EE283: Signals and Systems for Computer Engineering

Course Number : EE283
Course Title : Signals and Systems for Computer Engineering
Credits : 3
Prerequisites : None
No Course Content Time Allocated (hours)
      L T P A
01 Fundamental Concepts of Signals & Systems:
Signals & Systems, Continuous-time and Discrete time signals, Signal Energy & Power, Transformation of the independent variables, Unit Impulse & unit-step functions, Classification of LTI systems, Basic system properties, Convolution integral and convolution sum, Unit impulse and unit step responses.
8 1 3 1
02 Fourier Series:
Periodic signals, Trigonometric Fourier series, Exponential Fourier series, Properties of Fourier series, Parseval’s theorem, Power spectral density, Fourier series and LTI systems
5 1 3  
03 Fourier Transform:
Fourier transform & Inverse transform, Fourier transform pairs, Properties of Fourier transform, System analysis with Fourier transform, Fourier transform of periodic signals, Energy spectral density, Autocorrelation function, Power spectral density and energy spectral density via autocorrelation.
8 1 3 2
04 System Function of LTI systems:
Characterization of LTI systems using Laplace transform, Transfer function, Impulse response & unit-step response, Response of LTI systems to sinusoids and arbitrary inputs, Convolution integral.
5 1 3 2
05 Stability of LTI systems:
Poles and zeros Bounded input - bounded output (BIBO) stability, Properties of the transfer function of stable systems, Routh-Hurwitz test for stability.
4 1 3 2
06 Frequency Response of LTI systems:
Transfer function & frequency response, Magnitude response and phase response, Frequency response plots (Bode plot).
5   3 1
07 Introduction to Analogue Filters:
Ideal low-pass, high-pass, band-pass and band-reject filters, Introduction to real filters.
4 1 3 1
Total 36 6 21 9
Assessment Percentage Marks
Continuous Assessment 30  
         Assignments   15
         Practicals   15
Written Examinations 70  
         Mid-semester   20
         End-semester   50
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