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    Fast Haar Transform

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    711-720‚ Jul. 1997. [2] D. Cai‚ X. He‚ and J. Han‚ “SRDA: An efficient algorithm for largescale discriminant analysis‚” IEEE Trans. Knowl. Data Eng.‚ vol. 20‚ no. 1‚ pp. 1-12‚ Jan. 2008. [3] P. Getreur‚ Writing Fast Matlab Code 2008 [Online]. Available:WWW. Eng.auburn.edu/~dmbevly/matlab/ [4] X. He‚ D. Cai‚ and J. Han‚ “Learning a maximum margin subspace for image retrieval‚” IEEE Trans. Knowl. Data Eng.‚ vol. 20‚ no.2‚ pp. 189-201‚ Feb.2008. [5] X. He‚S. Yan‚ Y. Hu‚P.Niyogi‚and H. Zhang‚ “Face recognition

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    University Database

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    MATLAB J.-S. Roger Jang Ned Gulley ® Fuzzy Logic Toolbox Computation Visualization Programming User’s Guide Version 1 How to Contact The MathWorks: PHONE ¤ FAX MAIL 508-647-7000 508-647-7001 Phone Fax Mail u INTERNET The MathWorks‚ Inc. 24 Prime Park Way Natick‚ MA 01760-1500 http://www.mathworks.com ftp.mathworks.com comp.soft-sys.matlab Web Anonymous FTP server Newsgroup Technical support Product enhancement suggestions Bug reports Documentation error reports

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    Mwehehe

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    Generating Amplitude-Modulated Signal (Matlab Code‚ Simulink and Multisim) E.M.Q. Panambo E.D.G de Guzman J.M.F. Heramis College of Engineering – Electronics Engineering Lyceum of Subic Bay‚ SBFZ e.panambo@yahoo.com Abstract – The receivers used to list Amplitude Modulation – Double Sideband Carrier (AM-DSBC) as the simplest receivers of any radio modulation technique; which may be why that version of amplitude modulation is still widely used today [1]. Amplitude modulation techniques

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    SCB 1

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    A Mini Project Report ON “SUPERCAPACITORS AND BATTERY POWER MANAGEMENT FOR HYBRID VEHICLE APPLICATIONS USING MULTI BOOST AND FULL BRIDGE CONVERTERS” Is submitted in the particular fulfillment for the award of the degree of BACHELOR OF TECHNOLOGY IN ELECTRICAL AND ELECTRONICS ENGINEERING By M.KRISHNAVENI 11B71A0206 A.PRADEEP 11B71A0244 E.SOUMYA 11B71A0249 P.SRINIVAS 11B71A0246 UNDER THE GUIDANCE OF Miss.M.PADMA ASST.PROFESSOR DEPARTMENT OF ELECTRICAL & ELECTRONICS ENGINEERING SINDHURA

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    Mimo

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    Decoder Using Simulink® and the MATLAB™ Function Block Hardware implementation of a MIMO decoder is a demanding task because of the computational complexity of searching the closest points in an unstructured lattice in a multi-dimensional domain. This model shows how to use Simulink® HDL Coder™ to check‚ generate‚ and verify HDL code for a fixed-point MIMO decoder model. The computational units are implemented using Simulink® blocks. The control unit is designed using MATLAB™ Function blocks. Contents

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    balanced ring modulator

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    BALANCED RING MODULATOR Nur Amirah binti Kamaruzaman#1‚ Nurasmira Wanie binti Abd Wahab#2‚ Nurul Liana binti Mansor#3‚ Bachelor of Electronic Engineering and Computer Engineering (BENE) 1B021110140 2B021110237 3B021110216 Abstract— balanced ring modulator is a type of modulator that the diodes are arranged like a ring. In balanced ring modulator‚ there are also transformers and the carrier. This type of modulator is like bridge modulator. However‚ the arrangement of the diodes are different from

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    Introduction to C++ Programming and Graphics Introduction to C++ Programming and Graphics C. Pozrikidis 13 Constantine Pozrikidis Department of Mechanical and Aerospace Engineering (MAE) University of California‚ San Diego 9500 Gilman Drive La Jolla‚ CA 92093-0411 dehesa@freeshell.org Cover illustration: The illustration on the front cover shows a twisted nanoring consisting of a warped hexagonal lattice of carbon atoms. Library of Congress Control Number: 2007921582 ISBN-10:

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    Euler method

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    1 Numerical Methods for Differential Equations 1 2 NUMERICAL METHODS FOR DIFFERENTIAL EQUATIONS Introduction Differential equations can describe nearly all systems undergoing change. They are ubiquitous is science and engineering as well as economics‚ social science‚ biology‚ business‚ health care‚ etc. Many mathematicians have studied the nature of these equations for hundreds of years and there are many well-developed solution techniques. Often‚ systems described by differential

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    Dynamic Signal Analyzer for dSPACE K. A. Lilienkamp‚ and D. L. Trumper Precision Motion Control Lab‚ MIT‚ Rm 35-030‚ 77 Mass. Ave‚ Cambridge‚ MA 02139 We have developed MATLAB software and a Simulink subsystem block which work in tandem to extract the transfer function (amplitude and phase) of a system using ‘swept sine’ excitation. The resulting dynamic signal analyzer provides a convenient tool for obtaining empirical Bode plots of system and controller dynamics within the dSPACE environment.

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    Method of simulation 3.1 The spatial impulse response 3.2 Simulation . . . . . . . . . 3.3 Focusing and apodization . 3.4 Attenuation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 Description of Matlab procedures 5.1 List of current procedures . . . . . . 5.2 Procedures for Field initialization . . 5.3 Procedures for transducer definition . 5.4 Procedures for element manipulation 5.5 Procedures for field calculation . . . . . . . .

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