jae s lim - two - dimensional signal and image processing

... discuss signals and systems in Sections 1.1 and 1.2, respectively. The Fourier transform representation of signals and systems plays a central role in both one -dimensional (1-D) and two- dimensional ... Jae S. Two- dimensional signal and image processing 1 Jae S. Lim p. cm rentic ice Hall signal processing series) ~iblio~ra~h~: p. Includes index. ISBN 0-1 3-9 3532 2-4 1. Signal processing- Digital ... reasons, it is often appropriate to impose additional constraints on the class of systems we consider. Stable systems and special support systems have such constraints. Stable systems. A system...

... noise. Thefirst three signals are the original sources, the next threesignals are the noisy sensor signals, and the last three signalsare the on-line estimated source signals using the learningrule ... results for mixture ofnatural speech signals and a colored Gaussian noise, where s j and x1j, stand for the j-th source signal and mixed signal, respectively. The signals yjwas extracted by using ... reconstructed source signals. 2977.9 Blind separation of speech signals using the algorithm (7.80):(a) Primary source signals, (b) sensor signals, (c) recoveredsource signals. 2987.10 (a) Eight ECG signals...

... areasfrom the fields of signal processing, image processing and machine vision, and pattern recognition.Asthename‘morphology’ implies(study/analysisof shape/form), morphological signal processing can ... any decreasing set sequence Xn, then  has anonempty basis and can be represented via erosions only by its basis sets. If the dual dis also uppersemicontinuous, then its basis sets provide ... LLCMorphologicalSignalandImage Processing PetrosMaragosGeorgiaInstituteofTechnology74.1Introduction74.2MorphologicalOperatorsforSetsandSignalsBooleanOperatorsandThresholdLogic•MorphologicalSetOperators•MorphologicalSignalOperatorsandNonlinearConvolutions74.3Median,Rank,andStackOperators74.4UniversalityofMorphologicalOperators74.5MorphologicalOperatorsandLatticeTheory74.6SlopeTransforms74.7MultiscaleMorphologicalImageAnalysisBinaryMultiscaleMorphologyviaDistanceTransforms•Mul-tiresolutionMorphology74.8DifferentialEquationsforContinuous-ScaleMorphology74.9ApplicationstoImageProcessingandVisionNoiseSuppression•FeatureExtraction•ShapeRepresentationviaSkeletonTransforms•ShapeThinning•SizeDistributions•Fractals•ImageSegmentation74.10ConclusionsAcknowledgmentReferences74.1...

... 10.1.6. Fusion in signal and image processing and fusion in other fieldsFusion in signal and image processing has specific features that need to be takeninto account at every step when constructing ... con-cepts, such as estimation, revision, association of data and data mining, can sometimesbe considered as fusion problems in a broad sense of the word. Let us specify theseconcepts.Fusion and estimation. ... sensors available today in terms of perfor-mance and quality as well as the associated signal processing. This constant progress,from the perspective of both hardware and software, provides...

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... analog-to-digital conversion circuitry. This amplication is usually performed by a group of transistors and resistors. Sometimes the device has vari-able resistors or switches that allow the user ... signal processing is performed through electronic components such as transis-tors, resistors, and capacitors usually without the aid of a microprocessor. The fourth stage of the system is the ... IL, USAPartFundamental Signal and Image Processing ConceptsI3J.J. Goldberger and J. Ng (eds.), Practical Signal and Image Processing in Clinical Cardiology,DOI: 10.1007/97 8-1 -8 488 2-5 1 5-4 _1,...

... overview of various classes of signals and systems. It discusses the time-domain representations and characterizations of the continuous-time and discrete-time signals. Chapter 2 details the background ... this title features both 1-D and 2-D systems, and as such covers both signal and image processing. Thus, in Chapters 8 and 9, 2-D filtering is investigated. Moreover, it is not easy to establish ... periodicals i.e., Transactions on Acoustics Speech and Signal Processing, which has since become Transactions on Signal Processing and Transactions on Circuits and Systems. Mohamed NAJIM Bordeaux...

... artery; S : Peak systolic tissue velocity [cm /s] ; SR: strain rate [s- 1]; sSR: peak systolic strain rate [s- 1]; SRe: eak early diastolic systolic strain rate [s- 1]; ROI: Region of interest; TDI: ... S Scciieennccee s s 2011; 8(2):10 6-1 13 © Ivyspring International Publisher. All rights reserved. Research Paper Segment-orientated analysis of two- dimensional strain and strain rate as assessed ... significant decrease of tissue ve-locities, 2DS and SR in comparison to the non-affected segments. Conclusion: 2DS and SR as assessed by VVI seem to be a suitable approach for echocar-diographic quantification...

... more sophisticated shape extraction techniques. The Khoros image processing system has attracted much interest; this is a schematic (data-flow) image processing system where a user links together ... conversion, computer languages, processing packages.Mathematical How we can process images using Ease, consistency, support, visualisationsystems mathematical packages; intro- of results, availability, ... stripes of constant shade join. By assigning values to the image brightness levels, thecross-section of plotted brightness is shown in Figure 1.4(a). This shows that the picture isformed from stripes...

... by M and set M = MS = M&apos ;S& apos;. S and S& apos; are positive integers such that S divides K, S& apos; divides K' ^ and N = 'Mf =^$ Arguing as in the integer over-sampled case, ... Wigner distribution decomposition and cross-term deleted representation. Signal Processing 27 (1992), 12 5- 144. [11] Raz, S. , Synthesis of signals from Wigner distributions: Representa-tion ... basis, Signal Processing 20(4) (1990), 30 3-3 14. [12] Wexler, J. and S. Raz, Discrete Gabor expansions, Signal Processing 21(3) (1990), 20 7-2 20. [13] Wexler, J. and S. Raz, Wigner-space synthesis...