MATLAB-based program for teaching autocorrelation function and noise concepts

IEEE Transactions on Education

Volumn 55, Issue 3, 2012, Pages 349-356

  Jovanovic Dolecek, Gordana ^a  

^a INSTITUTO NACIONAL DE ASTROFÍSICA   (Mexico)

Author keywords

Autocorrelation function (ACF); Gaussian band limited noise; Gaussian white noise (GWN); non Gaussian white noise; power spectral density (PSD)

Indexed keywords

AUTOCORRELATION FUNCTIONS; BAND-LIMITED NOISE; GAUSSIAN WHITE NOISE; NON-GAUSSIAN; POWER SPECTRAL DENSITIES (PSD);

GAUSSIAN NOISE (ELECTRONIC); POWER SPECTRAL DENSITY; REGRESSION ANALYSIS; TEACHING; WHITE NOISE;

MATLAB;

EID: 84864671096     PISSN: 00189359     EISSN: None     Source Type: Journal    
DOI: 10.1109/TE.2011.2176736     Document Type: Article

References (18)

1. A. Leon-Garcia, Probability and Random Processes for Electrical Engineering, 3rd ed. Upper Saddle River, NJ: Prentice-Hall, 2008.
2. R. Quere, M. Lalande, J. N. Boutin, and C. Valente, "An automatic characterization ofGaussian noise source for undergraduate electronics laboratory," IEEE Trans. Educ., vol. 38, no. 2, pp. 126-130, Feb. 1995.
3. A. Lopez-Martin, "Teaching random signals and noise: An experimental approach," IEEE Trans. Educ., vol. 47, no. 2, pp. 174-179, May 2004.
4. J. J. Castro-Sanchez, E. Castillo, J. Hortolano, and A. Rodriguez, "Designing and using software tools for educational purposes: FLAT, a case study," IEEE Trans. Educ., vol. 52, no. 1, pp. 66-74, Feb. 2009.
5. C. Depcik and D. N. Assanis, "Graphical user interfaces in an engineering educational environment," Comput. Appl. Eng. Educ., vol. 10, no. 13, pp. 48-59, Feb. 2005, 2005.
6. J. Wilson and W. Jennings, "Studio courses: How information technology is changing the way we teach, on campus and off," Proc. IEEE, vol. 88, no. 1, pp. 72-80, Jan. 2000.
7. N. I. Sarkar and T. M. Craig, "Teaching wireless communication and networking fundamentals using Wi-Fi projects," IEEE Trans. Educ., vol. 49, no. 1, pp. 98-104, Feb. 2006.
8. P. Pandey and C. Zimitat, "Medical student's learning of anatomy: Memorization, understanding and visualization," Med. Educ., vol. 41, no. 1, pp. 7-14, Jan. 2007.
9. T. C. Hung, S. K. Wang, S. W. Tai, and C. T. Hung, "An innovative improvement of engineering learning system using computational fluid dynamics concept," Comput. Educ., vol. 48, no. 1, pp. 44-58, Jan. 2007.
10. G. S. Ng, "Teaching effectively with visual effect in an image-processing class," Comput. Appl. Eng. Educ., vol. 5, no. 2, pp. 111-114, 1997.
11. M. Duran, S. Gallardo, and S. Toral, "A learning methodology using MATLAB/Simulink for undergraduate electrical engineering courses attending to learner satisfaction," Int. J. Technol. Design Educ., vol. 17, no. 1, pp. 53-73, 1997.
12. G. Jovanovic Dolecek, "RANDEMO-Educational software for random signal analysis," Comput. Appl. Eng. Educ., vol. 5, no. 2, pp. 93-97, 1997.
13. G. Jovanovic Dolecek and F. Harris, "On MATLAB demonstrations of narrowband Gaussian noise," Comput. Appl. Eng. Educ., vol. 19, no. 3, pp. 598-603, 2011.
14. G. Jovanovic Dolecek, "Interactive MATLAB-based demo program for sum of independent random variables," Comput. Appl. Eng. Educ., 2010, to be published.
15. G. Jovanovic Dolecek and F. Harris, "Understanding histograms, probability and probability density using MATLAB," in Proc. ASEE PSW Conf., San Diego, CA, Mar. 2009, pp. 332-345.
16. A. Herrera, "Design of course of random signals using MATLAB," in Proc. 26th Annu. Frontiers Educ. Conf., Salt Lake City, UT, Nov. 1996, vol. 3, pp. 1219-1222.
17. O. Iglesias, C. Paniagua, and R. Pessacq, "Evaluation of university educational software," Comput. Appl. Eng. Educ., vol. 5, no. 3, pp. 181-188, 1997.
18. E. D. Lindsay and M. C. Good, "Effects of laboratory access modes upon learning outcomes," IEEE Trans. Educ., vol. 48, no. 4, pp. 619-631, Nov. 2005.