03/28/2023
By Vacharaporn Paradorn
The Francis College of Engineering Department of Electrical and Computer Engineering, invites you to attend a Master’s thesis defense by Vacharaporn Paradorn on “A Comparison of Maximum Length Sequence and Power Spectral Analysis of the Impulse Response of a Time-Invariant Linear System.”
Candidate Name: Vacharaporn Paradorn
Degree: Master’s
Defense Date: April 10, 2023
Time: 3 to 4 p.m.
Location: Falmouth 203, North Campus
Thesis/Dissertation Title: A Comparison of Maximum Length Sequence and Power Spectral Analysis of the Impulse Response of a Time-Invariant Linear System
Committee:
- Advisor Charles Thompson, Department of Electrical and Computer Engineering, University of Massachusetts Lowell
- Co-advisor Kavitha Chandra, Department of Electrical and Computer Engineering, University of Massachusetts Lowell
- Max Denis, Department of Mechanical Engineering, University of the District of Columbia
Brief Abstract:
This thesis presents a comparison of maximum length sequence (MLS) and power spectral technique for the estimation of impulse response of time-invariant in linear system. A pseudo random periodic signal, MLS, was generated and used as the excitation input to measure the impulse response. The cross-spectrum analysis technique is then applied to estimate the frequency response, then convert to time-domain. To capture the impulse response of the signals, a mannequin head was used in the experiment in order to constraint the movement and limit the rotational direction in the azimuth dimension. The results of impulse response obtained from the experiments are then compared in time-domain to evaluate the performance of each method.