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Course Detail

Course Name Signal Processing
Course Code 19CCE204
Program B. Tech. in Computer and Communication Engineering
Semester Three
Year Taught 2019


Unit 1

Basic signals: unit step, unit impulse, sinusoidal and complex exponential signals – Types of signals- Basic operations on signals-system properties-Time Domain characterization of continuous time and discrete time LTI system-Convolution Integral-Convolution sum-Analysis of LTI system described by differential and difference equations.

Unit 2

Discrete Fourier transforms: Fourier Transform, Fourier analysis of discrete time signals and systems: Discrete time Fourier series – Discrete Time Fourier Transform – properties of DTFT – Introduction to DFT- properties of DFT – linear filtering methods based on DFT – FFT algorithms.

Unit 3

Digital filters: Introduction, specifications of practical filters, Characteristics of commonly used analog filters – IIR filters: design by approximation of derivatives – impulse invariance and bilinear transformation – Butterworth filter- frequency transformations for analog and digital filters, Structures for IIR systems. FIR filters: symmetric and anti-symmetric FIR filters – design of linear phase FIR filter using windows –Structures for FIR systems – direct form structures, Linear phase and cascade form structures.


  • Simon Haykin, Barry Van Veen, “Signals and Systems”, Second Edition, John Wiley and Sons, 2007.
  • Alan V. Oppenheim, Alan S. Wilsky, S, Hamid Nawab, “Signals and Systems”, Prentice Hall India private Limited, Second Edition, 1997.


  • John G Proakis, G. Manolakis, “Digital Signals Processing Principles, Algorithms, Applications”, Prentice Hall India Private Limited, Fourth Edition, 2007.
  • Sanjit K. Mitra, “Digital Signal Processing:A computer based approach”, Tata McGraw Hill Publishing Company Limited, Fourth Edition,2010.
  • Allen V. Oppenheim, Ronald W. Schafer, “Discrete time Signal processing”, Prentice Hall India Private Limited,
    Third Edition, 2013.

Objectives and Outcomes


  • To understand the fundamental characteristics of signals and systems
  • To understand signals and systems in terms of both the time and frequency domains
  • To introduce the frequency domain concepts and filter design in signal processing applications

Course Outcomes

  • CO1: Able to represent the basic continuous time and discrete time signals and systems
  • CO2: Able to apply frequency domain transformations on different signals
  • CO3: Able to design a digital filters for the given specifications
  • CO4: Able to realize a filters with the suitable structures and develop simple DSP based systems

CO – PO Mapping

CO1 2 2 2
CO2 3 2 2
CO3 3 2 2 2 3 2
CO4 3 3 3 2 3 2

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