Applied digital signal processing

Part 1 book "Applied digital signal processing - Theory and practic" includes content: Introduction, discrete-time signals and systems, the z-transform, fourier representation of signals, transform analysis of LTI systems, sampling of continuous time signals, the discrete fourier transform.

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Part 2 book "Applied digital signal processing - Theory and practic" includes content: Computation of the Discrete Fourier Transform; structures for discrete-time systems, design of FIR filters, design of IIR filters, multirate signal processing.

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In this article, an algorithm for digital implementation of the chargecomparison method for n/γ discrimination based on Digital Signal Processing technique is described.

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The document Applied processing digital signal presnet the content: applications of digital signal processing, discrete-time signals and systems, the Z-transform, fourier representation of signals, transform analysis of LTI systems, sampling of continuous-time signals, the discrete Fourier transform, computation of the discrete fourier transform, structures for discrete-time systems, design of fir filters, design of IIR filters, multirate signal processing, random signals, random signal processing, finite Wordlength effects.

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Lecture Digital signal processing - Lecture 1 introduction, discrete-time signals and systems. After completing this chapter, students will be able: To make the students able to apply digital filters according to known filter specifications, to provide the knowledge about the principles behind the discrete Fourier transform (DFT) and its fast computation,...

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Today, the data acquisition technology has found its way into virtually every segment of electronics. A digital signal processing (DSP) system accepts analog signals as input, converts those analog signals to numbers, performs computations using the numbers and eventually converts the results of the computations back into analog signals. Once converted to numbers, signals are unconditionally stable. Error detection and correction methods can be applied to store,transmit and reproduce numbers with no corruption. Signals stored digitally are really just large arrays of numbers.

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The developed technique involves contrast enhancement using sequentially iterative smoothing filters, histogram equalization, and simultaneous application of two types of edge detection processes namely, maximum-difference edge detection [3] and Canny’s edge detection [4]. The post processed image is combined with the original image to accentuate the edges while eliminating noise. Smoothing is implemented because of its effect to reduce specific types of noise signals in the digitized image.

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Beginning with modest initial attempts in roughly the 1960s, digital image processing has become a recognized field of science, as well as a broadly accepted methodology, to solve practical problems in many different kinds of human activities. The applications encompass an enormous range, starting perhaps with astronomy, geology, and physics, via medical, biological, and ecological imaging and technological exploitation, up to the initially unexpected use in humane sciences, e.g., archaeology or art history.

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Today, the data acquisition technology has found its way into virtually every segment of electronics. A digital signal processing (DSP) system accepts analog signals as input, converts those analog signals to numbers, performs computations using the numbers and eventually converts the results of the computations back into analog signals. Once converted to numbers, signals are unconditionally stable. Error detection and correction methods can be applied to store, transmit and reproduce numbers with no corruption....

352p greengrass304 15-09-2012 61 5   Download

MATLAB (Matrix Laboratory) is a matrix-oriented tool for mathematical programming, applied for numerical computation and simulation purposes. Together with its dynamic simulation toolbox Simulink, as a graphical environment for the simulation of dynamic systems, it has become a very powerful tool suitable for a large number of applications in many areas of research and development.

469p tailieuvip13 19-07-2012 135 49   Download

Top-Selling DSP Book for Seven Straight Years-Now Fully Updated! Understanding Digital Signal Processing, Third Edition,is quite simply the best resource for engineers and other technical professionals who want to master and apply today's latest DSP techniques. Richard G. Lyons has updated and expanded his best-selling second edition to reflect the newest technologies, building on the exceptionally readable coverage that made it the favorite of DSP professionals worldwide.

227p 951864273 16-05-2012 154 39   Download

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 2003:3, 312–316 c 2003 Hindawi Publishing Corporation Chebyshev Functions-Based New Designs of Halfband Low/Highpass Quasi-Equiripple FIR Digital Filters Ishtiaq Rasool Khan Department of Information and Media Sciences, The University of Kitakyushu, 1-1 Hibikino, Wakamatsu-ku, Kitakyushu 808-0135, Japan Collaboration Center, Kitakyushu Foundation for the Advancement of Industry, Science and Technology, 2-1 Hibikino, Wakamatsu-ku, Kitakyushu 808-0135, Japan Email: ir khan@hotmail.

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EURASIP Journal on Applied Signal Processing 2003:6, 594–602 c 2003 Hindawi Publishing Corporation Design and Implementation of Digital Linear Control Systems on Reconfigurable Hardware Marcus Bednara Department of Computer Sciences 12, Hardware-Software-Co-Design, Friedrich-Alexander-Universit¨ t Erlangen, a D-91058 Erlangen, Germany Email: bednara@informatik.uni-erlangen.de Klaus Danne Heinz Nixdorf Institute, University of Paderborn, D-33102 Paderborn, Germany Email: danne@upb.

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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 2003:9, 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 2003:13, 1346–1354 c 2003 Hindawi Publishing Corporation Design of Application-Specific Instructions and Hardware Accelerator for Reed-Solomon Codecs Jung H. Lee School of Electrical and Computer Engineering, Ajou University, San 5, Wonchun-Dong, Paldal-Gu, Suwon 442-749, Korea Email: junghoo@ajou.ac.kr Jaesung Lee Computer System Department, Electronics and Telecommunications Research Institute, 161 Gajeong-Dong, Yuseong-Gu, Taejon 305-350, Korea Email: ljshhide@etri.re.kr Myung H.

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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 2003:11, 1053–1055 c 2003 Hindawi Publishing Corporation Editorial Kees Janse Digital Signal Processing Group, Philips Research Laboratories, Prof. Holstlaan 4 (WY81), 5656 AA Eindhoven, The Netherlands Email: kees.janse@philips.com Walter Kellermann Multimedia Communications and Signal Processing, Friedrich-Alexander University of Erlangen-Nuremberg, Cauerstrasse 7, 91058 Erlangen, Germany Email: wk@LNT.

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EURASIP Journal on Applied Signal Processing 2003:6, 603–614 c 2003 Hindawi Publishing Corporation A Rapid Prototyping Environment for Wireless Communication Embedded Systems Bryan A. Jones Department of Electrical and Computer Engineering, Clemson University, 202A Riggs Hall, Clemson, SC 29634, USA Email: bryan@rice.edu Joseph R. Cavallaro Department of Electrical and Computer Engineering, Rice University, Duncan Hall, MS 380, 6100 S. Main Street, Houston, TX 77005, USA Email: cavallar@rice.

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