

Semester Offering:  




To lay the theoretical foundation for understanding the behavior of deterministic and random signals in communication systems, and to complement the theory with extensive laboratory work.




Classifications of Signals. Fourier Analysis. Linear Time?Invariant Systems and Filtering. Random Variables, Stochastic Processes, and Noise. Spectral Characteristics of Random Signals. Matched Filters and Detection, Basics in Digital Communication, Introduction to Markov Processes.




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1. Signals
1. Periodic and Nonperiodic Signals
1. Fourier Series and Discrete Spectrum IV Signal Transmission Through LTI Systems
1. Impulse Response and Frequency Response of LTI Systems V. Random Variables, Stochastic Processes, and Noise
1. Probability and Random Variables: pdf and cdf, Transformations of Random Variables, Statistical Averages, Real and Complex Random Vectors, Probability Models VI. Digital Communication Basics
1. Matched Filters VII. Markov Processes
1. Introduction




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Learning Resources:  


Lecture Notes, Presentation Slides, and




T. Anttalainen:




IEEE Transactions on Communications




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The final grade will be computed from the following components: midsem exam (25%), final exam (50%), and assignments and labs (25%).

