digital image processing 3rd edition pdf free

Ngày tải lên: 28/04/2014, 15:39

Ngày tải lên: 31/03/2014, 16:20

Ngày tải lên: 05/06/2014, 11:57

Ngày tải lên: 26/10/2014, 14:45

... Recognition 364 Nonlinear Audio Processing 368 Chapter 23. Image Formation and Display 373 Digital Image Structure 373 Cameras and Eyes 376 Television Video Signals 384 Other Image Acquisition and Display ... Filter Comparison 343 APPLICATIONS Chapter 22. Audio Processing 351 Chapter 23. Image Formation and Display 373 Chapter 24. Linear Image Processing 397 Chapter 25. Special Imaging Techniques ... The Scientist and Engineer's Guide to Digital Signal Processing Second Edition xii Preface Goals and Strategies of this Book The technical world is changing...

Ngày tải lên: 13/09/2012, 10:21

... xix 1 Introduction 15 1.1 What Is Digital Image Processing? 15 1.2 The Origins of Digital Image Processing 17 1.3 Examples of Fields that Use Digital Image Processing 21 1.3.1 Gamma-Ray Imaging ... Used 34 1.4 Fundamental Steps in Digital Image Processing 39 1.5 Components of an Image Processing System 42 Summary 44 References and Further Reading 45 2 Digital Image Fundamentals 34 2.1 Elements ... Representing Digital Images 54 2.4.3 Spatial and Gray-Level Resolution 57 2.4.4 Aliasing and Moiré Patterns 62 2.4.5 Zooming and Shrinking Digital Images 64 vii GONZFM-i-xxii. 5-10-2001 14:22 Page vii Digital...

Ngày tải lên: 02/11/2012, 17:24

... image processing is intimately tied to the development of the digital computer. In fact, digital images require so much storage and computational power that progress in the field of digital image ... overlap be- tween image processing and image analysis is the area of recognition of indi- vidual regions or objects in an image. Thus, what we call in this book digital image processing encompasses ... involve digital images, they are not con- sidered digital image processing results in the context of our definition because computers were not involved in their creation.Thus, the history of digital...

Ngày tải lên: 02/11/2012, 17:24

Ngày tải lên: 02/11/2012, 17:25

Ngày tải lên: 02/11/2012, 17:25

... for adaptive suppression, free from strong clutter contamination. Available acquisition methods include the use of clutter -free range-cells for low PRF systems, clutter -free Doppler bins for high ... unknown at this stage of processing in practice [7]. There are several non-optimized temporal DOF reduction methods available, such as the Doppler-domain (joint domain) localized processing (DDL/JDL) ... Press LLC Space-TimeAdaptiveProcessing forAirborneSurveillanceRadar HongWang SyracuseUniversity 70.1MainReceiveApertureandAnalogBeamforming 70.2DatatobeProcessed 70.3TheProcessingNeedsandMajorIssues 70.4TemporalDOFReduction 70.5AdaptiveFilteringwithNeededandSample-Supportable DOFandEmbeddedCFARProcessing 70.6Scan-To-ScanTrack-Before-DetectProcessing 70.7Real-TimeNonhomogeneityDetectionandSample ConditioningandSelection 70.8SpaceorSpace-RangeAdaptivePre-SuppressionofJammers 70.9ASTAPExamplewithaRevisittoAnalogBeamforming 70.10Summary References Space-TimeAdaptiveProcessing(STAP)isamulti-dimensionalfilteringtechniquedevelopedfor minimizingtheeffectsofvariouskindsofinterferenceontargetdetectionwithapulsedairborne surveillanceradar.Themostcommondimensions,orfilteringdomains,generallyincludetheaz- imuthangle,elevationangle,polarizationangle,dopplerfrequency,etc.inwhichtherelativelyweak targetsignaltobedetectedandtheinterferencehavecertaindifferences.Inthefollowing,theSTAP principlewillbeillustratedforfilteringinthejointazimuthangle(space)anddopplerfrequency (time)domainonly. STAPhasbeenaveryactiveresearchanddevelopmentareasincethepublicationofReedetal.’s seminalpaper[1].WiththerecentlycompletedMultichannelAirborneRadarMeasurementproject (MCARM)[2]–[5],STAPhasbeenestablishedasavaluablealternativetothetraditionalapproaches, suchasultra-lowsidelobebeamformingandDisplacedPhaseCenterAntenna(DPCA)[6].Muchof STAPresearchanddevelopmenteffortshavebeendrivenbytheneedstomakethesystemaffordable, tosimplifyitsfront-hardwarecalibration,andtominimizethesystem’sperformancelossinseverely nonhomogeneousenvironments.Figure70.1isageneralconfigurationofSTAPfunctionalblocks[5, 7]whoseprincipleswillbediscussedinthefollowingsections. c  1999byCRCPressLLC ...

