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Discrete-Time Signal Processing

Description

  • To learn discrete fourier transform, properties of DFT and its application to linear filtering
  • To understand the characteristics of digital filters, design digital IIR and FIR filters and apply these filters to filter undesirable signals in various frequency bands
  • To understand the effects of finite precision representation on digital filters
  • To understand the fundamental concepts of multi rate signal processing and its applications
  • To introduce the concepts of adaptive filters and its application to communication engineering

What Will I Learn?

  • Apply DFT for the analysis of digital signals and systems
  • Design IIR and FIR filters
  • Characterize the effects of finite precision representation on digital filters
  • Design multirate filters
  • Apply adaptive filters appropriately in communication systems

Topics for this course

5 Lessons50h

DISCRETE-TIME SIGNAL PROCESSING

Lesson 1-DISCRETE FOURIER TRANSFORM
Lesson 2-INFINITE IMPULSE RESPONSE FILTERS
Lesson 3-FINITE IMPULSE RESPONSE FILTERS
Lesson 4-FINITE WORD LENGTH EFFECTS
Lesson 5-INTRODUCTION TO DIGITAL SIGNAL PROCESSORS

About the instructor

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518 Courses

2 students

Free

Material Includes

  • John G. Proakis & Dimitris G.Manolakis, ―Digital Signal Processing – Principles, Algorithms & Applications‖, Fourth Edition, Pearson Education / Prentice Hall, 2007. (UNIT I – V)

Requirements

  • B.E/Diploma Students Can Pursue this Course

Target Audience

  • All Engineering Students Can Participate