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introduction to digital signal processing ee 4361

Notes Disclaimer. Class notes are offered as a supplement to your textbook, NOT a replacement for it Ultimately, you will be responsible for material in the textbook that I do not have time to cover in classYou should plan on studying 3 to 4 hours outside of class for every hour that you spend in class You will periodically find errors in the notes and also some in the book.

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introduction to digital signal processing ee 4361

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    1. Introduction To Digital Signal Processing EE 4361 Dr Pete Bernardin Telecommunications Engineering

    3. DSP Prerequisite: Signals & Systems EE 3302 Signals and Systems: Central Dogma of Engineering One of the most important courses in the undergraduate EE and TE curricula is Signals and Systems, EE/TE 3302 To borrow a felicitous phrase from the biologists, Signals and Systems conveys the "central dogma" of modern electrical engineering (i.e., electrical engineering beyond power lines and superheterodyne receivers) If anything, Signals and Systems contains even more fundamental intellectual content for a TE major than for an EE major, because all of modern telecommunications engineering depends on signals and systems concepts and design approaches. REFERENCE: Professor Cy Cantrell, Associate Dean EECS UTD, 4/11/03

    4. (Digital) Signal Processing Signal Processing deals with the enhancement, extraction, and representation of information for communication or analysis Many different fields of engineering rely upon signal processing technology Acoustics, telephony, radio, television, seismology, and radar are some examples Initially, signal processing systems were implemented exclusively with analog hardware However, recent advances in high-speed digital technology have made discrete signal processing systems more popular. Digital systems have an advantage over analog systems in that they can process signals with an extraordinary degree of precision Unlike the resistive and capacitive networks of analog systems, digital systems can be built numerically with the simple operations of addition and multiplication. Digital Signal Processing is a field of numerical mathematics that is concerned with the processing of discrete signals This area of mathematics deals with the principles that underlie all digital systems

    5. Practical, Inexpensive DSP System

    6. Electronic “Fax” via Portable Document Format

    7. DSP References DSP Books: J.G. Proakis and D.G. Manolakis, Digital Signal Processing: Principles, Algorithms, and Applications, Prentice Hall, 3rd Edition, 1996, ISBN 013373762- 4. S.S. Soliman and M.D. Srinath, Continuous and Discrete Signals and Systems, Prentice Hall, 1998, ISBN 013518473-8. A.V. Oppenheim and R.W. Schafer, Digital Signal Processing, Prentice Hall, 1975, ISBN 013214635-5. L.R. Rabiner, B. Gold, Theory and Application of Digital Signal Processing, Prentice Hall, 1975, ISBN 013914101-4. E.O. Brigham, The Fast Fourier Transform and Its Applications, Prentice Hall, 1988, ISBN 013307505-2. M.H. Hayes, Digital Signal Processing , Schaum’s Outline Series, McGraw Hill, 1999, ISBN 0-07-027389-8 DSP Papers (on my Website): R.W. Schafer and L. R. Rabiner, “A Digital Signal Processing Approach to Interpolation”, Proc. IEEE, vol.61, pp.692-702, June 1973. J. W. Cooley, P. Lewis, and P. D. Welch, “Historical Notes on the Fast Fourier Transform”, IEEE Transactions on Audio and Electroacoustics, June 1967 J. Cooley and J. Tukey, “An Algorithm for the Machine Calculation of Complex FourierSeries”, Mathematics of Computation, vol 19, 1965. Cooley, J. W.; Lewis, P. A. W.; Welch, P. D., “The Fast Fourier Transform: Programming Considerations in the Calculation of Sine, Cosine, and Laplace Transforms”, Journal of Sound Vibration and Analysis, 12(3), July 1970. G.D. Bergland, “A Guided Tour of the Fast Fourier Transform”, IEEE Spectrum, July 1969. J. O. Smith and P. Gossett, “A Flexible Sampling-Rate Conversion Method,” by Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, San Diego, March 1984 (ICASSP-84), Volume II, pp. 19.4.1–19.4.2. New York: IEEE Press.

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