UNDERGRADUATE COURSES
SIGNALS AND SYSTEMS
Description Undergraduate, Compulsory. Introduction to Signals and Systems. Elementary signals. Linear and Time Invariant Systems. Mechanical and electrical systems. Convolution. Fourier series. Fourier Transform. Laplace Transform. Applications of the Fourier and Laplace transform. Electric circuits. Analog Filters
DIGITAL SIGNAL PROCESSING
Description: Undergraduate, Specialization Elective. Introduction. Discrete time signals and systems. Sampling and quantization. Linear time invariant discrete time systems. Convolution. Z-transform. Frequency domain representation. Digital filters. Discrete orthogonal transforms.
STOCHASTIC SIGNAL PROCESSING
Description: Undergraduate, Elective. Foundations of the theory of probability. Discrete and continuous probability distributions. Random variables. Moments. Transformation of random variables. Stochastic processes. Stationarity, Wide-Sense Stationarity, Ergodicity. Power density spectrum. Filtering of WSS processes. Gaussian function and white noise. Parameter estimation. Spectral estimation