References - Random Signals and Processes Primer with MATLAB - page 511

References
[AGR07] A. Agresti, C. Franklin, “ Statistics, the Art and Science of Learning from Data, ”
Pearson Prentice Hall, New Jersey, 2007.
[BRE69] L. Breiman, “ Probability and Stochastic Processes with a View Toward Applications, ”
Houghton Mifflin Company, Boston, 1969.
[BRO97] R. G. Brown, P. Y. C. Hwang, “ Introduction to Random Signals and Applied Kalman
Filtering, ” John Wiley & Sons, New York, 1997 (Third Edition).
[BURR94] C. S. Burrus, at all, “ Computer-Based Exercises for Signal Processing Using
MATLAB ,” Prentice Hall, New Jersey, 1994.
[CAR75] B. Carlson, “ Communication Systems ”, Mc Graw Hill Inc. New York, 1975.
[CHI97] D. G. Childers, “ Probability and Random Processes ,” The McGraw-Hill, Inc, New
York, 1997.
[DAV87] W. B. Davenport, W. L. Root, “ An Introduction to the Theory of Random Signals and
Noise,” IEEE Press, New York, 1987.
[ENG07] S. Engelberg, “ Random Signals and Noise: A Mathematical Introduction, ” CRC Press,
Boca Raton, 2007.
[GNE82] B. V. Gnedenko, “ The Theory of Probability ,” MIR Publishers, Moscow, 1982 (Fifth
Edition).
[HAD06] A. H. Haddad, “ Probabilistic Systems and Random Signals ,” Pearson Education Inc.,
New Jersey, 2006.
[HAN96] D. Hanselman, B. Littlefield, “ Mastering MATLAB: A Comprehensive Tutorial and
Reference ,” Prentice Hall, New Jersey 1996.
[HEL91] C. W. Helstrom, “ Probability and Stochastic Processes for Engineers ,” Macmillan
Publishing Company, New York, 1991.
[HSU93] H. P. Hsu, “Theory and Problems of Analog and Digital Communications,” McGraw-
Hill, New York, 1993.
[JOV11a] G. Jovanovic Dolecek, “MATLAB-based Program for Teaching Autocorrelation
Function and Noise Concepts,” IEEE Transactions on Education Published on line
2011 (vol-pp, Issue 99).
[JOV11b] G. Jovanovic Dolecek, F. Harris, “On MATLAB Demonstrations of Narrowband
Gaussian noise,” Computer Applications in Engineering Education. , vol. 19, No. 3,
pp. 598-603, Sept. 2011.
[JOV10] G. Jovanovic Dolecek, “Interactive MATLAB-based demo program for sum of inde-
pendent random variables,” Computer Applications in Engineering Education ,
published online 2010.
[JOV09] G. Jovanovic Dolecek, F. Harris, ”Understanding Histograms, Probability and Proba-
bility Density Using MATLAB,“ American Society for Engineering Education-Pacific
Soithwest Conference, ASEE PSW-2009 , San Diego, March, 19-20, 2009.