Principles of Signals and Systems
Indian Institute of Technology Kanpur and NPTEL via Swayam
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Overview
This course is suitable for all UG/PG students and practicing engineers/ managers who are looking to build a solid grasp of the fundamental concepts of signals and systems as well as students/ professionals preparing for their college/ university/ competitive exams.
INTENDED AUDIENCE :
- Students in Electrical Engineering, Electronics and Communication Engineering
- Practicing engineers
- Technical and Non-technical managers of telecomm companies
- Students preparing for competitive exams with Signals and Systems subject
INDUSTRY SUPPORT : Most companies in Electronics, Communication and Signal Processing. Examples are Qualcomm, Broadcom, Intel, Sasken etc.
Syllabus
COURSE LAYOUT
Week 1:Introduction to Signals, Signal Classification, Continuous/ Discrete Time SignalsWeek 2:Definition and Classification of Systems, Linear Time Invariant (LTI) Systems
Week 3:Properties of LTI Systems, Impulse Response, Convolution, Causality, Stability
Week 4:Impulse Response of Discrete Time Systems, Discrete Time Convolution, Difference Equations and Analysis
Week 5: Laplace Transform, Properties of Laplace Transform, Inverse Laplace Transform
Week 6:Introduction to z-Transform, Properties of z-Transform, Region of Convergence, Inverse z-Transform
Week 7:Introduction to Fourier Analysis, Fourier Series for Periodic Signals, Properties of Fourier Series
Week 8: Introduction to Fourier Transform, Properties of Fourier Transform, Frequency Response of Continuous Time Systems, Examples of Frequency Response
Week 9: Fourier Analysis of Discrete Signals, Discrete Time Fourier Transform (DTFT), Properties of DTFT, Examples of DTFT
Week 10: Frequency Response of Discrete Time Systems, Discrete Fourier Transform (DFT), Properties of DFT, Examples of DFT
Week 11:IIR/ FIR Filters, Direct Form Realization, Cascade and Parallel Form Realization, Problem Solving
Week 12:Concept of State, State Space Analysis, State Space Representation of Continuous Time Systems, Solution of State Equations for Continuous Systems
Taught by
Aditya K. Jagannatham
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