Efficiency Evaluation and Orthogonal Basis Determination in Functional HRTF Modeling

Mengqiu (Karan) Zhang (ANU)

APPLIED SIGNAL PROCESSING SERIES

DATE: 2011-04-07
TIME: 11:00:00 - 12:00:00
LOCATION: RSISE Seminar Room, ground floor, building 115, cnr. North and Daley Roads, ANU
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ABSTRACT:
This paper consider the problem of how to evaluate the efficiency of a 3D continuous functional HRTF model in representing measured data. The proposed method is based on Karhunen-Loeve theorem. After investigating the optimization problem of representing the process with an finite linear combination of orthogonal functions in L^2 space by means of the least squared method, the variance of random variables involved in the model is found the key metric in efficiency evaluation of a given functional model. Then, the coefficients of the 3D continuous HRTF model are analyzed. The results show that the efficiency of the model in spatial component expansion is around 70% and the best choice in frequency component expansion is the spherical Bessel function.

BIO:
Mengqiu Zhang received the Master of Engineering degree in Instrument and Measurement from Xidian University, China, in 2006, and the Bachelor of Engineering degree in Wireless Test & Measurement from China Jiliang University, China, in 1994. She is currently working toward the Ph.D. degree in Applied Signal Processing group at the Australian National University. Previously, she worked for Huizhou Institute of Test and Measurement as a senior electronic engineer. Her research interests are HRTF (Head-related transfer function) measurement and modeling and spatial audio signal processing techniques.