This course provides the basic toolkit for any signal processing application - the abstraction of signals and systems, from the point of view of analysis and characterization.With this course you earn while you learn, you gain recognized qualifications, job specific skills and knowledge and this helps you stand out in the job market.
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About this course
High school mathematics: Sequence and series, algebra of complex numbers, basic trigonometry.
Calculus: Differential and Integral calculus (single variable). Knowledge of differential equations is helpful but not required.
Concepts from EE210.1x: Analysis of continuous and discrete signals and systems in the natural/time domain, convolution, Continuous time Fourier analysis - the continuous Fourier Series and Fourier transform.
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This centre's achievements
2017
All courses are up to date
The average rating is higher than 3.7
More than 50 reviews in the last 12 months
This centre has featured on Emagister for 8 years
Subjects
IT
Engineering
Systems
Softwares
Signals
Course programme
We encounter signals and systems extensively in our day-to-day lives, from making a phone call, listening to a song, editing photos, manipulating audio files, using speech recognition softwares like Siri and Google now, to taking EEGs, ECGs and X-Ray images. Each of these involves gathering, storing, transmitting and processing information from the physical world. This course will equip you to deal with these tasks efficiently by learning the basic mathematical framework of signals and systems. This course is divided into two parts. In the first part (EE210.1x), we explored the various properties of signals and systems, characterization of Linear Shift Invariant Systems, convolution and Fourier Transform. Building on that, in this part (EE210.2x) we will deal with the Sampling theorem, Z-Transform, discrete Fourier transform and Laplace transform. The contents of the first part are prerequisites for doing this part. Ideas introduced in this course will be useful in understanding further electrical engineering courses which deal with control systems, communication systems, power systems, digital signal processing, statistical signal analysis and digital message transmission. The concepts taught in this course are also useful to students of other disciplines like mechanical, chemical, aerospace and other branches of engineering and science.
Additional information
Vikram Gadre Prof. Vikram Gadre received his Ph. D in Electrical Engineering from Indian Institute of Technology (IIT) Delhi in 1994, and thereafter has been working at IIT Bombay. He is currently the head of Centre for Distance Engineering Education. His research areas are communication and signal processing. He has taught 16 courses like signals and systems, control systems. He received 'Excellence in Teaching' award from IIT Bombay in 1999, 2004, and 2009. He has guided sponsored research projects for organizations like Tata Infotech, Texas Instruments, and 9 PhD, 65 M.Tech and Dual Degree, and 45 B.Tech projects. He has authored two books and has published 60 conference proceedings, 23 journal papers, and chapters in edited monographs.