Ngày tải lên: 13/12/2013, 00:15

... IntroductionandMotivation Thischapterreviewstheapplicationsofantennaarraysignalprocessingtomobilenetworks.Cellular networksarerapidlygrowingaroundtheworldandanumberofemergingtechnologiesareseentobe criticaltotheirimprovedeconomicsandperformance.Amongtheseistheuseofmultipleantennas andspatialsignalprocessingatthebasestation.ThistechnologyisreferredtoasSmartAntennasor, moreaccurately,asSpace-TimeProcessing(STP).STPreferstoprocessingtheantennaoutputsin bothspaceandtimetomaximizesignalquality. Acellulararchitectureisusedinanumberofmobile/portablecommunicationsapplications.Cell sizesmayrangefromlargemacrocells,whichservehighspeedmobiles,tosmallermicrocellsorvery smallpicocells,whicharedesignedforoutdoorandindoorapplications.Eachoftheseoffersdifferent channelcharacteristicsand,therefore,posesdifferentchallengesforSTP.Likewise,differentservice deliverygoalssuchasgradeofserviceandtypeofservice:voice,data,orvideo,alsoneedspecic STPsolutions.STPprovidesthreeprocessingleverages.Therstisarraygain.Multipleantennas capturemoresignalenergy,whichcanbecombinedtoimprovethesignal-to-noiseratio(SNR).Next isspatialdiversitytocombatspace-selectivefading.Finally,STPcanreduceco-channel,adjacent channel,andinter-symbolinterference. Theorganizationofthischapterisasfollows.InSection68.2,wedescribethevectorchannelmodel forabasestationantennaarray.InSection68.3wediscussthealgorithmsforSTP.Section68.4outlines theapplicationsofSTPincellularnetworks.Finally,weconcludewithasummaryinSection68.5. c 1999byCRCPressLLC ... York, 1974. [23] Krim, H. and Viberg, M., Two decades of array signal processing research: the parametric approach, IEEE Signal Processing Magazine, 13(4), 67–94, July 1996. [24] Lee, W.C., Mobile ... blind identification of multichannel FIR filters, IEEE Trans. on Signal Processing, 1995. [29] Orfanidis, S.J., Optimal Signal Processing – An Introduction, Macmillan Publishing Co., New York, 1985. [30]...

Ngày tải lên: 13/12/2013, 00:15

... 1995. [35] Reddy, V.U., Mathew, G. and Paulraj, A., Some algorithms for eigensubspaceestimation, Digital Signal Processing, 5, 97–115, 1995. [36] Regalia, P.A. and Loubaton, P., Rational subspaceestimation ... data matrix where the kth column corresponds to the kth snapshot vector, x k ∈ C n . With block processing, the correlation matrix for a zero mean, stationary, ergodic vector process is typically ... sensor noise usually dominates numerical errors, this choice may not be critical in most signal processing applications. 66.2.2 Short Memory Windows for Time Varying Estimation Ultimately, weareinterestedin...

Ngày tải lên: 13/12/2013, 00:15

... lim n→∞ E{W(n)} . (23.14) c  1999 by CRC Press LLC Williamson, G.A. “Adaptive IIR Filters” Digital Signal Processing Handbook Ed. Vijay K. Madisetti and Douglas B. Williams Boca Raton: CRC Press ... Signal Processing, 41(2), 617–628, 1993. [14] Lin, J N. and Unbehauen, R., Bias-remedy least mean square equation error algorithm for IIR parameter recursive estimation, IEEE Trans. Signal Processing, 40(1), ... Acoustics, Speech, Signal Processing, 38(7), 1222–1227, 1990. [17] Regalia, P.A., Stable and efficient latticealgorithms for adaptive IIR filtering, IEEE Trans.Signal Processing, 40(2), 375–388,...

