Catalog Entry (2012-2013):

2240 Introduction to Signal Processing(4) This course demonstrates the use of mathematical and digital computation tools key to engineering applications. Auditory and visual senses are used in the presentation and study of sinusoidal signals, sampling, frequency response and filtering theory. Prereq: CEEN 1060, CIST 1400, MATH 1960.

Text:

Signal Processing First J.H. McClellan, R.W. Schafer and M.A. Yoder; Prentice Hall ISBN 0-13-090999-8

Class/Laboratory Schedule:

The lecture portion of the course will meet for three university hours each week. The laboratory portion will meet for three university hours each week.

Course Outcomes:

  1. The student is able to work productively with others toward the successful completion of group assignments. [CENG(10)][EENG(10)] Med
  2. The student can apply the principles of mathematics to understanding the concepts underlying digital information systems. [CENG(1, 5,9fi)][EENG(1, 5, 9f)] High
  3. The student can draw reasonable inferences from observations of audio and video signal processing. [CENG(5, 9f)][EENG(5, 9f)] High
  4. The student can apply the principles of mathematics to understanding the concepts underlying analog filter systems. [CENG(1, 5,9fi)][EENG(1, 5, 9f)] High
  5. The student can analyze and solve engineering problems involving system and signal frequency response, sampling, and filtering. [CENG(4, 5)][EENG(4, 5)] High
  6. The student can skillfully use computer programming tools for analysis and synthesis of discrete signals and signal processing systems. [CENG(9f)][EENG(9f)] Med

Course Topics:

  1. Complex Exponentials and Phasors 1 week
  2. Sinusoidal Signals 1 week
  3. Signal Spectrum Representation 1 week
  4. Discrete Time Sampling of Continuous Signals 2 weeks
  5. Moving Average (FIR) Filters 1 week
  6. FIR Frequency Response 1 week
  7. z-Transform FIR Design Methods 1 week
  8. Recursive (IIR) Filters 2 weeks
  9. Continuous Time Signals and Systems 2 weeks
  10. Continuous Time Fourier Transform 1 week
  11. Discrete Fourier Transform 1 week
  12. Exams 1 week

The Reason this Course is in the Program:

This course applies student mathematics skill developed in MATH 1960 and microprocessor operation understanding from CEEN 1060 to facilitate the study of the underlying concepts used in analog and digital signal information processing systems. Computer engineering majors are presented with the fundamental information necessary for development of modern data acquisition and process control systems. Electronic engineering majors are introduced to concepts and tools to be developed further in CEEN 3250 and CEEN 3550.

Prepared by:

Herbert Detloff - October 11, 2003