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Matlab-Based Program for Teaching Autocorrelation Function and Noise Concepts

Bibliographic Data

ID20298014
AuthorsGordana Jovanović Doleček (0000-0003-1258-5176, National Institute of Astrophysics, Optics and Electronics, corresponding author)
Year2012
Volume55
Issue3
Pages349-356
Publication date2012-08-01
Open AccessYes
TypeARTICLE
VenueIEEE Transactions on Education (JOURNAL)
Journal identifiersISSN: 0018-9359 • E-ISSN: 1557-9638
PublisherInstitute of Electrical and Electronics Engineers (IEEE) (PUBLISHER)
DOI10.1109/te.2011.2176736
OpenAlexW2132150914
LanguageEN
Citations received1
References cited19

An attractive MATLAB-based tool for teaching the basics of autocorrelation function and noise concepts is presented in this paper. This tool enhances traditional in-classroom lecturing. The demonstrations of the tool described here highlight the description of the autocorrelation function (ACF) in a general case for wide-sense stationary (WSS) processes, and for several important special processes including Gaussian white noise (GWN), non-Gaussian white noise, and Gaussian non-white noise. The demonstrations were designed for and introduced in the graduate-level course “Introduction to Communications,” but would also be appropriate at the undergraduate level in various courses on signals or communications, or in a basic course on probability and random variables. The course description and program evaluations are also included

Additive white Gaussian noise · Algorithm · Autocorrelation · Electronic engineering · Function (biology) · Gaussian · Gaussian noise · MATLAB · Noise (video) · Physics · Programming language · Statistics · Telecommunications · White noise · Artificial Intelligence · Computer Science · Engineering · Engineering Education and Pedagogy · Experimental Learning in Engineering · Mathematics · Sensor Technology and Measurement Systems

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Citations per year0.08
Citation span2014 - 2014 (1)
Highly citedNo

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