Textbooks.
Signals, Systems and Inference, Alan Oppenheim and George Verghese, Pearson, 2016.
Introduction to Probability (2nd Edition), Dimitri Bertsekas and John Tsitsiklis, Athena Scientific, 2008.
References. The following references contain topics relevant to this course, and you might want to consult them.
Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis, Michael Mitzenmacher and Eli Upfal, Cambridge University Press, 2017.
Statistical Inference (2nd edition), George Casella and Roger Berger, Cengage Learning, 2002.
Information Theory, Inference, and Learning Algorithms, David MacKay, Cambridge University Press, 2003.
Random Processes for Engineers, Bruce Hajek, Cambridge University Press, 2015.
Principles of Communications (7th edition), Rodger Ziemer and William Tranter, Wiley, 2014.
Linear Regression Analysis (2nd Edition), George Seber and Alan Lee, Wiley Series in Probability and Statistics, 2003.
Probabilistic Graphical Models: Principles and Techniques, Daphne Koller and Nir Friedman, The MIT Press, 2009.