AAE 30100

Signal Analysis for Aerospace Engineering

Credits:     3

Contact hours:     3

Instructor:     Professor Frazho and Professor D. Sun

Text:     Notes furnished by instructor.

Course Description:     Signal processing and spectral analysis for aerospace engineering. Fourier and fast Fourier transforms. Estimation of natural frequencies. Review of Laplace transforms. An introduction to state space. Bode plots. An introduction to linear circuits and filtering. Low pass, band pass and high pass filters.

Offered:    Fall and Spring

Pre-requisite:    MA 26500 and MA 2660 or equivalent

Co-requisite:    Ma 26100

Required:    Yes

Student Learning Outcomes:
On completing this course the student shall be able to:

  1. Use fast Fourier transform techniques to estimate sinusoids from experimental data.
  2. Estimate natural frequencies from data. For example beam vibration.
  3. Extract the underlying spectrum from time history.
  4. An elementary understanding of stability and state space systems.
  5. An elementary understanding of transfer functions and Bode plots.
  6. Analyze mass spring damper systems.
  7. Analyze and design elementary linear circuits.
  8. Design low pass, band pass and high pass filters.

Relationship of Course to Program Outcomes

    Program Learning Outcomes Included?
a An ability to apply knowledge of mathematics, science, and engineering Yes
b An ability to design and conduct experiments, as well as to analyze and interpret data Yes on Analyze Data
c An ability to design an aerospace system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health, and safety, manufacturability, and sustainability No
d An ability to function on multidisciplinary teams No
e An ability to identify, formulate, and solve aerospace engineering problems Yes
f An understanding of professional and ethical responsibility No
g An ability to communicate effectively No
h An understanding of the impact of engineering solutions in a global, economic, environmental, and societal context No
i A recognition of the need for, and an ability to engage in life-long learning No
j A knowledge of contemporary issues in aerospace engineering No
k An ability to use the techniques, skills and modern engineering tools necessary for aerospace engineering practice Yes


  1. Time domain analysis and Fourier series (6)
  2. The fast Fourier transform (5)
  3. Estimating sinusoids in noise with Aerospace Applications (3)
  4. Laplace transform review (5)
  5. Resistor, capacitor, inductors, operational amplifiers (4)
  6. State space analysis (4)
  7. Mass spring damper systems (3)
  8. Tuned vibration damper (2)
  9. Bode Plots (5)
  10. Resonance frequencies (2)
  11. Butterworth filters (4)

Revision History:
Format updated: January 31, 2011