Ngày tải lên: 13/12/2013, 00:15

... S., Adaptive Filter Theory , 3rd ed., Prentice-Hall, Englewood Cliffs, NJ, 1996. [2] Proakis, J.G., Rader, C.M., Ling, F., and Nikias, C.L., Advanced Digital Signal Processing , Macmillan Publishing, ... S.D., Adaptive Signal Processing , Prentice-Hall, Englewood Cliffs, NJ, 1985. [4] Sayed, A.H. and Kailath, T., A state-space approach to adaptive RLS filtering, IEEE Signal Processing Magazine , ... diverges. c  1999 by CRC Press LLC Sayed, A.H. & Rupp, M. “Robustness Issues in Adaptive Filtering” Digital Signal Processing Handbook Ed. Vijay K. Madisetti and Douglas B. Williams Boca Raton: CRC Press...

Ngày tải lên: 13/12/2013, 00:15

... (19.2) whereW(n)=[w 0 (n)w 1 (n)ÃÃÃw L1 (n)] T isthecoefcientvector,X(n)=[x(n)x(n 1)ÃÃÃx(nL+1)] T istheinputsignalvector,d(n)isthedesiredsignal,e(n)istheerrorsignal, andà(n)isthestepsize. TherearethreemainreasonswhytheLMSadaptivelterissopopular.First,itisrelativelyeasyto implementinsoftwareandhardwareduetoitscomputationalsimplicityandefcientuseofmemory. Second,itperformsrobustlyinthepresenceofnumericalerrorscausedbynite-precisionarithmetic. Third,itsbehaviorhasbeenanalyticallycharacterizedtothepointwhereausercaneasilysetupthe systemtoobtainadequateperformancewithonlylimitedknowledgeabouttheinputanddesired responsesignals. c 1999byCRCPressLLC [22] Farden,D.C., Tracking properties of adaptivesignal processingalgorithms, IEEETrans.Acoust., Speech, Signal Processing, ASSP-29(3), 439–446, June 1981. [23] Bitmead, R.R. and Anderson, ... algorithms, IEEE Trans. Signal Processing, 41(9), 2811–2825, Sept. 1993. [25] Douglas, S.C. and Meng, T.H Y., Normalized data nonlinearities for LMS adaptation, IEEE Trans. Signal Processing, 42(6), 1352–1365, ... Signal Processing, 4(3), 219–216, May-June 1990. [28] Harris, R.W., Chabries, D.M., and Bishop, F.A., A variable step (VS) adaptive filter algorithm, IEEE Trans. Acoust., Speech, Signal Processing, ASSP-34(2),...

Ngày tải lên: 13/12/2013, 00:15

... 1995. [8] Hayes, M.S., Statistical Digital Signal Processing and Modeling, John Wiley & Sons, New York, 1996. [9] Haykin, S., Advances in Spectrum Analysis and Array Processing, Prentice Hall, Englewood Cliffs, ... which plays a major role in many applied sciences such as radar, speech processing, underwater acoustics, biomedical signal processing, sonar, seismology, vibration analysis, control theory, and ... n      2 (14.70) c  1999 by CRC Press LLC Djuric, P.M. & Kay S.M. “Spectrum Estimation and Modeling” Digital Signal Processing Handbook Ed. Vijay K. Madisetti and Douglas B. Williams Boca Raton: CRC Press...

Ngày tải lên: 13/12/2013, 00:15

... 1960 McGraw-Hill edition) , 1987. [4] Davenport, W. and Root, W., An Introduction to the Theory of Random Signals and Noise , IEEE Press, New York (reprint of 1958 McGraw-Hill edition) , 1987. [5] ... 13.3 and 13.4. c  1999 by CRC Press LLC Hero, A. “Signal Detection and Classification” Digital Signal Processing Handbook Ed. Vijay K. Madisetti and Douglas B. Williams Boca Raton: CRC Press ... nonzero mean [14, 15]. 13.7 Signal Classification Typical classification problems arising in signal processing are: classifying an individual signal wave- form out of a set of possible linearly independent...

Ngày tải lên: 13/12/2013, 00:15