Faculty : Faculty of Engineering and Applied Sciences

School : Electronics and Communications Engineering

Course Description :

An introduction to information theory methods used in the analysis and design of communication systems. Typical topics include: entropy, relative entropy and mutual information; the asymptotic equipartition property; entropy rates of stochastic process; data compression; Kolmogorov complexity; channel capacity; differential entropy; the Gaussian channel; maximum entropy and mutual information; rate distortion theory; network information theory; algebraic codes.

Faculty : Faculty of Engineering and Applied Sciences

School : Electronics and Communications Engineering

Course Description :

Basics of error control coding for reliable digital transmission and storage. Reed Muller codes, cyclic codes, Reed Solomon codes, convolution codes, concatenated codes, turbo codes, and low density parity check codes.

Faculty : Faculty of Engineering and Applied Sciences

School :

Course Description :

2-D sequences and systems, separable systems, reconstruction from projections and partial Fourier information, Z- transform, different equations, recursive computability, 2D DFT and FFT, 2D FIR filter design; human eye, perception, psychophysical vision properties, photometry and colorimetry, optics and image systems; image enhancement, image restoration, geometrical image modification, morphological image processing, half toning, edge detection, image compression: scalar quantization, lossless coding, Huffman coding, arithmetic coding dictionary techniques, waveform and transform coding DCT, KLT, Hadammard, multiresolution coding pyramid, subband coding, Fractal coding, vector quantization, motion estimation and compensation, standards: JPEG, MPEG, H.xxx, pre- and post-processing, scalable image and video coding, image and video communication over noisy channels.

Faculty : Faculty of Engineering and Applied Sciences

School : Electronics and Communications Engineering

Course Description :

A study of theory and practice in the design and implementation of DSP algorithms on programmable processors, multiprocessors, and ASICs. Specification, evaluation, and implementation based environments of real-time DSP software applications on embedded DSP.

Faculty : Faculty of Engineering and Applied Sciences

School : Electronics and Communications Engineering

Course Description :

Fundamentals of modern microwave engineering with emphasis on microwave network analysis and circuit design. Review of Microwave transmission lines, including waveguide, coax, microstrip, and stripline. Microwave circuit theory, including S-parameters, ABCD matrices, equivalent circuits, and signal flow graphs. Analysis and design of passive microwave circuits and components including matching networks, microwave resonators, power dividers, directional couplers, filters, and ferrite components. Noise and noise effects in microwave systems. Analysis and design of active microwave circuits, including detectors, mixers, PIN diode switches, transistor amplifiers, and oscillators.