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Course Detail

Course Name Signal Processing Lab
Course Code 19CCE281
Program B. Tech. in Computer and Communication Engineering
Semester Three
Year Taught 2019

Syllabus

  1. Representation of Sinusoidal Signals and Spectrum.
  2. Basic operations on signal.
  3. LTI systems – convolutions.
  4. Fourier Series Representation of Periodic signals.
  5. Time and Frequency Response of LTI Systems.
  6. Sampling.
  7. Properties of DFT – circular convolution.
  8. Efficient computation of DFT algorithms.
  9. FIR Filter Design and Analysis.
  10. IIR Filter Design and Analysis.
  11. Term Project.

Textbook

  • John G. Proakis, “Digital Signal Processing: Principles Algorithms and Applications Using Matlab”, Pearson Education India.
  • Mitra, Sanjit Kumar, and YonghongKuo,”Digital Signal Processing: AComputer-based Approach”, 2nd edition, Tata McGraw-Hill.

Reference

  • Alan V, Oppenheim, Ronald W., Schafer A., “Digital Signal Processing”, PHI Publishers

Evaluation Pattern

Assessment Internal External
*Continuous Assessment 80 –
End Semester – 35
*CA – Can be Quizzes, Assignment, Projects, and Reports.

Objectives and Outcomes

Objectives

  • To get familiarized with time and frequency domain representations of signals and systems
  • To get familiarized with frequency response of a systems
  • To get familiarized with designing of digital filters

Course Outcomes

  • CO1: Able to understand the time and frequency domain representation of discrete time signals
  • CO2: Able to analyze the time and frequency domain response of discrete time systems
  • CO3: Able to design FIR and IIR filter for the given specifications and simulate the frequency response
  • CO4: Able to design, simulate and analyze a DSP based systems for simple applications

CO – PO Mapping

PO/PSO/CO PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 PSO1 PSO2
CO1 3 – – – 3 – – – – – – – 3 –
CO2 3 3 – – 3 – – – – – – – 3 –
CO3 2 3 3 – 3 – – – – – – – 3 –
CO4 2 3 3 – 3 – – – – – – – 3 2

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