Signal and image processing

Những nội dung chính được trình bày trong chương này gồm: Signal and Image processing, machine learning, multisim software, Kirchoff's Current Law(KCL) and Kirchoff's Voltage Law (KVL), circuit analysis. Mời các bạn cùng tham khảo.

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Digital signal processing has revolutionized the storage and transmission of audio and video signals as well as still images, in consumer electronics and in more scientific settings (such as medical imaging). The main advantage of digital signal processing is its robustness: although all the operations have to be implemented with, of necessity, not quite ideal hardware, the a priori knowledge that all correct outcomes must lie in a very restricted set of well-separated numbers makes it possible to recover them by rounding off appropriately. ...

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EURASIP Journal on Applied Signal Processing 2003:5, 430–436 c 2003 Hindawi Publishing Corporation An Approach to Adaptive Enhancement of Diagnostic X-Ray Images ¨ Hakan Oktem Institute of Signal Processing, Tampere University of Technology, P.O. Box 553, 33101 Tampere, Finland Email: oktem@cs.tut.fi Karen Egiazarian Institute of Signal Processing, Tampere University of Technology, P.O. Box 553, 33101 Tampere, Finland Email: karen@cs.tut.fi Jarkko Niittylahti Atostek Ltd., Hermiankatu 8D, FIN-33720 Tampere, Finland Email: jarkko.niittylahti@atostek.com Juha Lemmetti Atostek Ltd.

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EURASIP Journal on Applied Signal Processing 2003:5, 449–460 c 2003 Hindawi Publishing Corporation Multilevel Wavelet Feature Statistics for Efficient Retrieval, Transmission, and Display of Medical Images by Hybrid Encoding Shuyu Yang Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, TX 79409-3102, USA Email: shu.yang@ttu.edu Sunanda Mitra Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, TX 79409-3102, USA Email: sunanda.mitra@coe.ttu.

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EURASIP Journal on Applied Signal Processing 2003:12, 1188–1197 c 2003 Hindawi Publishing Corporation Algorithm of the Radar Imaging by Using the Wideband Signals with the Distorted Signal Phases Yulia V. Zhulina Interstate Corporation “Vympel”, 125319 Moscow, Russia Email: yulia julina@mtu-net.ru Received 16 December 2002 and in revised form 30 June 2003 The problem of restoring an image by its Fourier transform is considered when the Fourier transform contains phase distortions. The nature of these distortions and their values are arbitrary.

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EURASIP Journal on Applied Signal Processing 2003:12, 1181–1187 c 2003 Hindawi Publishing Corporation A Fast and Efficient Topological Coding Algorithm for Compound Images Xin Li Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV 26506, USA Email: xinl@csee.wvu.edu Received 11 September 2002 and in revised form 8 June 2003 We present a fast and efficient coding algorithm for compound images.

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EURASIP Journal on Applied Signal Processing 2003:3, 223–237 c 2003 Hindawi Publishing Corporation Removing Impulse Bursts from Images by Training-Based Filtering Pertti Koivisto Department of Mathematics, Statistics, and Philosophy, University of Tampere, Finland Institute of Signal Processing, Tampere University of Technology, Tampere, Finland Email: pertti.koivisto@tut.fi Jaakko Astola Institute of Signal Processing, Tampere University of Technology, Tampere, Finland Email: jaakko.astola@tut.

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EURASIP Journal on Applied Signal Processing 2003:7, 676–689 c 2003 Hindawi Publishing Corporation High Fill-Factor Imagers for Neuromorphic Processing Enabled by Floating-Gate Circuits Paul Hasler Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0250, USA Email: phasler@ee.gatech.edu Abhishek Bandyopadhyay Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0250, USA Email: abandyo@neuro.gatech.edu David V.

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EURASIP Journal on Applied Signal Processing 2003:7, 703–712 c 2003 Hindawi Publishing Corporation A Vision Chip for Color Segmentation and Pattern Matching Ralph Etienne-Cummings Iguana Robotics, P.O. Box 625, Urbana, IL 61803, USA Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218, USA Email: retienne@iguana-robotics.com Philippe Pouliquen Iguana Robotics, P.O. Box 62625, Urbana, IL 61803, USA Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218, USA Email: philippe@iguana-robotics.com M.

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EURASIP Journal on Applied Signal Processing 2003:9, 914–921 c 2003 Hindawi Publishing Corporation The PLSI Method of Stabilizing Two-Dimensional Nonsymmetric Half-Plane Recursive Digital Filters N. Gangatharan Faculty of Engineering, Multimedia University, Jalan Multimedia, 63100 Cyberjaya, Selangor, Malaysia Email: n.gangatharan@mmu.edu.my P. S. Reddy Faculty of Engineering, Multimedia University, Jalan Multimedia, 63100 Cyberjaya, Selangor, Malaysia Email: subbarami.reddy@mmu.edu.

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EURASIP Journal on Applied Signal Processing 2003:5, 470–478 c 2003 Hindawi Publishing Corporation Speckle Suppression in Ultrasonic Images Based on Undecimated Wavelets Fabrizio Argenti Dipartimento di Elettronica e Telecomunicazioni, Universit` di Firenze, Via di Santa Marta 3, 50139 Firenze, Italy a Email: argenti@lenst.det.unifi.it Gionatan Torricelli Dipartimento di Elettronica e Telecomunicazioni, Universit` di Firenze, Via di Santa Marta, 3, 50139 Firenze, Italy a Email: torricelli@det.unifi.

