Instructor
Srikrishna Bhashyam
Office: ESB 212D
Phone: 2257 4439
Pre-requisites
Signals and Systems
Textbook
U. Madhow, "Introduction to Communication Systems," Cambridge University Press, 2014.
Course Contents (1) Review of Signals and Systems -- Linear time-invariant systems, Fourier series, Fourier transform, Bandwidth, Baseband and passband signals, complex baseband representation of passband signals
(2) Amplitude Modulation (AM) -- Double Sideband - Suppressed carrier AM, Conventional AM, Single sideband AM, Vestigial sideband AM, Quadrature AM
(3) Angle Modulation -- Phase modulation (PM), Frequency modulation (FM), FM spectrum, Phase-locked loops
(4) Signal space representation -- Gram-Schmidt orthogonalization, orthogonal expansion of signals and approximation, vector representation, vector representation of channels
(5) Review of Probability -- Probability basics, Random variables, Random vectors, Independence of random variables, Moments, correlation matrix, covariance matrix, Gaussian random vectors -- Scaling and translation, Standard Gaussian, Joint Gaussianity, linear transformation of jointly Gaussian random vectors
(6) Random processes -- Basic definitions, Second-order statistics, Wide-sense stationarity and stationarity, Power spectral density, Gaussian random processes, Noise modeling, Filtering, Projection of Gaussian noise onto a signal space
(7) Binary modulation on the additive white Gaussian noise channel, Reduction to binary hypothesis testing
Lecture Notes
2017 Lecture Notes
Evaluation
As per Institute Academic Calendar
Quiz 1 (20%) -- Sep 6, 2017
Quiz 2 (20%) -- Oct 25, 2017
Assignments/Lecture Summary (10%)
Final (50%) -- Nov 16, 2017
Link to Moodle page
Click here.