Note for Signals And Systems - SS by subarna sahoo

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Veer Surendra Sai University of Technology, Burla Department o f E l e c t r i c a l & E l e c t r o n i c s E n g g Subject: Signals and Systems-I Subject code: BEE-1605 Branch(semester): EEE (5th sem)

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SYLLABUS OF SIGNALS & SYSTEMS-I (3-1-0) MODULE-I (10 HOURS) Introduction of Signals, Classification of Signals, General Signal Characteristics, Signal energy & Power, Continuous-Time Signals , Discrete-Time Signals Basic System Properties, Systems with and without memory, Invertibility, casuality, Stability, Time invariance, Linearity, Linear Time Invariant (LTI) Systems, Discrete Time LTI Systems, Convolution Representation of Linear Time-Invariant Discrete-Time Systems Convolution of Discrete-Time Signals Convolution Representation of Linear Time-Invariant Continuous-Time Systems Convolution of Continuous-Time Signals, Properties of LTI Systems, Casual systems MODULE-II (10 HOURS) Fourier Representations for Signals: Representation of Discrete Time Periodic signals, Continuous Time Periodic Signals, Discrete Time Non Periodic Signals, Continuous Time Non-Periodic Signals, Properties of Fourier Representations, Frequency Response of LTI Systems, Fourier Transform representation for Periodic and discrete time Signals, Sampling, reconstruction, Discrete Time Processing of Continuous Time Signals, Fourier Series representation for finite duration Nonperiodic signals. MODULE-III (10 HOURS) Modulation Types and Benefits, Full Amplitude Modulation, Pulse Amplitude Modulation, Multiplexing, Phase and Group delays Representation of Signals using Continuous time Complex Exponentials: Laplace Transform, Unilateral Laplace Transform, its inversion, Bilateral Laplace Transform, Transform Analysis of Systems MODULE-IV (10 HOURS) Representation of Signals using Discrete time Complex Exponentials: The Z-Transform, Properties of Region of convergence, Inverse Z-Transform, Transform Analysis of LTI Systems, Unilateral Z Transform. BOOKS [1] Simon Haykin and Barry Van Veen, “Signals and Systems”, John Wiley & Sons. [2] Alan V. Oppenheim, Alan S. Willsky, with S. Hamid, S. Hamid Nawab, “Signals and Systems”, PHI. [3] Hwei Hsu, “Signals and Systems”, Schaum's Outline TMH [4] Edward w. Kamen and Bonnie s. Heck, “Fundamentals of Signals & systems using Web and MATLAB”, ***

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Disclaimer This document does not claim any originality and cannot be used as a substitute for prescribed textbooks. The information presented here is merely a collection by the committee members for their respective teaching assignments. Various sources as mentioned at the end of the document as well as freely available material from internet were consulted for preparing this document. The ownership of the information lies with the respective authors or institutions. Further, this document is not intended to be used for commercial purpose and the committee members are not accountable for any issues, legal, or otherwise, arising out of this document. The committee members make no representations or warranties with respect to the accuracy or completeness of the contents of this document and specially disclaim any implied warranties of merchantability or fitness for a particular purpose. The committee members shall not be liable for any loss or profit or any other commercial damages, including but not limited to special, incidental, consequential, or other damages.

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Contents Lecture 1- Introduction of Signals and system Lecture 2- Classification of Signals Lecture 3- Classification of Signals (continued) Lecture 4- General Signal Characteristics Lecture 5- Operation on signals Lecture 6- Fundamentals of Systems Lecture 7- System properties Lecture 8- System properties (continued) Lecture 9- Linear Time Invariant System Lecture 10- Convolution of Linear Time-Invariant Discrete-Time Signals Lecture 11- Convolution Representation of Linear Time-Invariant Continuous-Time Systems Lecture 12- Properties of LTI Systems, Casual systems Lecture 13- Fourier Representations for Signals: Lecture 14- Fourier Representations of Continuous Time Periodic Signals Lecture 15- Fourier Representations of Discrete Time Periodic signals Lecture 16- Fourier Representations of Continuous Time Non Periodic Signals Lecture 17- Fourier Representations of Discrete Time Non Periodic Signals Lecture 18- Properties of Fourier Representations Lecture 19- Properties of Fourier Representations (continued) Lecture 20- Frequency Response of LTI Systems Lecture 21- Fourier Transform representation for Periodic and discrete time Signals Lecture 22- Sampling Lecture 23- Reconstruction Lecture 24- Discrete Time Processing of Continuous Time Signals Lecture 25- Fourier Series representation for finite duration Nonperiodic signals.