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EURASIP Journal on Applied Signal Processing 2003:3, 238–243 c 2003 Hindawi Publishing Corporation GA-Based Image Restoration by Isophote Constraint Optimization Jong Bae Kim Department of Computer Engineering, Kyungpook National University, 1370 Sangyuk-dong, Puk-gu, Daegu, 702-701, Korea Email: kjblove@ailab.knu.ac.kr Hang Joon Kim Department of Computer Engineering, Kyungpook National University, 1370 Sangyuk-dong, Puk-gu, Daegu, 702-701, Korea Email: kimhj@ailab.knu.ac.

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EURASIP Journal on Applied Signal Processing 2003:8, 806–813 c 2003 Hindawi Publishing Corporation Optimization and Assessment of Wavelet Packet Decompositions with Evolutionary Computation Thomas Schell Department of Scientific Computing, University of Salzburg, Jakob Haringer Street 2, A-5020 Salzburg, Austria Email: tschell@cosy.sbg.ac.at Andreas Uhl Department of Scientific Computing, University of Salzburg, Jakob Haringer Street 2, A-5020 Salzburg, Austria Email: uhl@cosy.sbg.ac.

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EURASIP Journal on Applied Signal Processing 2003:9, 890–901 c 2003 Hindawi Publishing Corporation An Efficient Feature Extraction Method with Pseudo-Zernike Moment in RBF Neural Network-Based Human Face Recognition System Javad Haddadnia Engineering Department, Tarbiat Moallem University of Sabzevar, Sabzevar, Khorasan 397, Iran Email: haddadnia@sttu.ac.ir Majid Ahmadi Electrical and Computer Engineering Department, University of Windsor, Windsor, Ontario, Canada N9B 3P4 Email: ahmadi@uwindsor.

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EURASIP Journal on Applied Signal Processing 2003:10, 1001–1015 c 2003 Hindawi Publishing Corporation Watermarking-Based Digital Audio Data Authentication Martin Steinebach Fraunhofer Institute IPSI, MERIT, C4M Competence for Media Security, D-64293 Darmstadt, Germany Email: martin.steinebach@ipsi.fraunhofer.de Jana Dittmann Platanista GmbH and Otto-von-Guericke University Magdeburg, 39106 Magdeburg, Germany Email: jana.dittmann@iti.cs.uni-magdeburg.

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EURASIP Journal on Applied Signal Processing 2003:12, 1167–1180 c 2003 Hindawi Publishing Corporation Spatially Adaptive Intensity Bounds for Image Restoration Kaaren L. May Snell and Wilcox Ltd., Liss Research Centre, Liss Mill, Mill Road, Liss, Hampshire, GU33 7BD, UK Email: kaaren.may@snellwilcox.com Tania Stathaki Communications and Signal Processing Group, Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2BT, UK Email: t.stathaki@ic.ac.uk Aggelos K.

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EURASIP Journal on Applied Signal Processing 2003:5, 403–404 c 2003 Hindawi Publishing Corporation Editorial Jiri Jan Department of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Purkynova 118, CZ 612 00 Brno, Czech Republic Email: jan@feec.vutbr.cz Milan Sonka Department of Electrical and Computer Engineering, The University of Iowa, 4322 SC, Iowa City, IA 52242, USA Email: milan-sonka@uiowa.

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EURASIP Journal on Applied Signal Processing 2003:5, 437–448 c 2003 Hindawi Publishing Corporation Dynamic Chest Image Analysis: Model-Based Perfusion Analysis in Dynamic Pulmonary Imaging Jianming Liang Turku Centre for Computer Science, DataCity, Lemmink¨ isenkatu 14 A, 20520 Turku, Finland a Email: liang@cs.utu.fi ¨ Timo Jarvi Turku Centre for Computer Science, DataCity, Lemmink¨ isenkatu 14 A, 20520 Turku, Finland a Email: jarvi@cs.utu.fi Aaro Kiuru Department of Diagnostic Radiology, Turku University, 20520 Turku, Finland Email: aaro.kiuru@tyks.

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Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2008, Article ID 468693, 7 pages doi:10.1155/2008/468693 Research Article Comparing Robustness of Pairwise and Multiclass Neural-Network Systems for Face Recognition J. Uglov, L. Jakaite, V. Schetinin, and C. Maple Computing and Information System Department, University of Bedfordshire, Luton LU1 3JU, UK Correspondence should be addressed to V. Schetinin, vitaly.schetinin@beds.ac.uk Received 16 June 2007; Revised 28 August 2007; Accepted 19 November 2007 Recommended by Konstantinos N.

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IMAGE QUANTIZATION Any analog quantity that is to be processed by a digital computer or digital system must be converted to an integer number proportional to its amplitude. The conversion process between analog samples and discrete-valued samples is called quantization. The following section includes an analytic treatment of the quantization process, which is applicable not only for images but for a wide class of signals encountered in image processing systems.

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