Signals and Systems: Foundations and Applications
Explore essential engineering concepts through in-depth study of signal processing principles, system behavior analysis, and mathematical modeling techniques.
Explore essential engineering concepts through in-depth study of signal processing principles, system behavior analysis, and mathematical modeling techniques.
Explore the essential concepts of signals and systems in this foundational course designed for engineering students. Dive into the mathematical framework underlying various signal processing applications, from phone calls to medical imaging. Learn to analyze and characterize signals, understand Linear Shift Invariant Systems, and master key techniques like convolution and Fourier Transform. This course provides crucial knowledge for further studies in electrical engineering, control systems, and digital signal processing.
Instructors:
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What you'll learn
Unify abstractions for various systems to create common system descriptions
Identify and analyze properties of different systems
Master the concepts of Linear Shift Invariant Systems
Represent and analyze signals and systems using Fourier domain techniques
Apply convolution techniques to analyze system responses
Understand the fundamentals of signal processing in real-world applications
Skills you'll gain
This course includes:
Scheduled video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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Module Description
This course provides a comprehensive introduction to signals and systems, a fundamental topic in electrical engineering and related fields. It covers the mathematical framework necessary for analyzing and processing signals in various applications, from telecommunications to medical imaging. The curriculum includes properties of signals and systems, characterization of Linear Shift Invariant Systems, convolution, and Fourier Transform. Students will learn to abstract and unify concepts across different types of systems, identify system properties, and represent signals and systems in the Fourier domain. This course serves as a foundation for advanced topics in control systems, communication systems, power systems, and digital signal processing.
Fee Structure
Instructor
Distinguished Signal Processing Expert and Educational Leader at IIT Bombay
Professor Vikram M. Gadre is a prominent faculty member in the Department of Electrical Engineering at IIT Bombay, with a career spanning over two decades at the institute. He received his Ph.D. in Electrical Engineering from IIT Delhi in 1994 and has since made significant contributions to both research and education at IIT Bombay. Gadre's expertise lies in communication and signal processing, with a focus on multiresolution and multirate signal processing, especially wavelets and filter banks.
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