and developed using a fuzzy logic controller. The guitar tuner was implemented using Simulink and XPC real time kernel. The system acquires the signal from an electrical guitar and inputs the signal into a target PC running XPC. Using Fast Fourier Transforms (FFT)‚ the system calculates the fundamental and harmonics of the played notes and compares it with the desired pattern. The frequency difference is used as an input to a fuzzy logic controller that automatically adjusts the tension of the
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APCOMS | DIGITAL IMAGE PROCESSING | ASSIGMNENT | | SIR SHAHID ISMAIL | 29-May-13 | | GROUP MEMBERS: USAID SHUAIB F-3313 AHMED TAUQIR F-3324 HAMMAD SHEIKH F-3325 GROUP MEMBERS: USAID SHUAIB F-3313 AHMED TAUQIR F-3324 HAMMAD SHEIKH F-3325 Representation Segmentation techniques yield raw data in the form of pixels along a boundary or pixels contained in a region. These data sometimes are used directly to obtain descriptors. Standard uses techniques to compute
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T. Bruton and N. R. Bartley‚ “Three-dimensional image processing using the concept of network resonance‚” IEEE Trans. Circuits Syst.‚ vol. 32‚ pp. 664–672‚ Jul. 1985. [51] P. Agathoklis and L. T. Bruton‚ “Practical-BIBO stability of N-dimensional discrete systems‚” Proc. IEE‚ vol. 130‚ no. 6‚ pt. G‚ pp. 236–242‚ Dec. 1983. [52] D. Dudgeon‚ “Fundamentals of digital array processing‚” Proc. IEEE‚ vol. 65‚ no. 6‚ pp. 898–904‚ Jun. 1977. [53] M. Ghavami‚ L. B. Michael‚ and R. Kohno‚ Ultra Wideband Signals
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Module 2 Data Communication Fundamentals Version 2 CSE IIT‚ Kharagpur Lesson 1 Data and Signal Version 2 CSE IIT‚ Kharagpur Specific Instructional Objectives At the end of this lesson the students will be able to: • • • • • • • • • Explain what is data Distinguish between Analog and Digital signal Explain the difference between time and Frequency domain representation of signal Specify the bandwidth of a signal Specify the Sources of impairment Explain Attenuation and Unit of Attenuation
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Chapter 2 Basics of Vibration Dynamics Vibrations are mechanical oscillations about an equilibrium position. There are cases when vibrations are desirable‚ such as in certain types of machine tools or production lines. Most of the time‚ however‚ the vibration of mechanical systems is undesirable as it wastes energy‚ reduces efficiency and may be harmful or even dangerous. For example‚ passenger ride comfort in aircraft or automobiles is greatly affected by the vibrations caused by outside
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336 IEEE TRANSACTIONS ON POWER ELECTRONICS‚ VOL. 22‚ NO. 1‚ JANUARY 2007 Modulation-Based Harmonic Elimination Jason R. Wells‚ Member‚ IEEE‚ Xin Geng‚ Student Member‚ IEEE‚ Patrick L. Chapman‚ Senior Member‚ IEEE‚ Philip T. Krein‚ Fellow‚ IEEE‚ and Brett M. Nee‚ Student Member‚ IEEE Abstract—A modulation-based method for generating pulse waveforms with selective harmonic elimination is proposed. Harmonic elimination‚ traditionally digital‚ is shown to be achievable by comparison of a sine
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imfm.qxd 9/15/05 12:06 PM Page i INSTRUCTOR’S MANUAL FOR ADVANCED ENGINEERING MATHEMATICS imfm.qxd 9/15/05 12:06 PM Page ii imfm.qxd 9/15/05 12:06 PM Page iii INSTRUCTOR’S MANUAL FOR ADVANCED ENGINEERING MATHEMATICS NINTH EDITION ERWIN KREYSZIG Professor of Mathematics Ohio State University Columbus‚ Ohio JOHN WILEY & SONS‚ INC. imfm.qxd 9/15/05 12:06 PM Page iv Vice President and Publisher: Laurie Rosatone Editorial Assistant: Daniel
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ALGORITHMS FOR AUDIO WATERMARKING AND STEGANOGRAPHY NEDELJKO C VE JIC Department of Electrical and Information Engineering‚ Information Processing Laboratory‚ University of Oulu OULU 2004 NEDELJKO CVEJIC ALGORITHMS FOR AUDIO WATERMARKING AND STEGANOGRAPHY Academic Dissertation to be presented with the assent of the Faculty of Technology‚ University of Oulu‚ for public discussion in Kuusamonsali (Auditorium YB210)‚ Linnanmaa‚ on June 29th‚ 2004‚ at 12 noon. O U L U N Y L I O P
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KANNUR UNIVERSITY FACULTY OF ENGINEERING Curricula‚ Scheme of Examinations & Syllabus for Semesters VII & VIII of B.Tech. Degree Programme in Electronics & Communication Engineering with effect from 2007 Admissions SEVENTH SEMESTER Code Subject Hours/Week Sessional Marks University Examination L L T P/D Hrs Marks 2K6 EC 701 Microelectronics Technology 3 1 - 50 3 100 2K6 EC 702 Microwave Engineering 3 1 - 50 3 100 2K6 EC 703 Information Theory and Coding 3 1 - 50 3 100 2K6 EC 704 Television
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The fundamental frequency‚ often referred to simply as the fundamental‚ is defined as the lowest frequency of a periodic waveform. In terms of a superposition of sinusoids (e.g. Fourier series)‚ the fundamental frequency is the lowest frequency sinusoidal in the sum. In some contexts‚ the fundamental is usually abbreviated as f0 (or FF)‚ indicating the lowest frequency counting from zero.[1][2][3] In other contexts‚ it is more common to abbreviate it as f1‚ the first harmonic.[4][5][6][7][8] (The
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