information required to represent them. In the case of digital audio signals, theamount of binary information...
... 5-channel signal, and a subsequentdown-mixingofthelatteroneintoa2-channelsignal[55]. The2-channelsignal, threecontributionsfromthe 5-channel signal, and two contributions from the 7-channel signal ... uses the 2-channel signal directly, or it employs matrixing to reconstruct 5-or7-channelsignals. Otherformats arepossible, suchasstoringa 5-channelsignalandan additionalstereosignalinsimulcastmode,withoutdown-mixingthestereosignalfromthemultichannelsignal.A ... and Signal Process., ASSP-34, 1153–1161, 1986.[22] Malvar, H.S., Signal Processing with Lapped Transforms, Artech House, 1992.[23] Yeoh, F.S. and Xydeas, C.S., Split-band coding of speech signals...