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ECEN 5060: Distributed Signal Processing & Data Fusion (Spring 2010) (Fall 2009) Prerequisites: Statistics, Probability, Random Signal and Noises Text: Probability and Random Processes with Applications to Signal Processing 3 rd edition, Henry Stark and John W. Woods, Prentice Hall, 2002Topics: Introduce some basic principles of probability, random variables and random processes to deal with stochastic system involving random process and noise through mathematical analysis and computer simulations. Probability theory Random variable Operations on one random variable Multiple Random Variables or Random Vectors Central Limit Theorem Operations on multiple random variables Random sequences Random processes Spectral analysis of random processes Linear Systems with random inputs ECEN 5060: Wireless Communication Systems (Spring 2007, Spring 2008, Spring 2009)
ECEN4523: Communication Theory (Fall 2006, Fall 2007, Fall 2008, Fall 2009) Prerequisites: ECEN 3513 (Signal Analysis) Linear algebra Probability theory Complex functions Fourier series/transformText: B. P Lathi and Z. Ding, Modern Digital and Analog Communication Systems, 4th Edition, Oxford University Press, 2009. Topics: This course provides the fundamental theory and applications of the transmitters and receivers that are used in all existing communication systems. Review of signals and systems Modulation / Demodulation Review of probability theory and random processes Analog Communication in the presence of noise Digital signals Digital Communication in the presence of noise
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Lasted Update 2009-09-11 410 Engineering South, Oklahoma State University, Stillwater, OK 74078 |
