Department of Electrical Engineering
Indian Institute of Technology Bombay
The department is actively engaged in research areas ranging from practical implementation to theoretical investigations. Much of this research is funded by national and international funding agencies, both government and corporate. The research is published in leading international journals and conferences.
The Electrical Engineering Department is one of the largest departments in the institute and also in the country. Currently there are about 1100 students enrolled in various academic programs, about 200 project employees in various sponsored projects, about 30 technical staff, 30 administrative staff and about 60 faculty members. In addition, many prominent researchers/teachers across the world hold visiting appointments in the department.
The department, through the Electrical Engineering Students Association EESA, maintains regular contact with its alumni, many of whom are well-known and established in their careers across the world.
IITB Calendar directs you to the IITB academic calendar containing information about the academic activities such as orientation and registration of the new and already enrolled students, semester exams, vacation, dessertation and annual progress seminar details and details of other important events of the ongoing year.
Timetable directs you the course timetable and exam timetable.
Seminar and Events direct you to the list of recently held seminars and events respectively at Electrical Department, IITB.
The Department of Electrical Engineering (EE) is one of the major Departments of IIT Bombay since its inception in 1958. The department is very active in teaching and research in the areas of Communications and Signal Processing, Control and Computing, Power Electronics and Power Systems, Microelectronics and VLSI design, and Electronic Systems.
ADVANCED TOPICS IN SIGNAL PROCESSING
A subset of these topics will be covered:
Introduction : Topics in DSP, linear algebra, and Discrete-time random processes (as needed)
Spectral estimation (temporal):Non-parametric spectrum estimation, Parametric methods for rational spectra (ARMA, MA, AR processes) and line spectra
Array signal processing (spatial): Subspace algorithms - MUSIC, ESPRIT, Root-MUSIC, Applications - direction-of-arrival (DOA) estimation, signal separation
Optimum filltering (Wiener-Hopf equations, Wiener fillters)
Gradient based adaptive filters (LMS)
Recursive least squares
Other potential topics: Neural networks, Kalman filter, Signal analysis: PCA, LDA, ICA, NMF, Least-squares signal processing
Monson H. Hayes, “Statistical signal processing and modeling”, Wiley India Pvt. Ltd., 2002. (Indian edition available)
Petre Stoica and Randolph Moses, “Spectral analysis of signals”, Prentice Hall, 2005. (Indian edition available)
Charles W. Therrien, “Discrete random signals and statistical signal processing”, Charles W. Therrien, 2004.
Research publications from journals.
© Department of Electrical Engineering
Students' Reading Group