Robotics

CRA340: Applied Signal Processing syllabus for Robotics 2021 regulation (Professional Elective-IV)

Applied Signal Processing detailed syllabus for Robotics & Automation Engineering (Robotics) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the Robotics students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.

For Robotics & Automation Engineering 5th Sem scheme and its subjects, do visit Robotics 5th Sem 2021 regulation scheme. For Professional Elective-IV scheme and its subjects refer to Robotics Professional Elective-IV syllabus scheme. The detailed syllabus of applied signal processing is as follows.

Course Objectives:

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Unit I

INTRODUCTION TO SIGNALS AND SYSTEMS 9
Elementary signals in continuous and discrete time – graphical and mathematical representation -Elementary operations and classification of continuous and discrete time signals – CT systems and DT systems – Properties of CT systems and DT systems Classification of systems

Unit II

ANALYSIS OF CONTINUOUS TIME SIGNALS AND SYSTEMS 9
The continuous time Fourier series – Fourier Transform properties – Laplace transform and properties – Impulse response – convolution integrals – Fourier and Laplace transforms in Analysis of Ct systems – Frequency response of systems characterized by differential Equations

Unit III

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Unit IV

DESIGN OF DIGITAL FILTERS 9
Review of design techniques for analog low pass filters – Frequency transformation – IIR filters -Properties – Design of IIR digital filters using bilinear transformation – FIR filters – Characteristics of FIR filters with linear phase – Design of FIR filters using Window functions

Unit V

DIGITAL SIGNAL PROCESSORS AND APPLCATIONS 9
Architecture of TMS 320C54xx DSP – Addressing Modes – Instructions and Programming -Applications: Signal Compression – Sine wave generators – Noise generators – DTMF Tone Detection – Echo cancellation – Speech enhancement and recognition

Course Outcomes:

Upon successful completion of the course, students should be able to:

  1. Understand the characteristics of various types of signals.
  2. Analyze continuous time signals and systems
  3. Understand DTFT, FFT and Z-Transform methods in signals processing.
  4. Design digital IIR, FIR filters for signal processing
  5. Analyze and Apply various signal processors and its applications of signals.

Text Books:

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Reference Books:

  1. Lonnie C Ludeman, “Fundamentals of Digital Signal Processing”, Wiley & Sons, New Delhi, 2014.
  2. Emmanuel C Ifeachor, Barrie W Jervis, “Digital Signal Processing”, Pearson Education, New Delhi, 2013.
  3. Haykin S, Barry Van Veen, “Signals and Systems”, John Wiley and sons, New Delhi, 2016.
  4. Vinay K Ingle, John G Proakis , “Digital Signal Processing using MATLAB”, Cengage Learning, New Delhi, 2012.

For detailed syllabus of all the other subjects of Robotics & Automation Engineering 5th Sem, visit Robotics 5th Sem subject syllabuses for 2021 regulation.

For all Robotics & Automation Engineering results, visit Anna University Robotics all semester results direct link.

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