... Filters Design forSignalandImageProcessing 24 Digital Filters Design forSignalandImageProcessing We can also represent, especially for causal sequences, the monolateral z-transform, )(zXz, ... Design forSignalandImageProcessing Chapter 3 is dedicated to the analysis of the frequency properties of signals and systems. The Fourier transform, the discrete Fourier transform (DFT) and ... Design forSignalandImageProcessing Signal fs Ts Speech: Telephone band – telephone- Broadband – audio-visual conferencing- 8 KHz or 16 KHz 125 µs 62.5 µs Audio: Broadband (Stereo)...
... Applications of Blind and Semi-Blind Signal Processing 231.2.1 Biomedical SignalProcessing 241.2.2 Blind Separation of Electrocardiographic Signals ofFetus and Mother 251.2.3 Enhancement and Decomposition ... HDTV, etc. As demand for high quality and reliability in recording and visualization systems increases, signalprocessing has aneven more important role to play.Blind SignalProcessing (BSP) ... difficult and even impossible to treat be-cause we have (m + n) unknown source signals (n sources and m noise signals, see Fig.1.8).Various signalprocessing methods have been developed for noise...
... IntroductionThischapterprovidesabriefintroductiontothetheoryofmorphologicalsignalprocessinganditsapplicationstoimageanalysisandnonlinearfiltering.By“morphologicalsignalprocessing”wemeanabroadandcoherentcollectionoftheoreticalconcepts,mathematicaltoolsforsignalanalysis,non-linearsignaloperators,designmethodologies,andapplicationssystemsthatarebasedonorrelatedtomathematicalmorphology(MM),aset-andlattice-theoreticmethodologyforimageanalysis.MMaimsatquantitativelydescribingthegeometricalstructureofimageobjects.Itsmathematicaloriginsstemfromsettheory,latticealgebra,convexanalysis,andintegralandstochasticgeometry.ItwasinitiatedmainlybyMatheron[42]andSerra[58]inthe1960s.SomeofitsearlysignaloperationsarealsofoundintheworkofotherresearcherswhousedcellularautomataandBoolean/thresholdlogictoanalyzebinaryimagedatainthe1950sand1960s,assurveyedin[49,54].MMhasformalizedtheseearlieroperationsandhasalsoaddednumerousnewconceptsandimageoperations.Inthe1970sitwasextendedtogray-levelimages[22,45,58,62].OriginallyMMwasappliedtoanalyzingc1999byCRCPressLLCdefined) ... operations of the Boolean type. For example, given asampled1binary imagesignal f[x] with values 1 for the image foreground and 0 for the background,typical signal transformations involving a neighborhood ... makemorphological signalprocessingarigorous andefficientframework tostudyandsolve manyproblemsin image analysis and nonlinear filtering.74.2 Morphological Operators for Sets and Signals74.2.1 Boolean...
... discussed further in an example in Chapter 10.1.6. Fusion in signalandimageprocessingand fusion in other fieldsFusion in signalandimageprocessing has specific features that need to be takeninto ... between information known beforehand and new information. Here, wewill be considering dynamic processes among others (particularly robotics), and itseems important for us to include revision and ... 201.6. Fusion in signalandimageprocessingand fusion in other fields . . . . 221.7.Bibliography 23Chapter 2. Fusion in SignalProcessing 25Jean-Pierre LE CADRE, Vincent NIMIER and Roger REYNAUD2.1....