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ME 610 Data Acquisition and Signal Analysis

Catalog Description

ME 610 Data Acquisition and Signal Analysis (3). Prerequisites: ME 314, ME 315, ME 415 and ME 435. Implementation of PC-based data acquisition systems for dynamic signal analysis. The LabView graphical programming language will be used to design virtual instruments for data collection and digital signal analysis.

Prerequisites by Topic

  1. Differential equations
  2. Linear system dynamics
  3. System dynamics


Robert H. Bishop, Learning with LabView 7, Prentice-Hall, 2004.


Steven W. Smith, The Scientist and Engineer’s Guide to Digital Signal Processing, California Technical Publishing, 2001. Richard G. Lyons, Understanding Digital Signal Processing, Prentice-Hall, 2001


W.P. Hnat, Professor of Mechanical Engineering.

Course Objectives

This course provides graduate students with a background in data acquisition and digital signal analysis with applications to dynamic signals. Students learn to develop and implement virtual instruments using the graphical programming language LabView.


  1. Data acquisition systems (2 classes)
  2. Periodic sampling (2 classes)
  3. LabView basics (3 classes)
  4. Discrete Fourier transform (2 classes)
  5. Fast Fourier transform (2 classes)
  6. Anti-aliasing filters (2 classes)
  7. Signal averaging (2 classes)
  8. Analysis techniques (2 classes)
  9. Analog output and control (2 classes)
  10. Applications (3 classes)
  11. Examinations (2 classes)

Computer Use

LabView is used for data acquisition and analysis.

Laboratory Schedule

Two 75 minute sessions per week devoted to lecture, discussion, experimentation and problem solving.


Homework 10%, Exams 20%, Final 20%, Lab Projects 50%

Professional Component Contribution

Engineering science: 2 credits, engineering design: 1 credit.

Relationship to Program Objectives

This course supports Mechanical Engineering program objectives by developing:

  • An ability to apply knowledge of mathematics, science, and engineering in the field of mechanical engineering.
  • An ability to identify, formulate and solve problems in the field of mechanical engineering.
  • An understanding of professional and ethical responsibility in the field of mechanical engineering. • The ability to communicate effectively.
  • A recognition of the need for, and an ability to engage in, life-long learning in the field of mechanical engineering.
  • An ability to use the techniques, skills, and modern tools necessary for the practice of mechanical engineering.

Prepared by W.P. Hnat, March 2006

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