EC3354 Signals and Systems Syllabus - Anna University
Explore the Anna University EC3354 Signals and Systems syllabus for Electronics and Communication Engineering students.
EC3354 SIGNALS AND SYSTEMS
L T P C
3 1 0 4
COURSE OBJECTIVES:
- To understand the basic properties of signal & systems
- To know the methods of characterization of LTI systems in time domain
- To analyze continuous time signals and system in the Fourier and Laplace domain
- To analyze discrete time signals and system in the Fourier and Z transform domain
UNIT I CLASSIFICATION OF SIGNALS AND SYSTEMS
Standard signals- Step, Ramp, Pulse, Impulse, Real and complex exponentials and Sinusoids_Classification of signals – Continuous time (CT) and Discrete Time (DT) signals, Periodic & Aperiodic signals, Deterministic & Random signals, Energy & Power signals - Classification of systems- CT systems and DT systems- – Linear & Nonlinear, Time-variant& Time-invariant,Causal & Non-causal, Stable & Unstable.
UNIT II ANALYSIS OF CONTINUOUS TIME SIGNALS
Fourier series for periodic signals - Fourier Transform – properties- Laplace Transforms and Properties
UNIT III LINEAR TIME INVARIANT CONTINUOUS TIME SYSTEMS
Impulse response - convolution integrals- Differential Equation- Fourier and Laplace transforms in Analysis of CT systems - Systems connected in series / parallel.
UNIT IV ANALYSIS OF DISCRETE TIME SIGNALS
Baseband signal Sampling–Fourier Transform of discrete time signals (DTFT)– Properties of DTFT - Z Transform & Properties
UNIT V LINEAR TIME INVARIANT-DISCRETE TIME SYSTEMS
Impulse response–Difference equations-Convolution sum- Discrete Fourier Transform and Z Transform Analysis of Recursive & Non-Recursive systems-DT systems connected in series and parallel.
TOTAL: 30+30 PERIODS
COURSE OUTCOMES:
At the end of the course, the student will be able to:
- CO1: Determine if a given system is linear/causal/stable
- CO2: Determine the frequency components present in a deterministic signal
- CO3: Characterize continuous LTI systems in the time domain and frequency domain
- CO4: Characterize discrete LTI systems in the time domain and frequency domain
- CO5: Compute the output of an LTI system in the time and frequency domains
TEXT BOOKS:
- Oppenheim, Willsky and Hamid, "Signals and Systems", 2nd Edition, Pearson Education, New Delhi, 2015.(Units I - V)
- Simon Haykin, Barry Van Veen, "Signals and Systems", 2nd Edition, Wiley, 2002
REFERENCES:
- B. P. Lathi, "Principles of Linear Systems and Signals", 2nd Edition, Oxford, 2009.
- M. J. Roberts, "Signals and Systems Analysis using Transform methods and MATLAB", McGraw- Hill Education, 2018.
- John Alan Stuller, "An Introduction to Signals and Systems", Thomson, 2007.