LECTURE DIGITAL SIGNAL PROCESSING

Wornell, G.W. “Fractal Signals”Digital Signal Processing HandbookEd. Vijay K. Madisetti and Douglas B. WilliamsBoca Raton: CRC Press LLC, 1999c1999byCRCPressLLC73Fractal SignalsGregory W. WornellMassachusetts Institute of Technology73.1 Introduction73.2 Fractal Random Processes[r]

Hindawi Publishing CorporationEURASIP Journal on Embedded SystemsVolume 2007, Article ID 27517, 1 pagedoi:10.1155/2007/27517EditorialEmbedded Digital Signal Processing SystemsJarmo Takala,1Shuvra S. Bhattacharyya,2and Gang Qu21Institute of Digital and Computer Systems, Ta[r]

Doherty, J.F. “Channel Equalization as a Regularized Inverse Problem”Digital Signal Processing HandbookEd. Vijay K. Madisetti and Douglas B. WilliamsBoca Raton: CRC Press LLC, 1999c1999byCRCPressLLC31Channel Equalization as aRegularized Inverse ProblemJohn F. DohertyPennsylvani[r]

Tugnait, J.K. “Validation, Testing, and Noise Modeling”Digital Signal Processing HandbookEd. Vijay K. Madisetti and Douglas B. WilliamsBoca Raton: CRC Press LLC, 1999c1999byCRCPressLLC16Validation, Testing, and NoiseModelingJitendra K. TugnaitAuburn University16.1 Introduction1[r]

exp5c.cexp5.cmdsignal_gen.cfir.asmfir2macs.asmfirsymm.asminput5.datChapter 6exp6a.cexp6b.cReal-Time Digital Signal Processing. Sen M Kuo, Bob H LeeCopyright # 2001 John Wiley & Sons LtdISBNs: 0-470-84137-0 (Hardback); 0-470-84534-1 (Electronic)exp6c.cexp6d.ciir.ciir_i1.c[r]

is usually the DCT while the other factors (Uiand Vi)are found through optimization routines. More details on GenLOTs and their design can be foundin [17, 19, 20]. The implementation flow-graph of a GenLOT with M = 8 is shown in Fig. 38.4.38.4 RemarksWehopethisintroductory work is helpful in understa[r]

Herman _University of Pennsylvania_ 26.1 Introduction 26.2 The Reconstruction Problem 26.3 Transform Methods 26.4 Filtered Backprojection FBP 26.5 The Linogram Method 26.6 Series Expansi[r]

kzknz−k.(27.8)There are two standard methods of solving for the predictor coefficients, ai, namely, the autocor-relation method and the covariance method [3, 4, 5, 6]. Both approaches are based on minimizingthe mean square value of the estimation error e(n) as given bye(n) = s(n) −pi=1ais(n− i) .(27[r]

at each sensor due to the angle of arrival of the wavefront may be found asφ =2πdλosin θ =ωodcsin θ.(30.3)Here, λois the wavelength of the signal at frequency foas defined byλo=cfo.(30.4)Hence, a signal x(k) that crosses the sensor array and exhibits a phase shift φ between uniformlyspa[r]

(six + bi)χi(x) ,(72.4)where si= 0 for all i. Fig. 72.1 shows the Markov mapf(x)=(1 − a)x/a + a 0 ≤ x ≤ a(1 − x)/(1 − a) a < x ≤ 1 ,(72.5)which has partition points {0,a,1}, and partition elements V1=[0,a)and V2=[a,1).FIGURE 72.1: An example of a piecewise-linear Markov map with two partiti[r]

Fixed-point PDSPs typically provide hardware to realize rounding because it gives a significant boost to the numerical performance of many speech processing algorithms. In most applications, it can be safely assumed that the low bits of the 2s complement value that are removed as part of a co[r]

signal. Fig. 33.4 shows the three polarimetric channels and the resulting PWF image for an ADTSSAR chip of a target-like object.FIGURE 33.4: Polarimetricprocessing of SAR data to reduce speckle.33.4 Automatic Object Detection and Classification inSAR ImagerySARalgorithmic tasksofhighinterestto[r]

produced. Speech software can help here by creating appropriate records as signal and parameterfiles are processed.The most common method for recording this information about a given signal is to put it in thesame file as the signal. Most modern speech software uses a file format t[r]

[10] Nayebi,K.,Barnwell,T.andSmith,M.,Designandimplementationofcomputationallyefficientmodulated filter banks,Proc. Intl. Symposium on Circuits and Systems, Singapore, 650–653,June 12-14, 1991.[11] Nayebi, K., Barnwell, T.P. and Smith, M.J.T., Design of perfect reconstruction nonuniformband filter bank[r]

Prentice-Hall, Eng lewood Cliffs, NJ, 1988.[6] Gabor, D.,Theory of communication,J. IEE (London), 93(III), 429–457, Nov. 1946.[7] Nayebi, K., Barnwell, T.P., and Smith, M.J.T., Analysis-synthesis systems with time-varyingfilter bank structures,Proc. Intl. Conf. Acoustics, Speech, Signal Pro[r]

sound to another. Thus far only articulatory parameters and formants have been used in rule-basedsystems. The best-known examples of a formant-based synthesizer are the Klatt synthesizer and itscommercial offshoot DECtalk.Rule-based systems are space-efficient because the y eliminate the need to stor[r]

Hong Wang. “Space-Time Adaptive Processing for Airborne Surveillance Radar.”2000 CRC Press LLC. <http://www.engnetbase.com>.Space-TimeAdaptiveProcessingforAirborneSurveillanceRadarHongWangSyracuseUniversity70.1MainReceiveApertureandAnalogBeamforming70.2DatatobeProcessed70.3ThePr[r]

the in-vocabularywords (i.e., keywords), while rejecting all other superfluous acoustic events in theutterance (which include out-of-vocabulary words, invalid inputs — any form of disfluency as wellas lack of keywords — and ambient sounds). In such cases, no critical constraints are imposed onthe user[r]

to an exponential input eζtis then given byy(t) =nj=1cjeλjt+ H(ζ)eζtwhere the arbitrary constants c1, c2, , cnare determined from auxiliary conditions.3This is true only if ζ is not a characteristic root.c1999 by CRC Press LLCRecall that the exponential signal includes a large variety of si[r]

The unit bel, named in honor of Alexander Graham Bell, is defined as the commonlogarithm of the ratio of two power, Pxand Py. In engineering applications, the mostpopular description of signal strength is decibel (dB) defined asN  10 log10PxPydB: A:37Therefore the decibel unit is used to[r]