Computer Science Seminar Series
Fast Basis Selection and Instantaneous Frequency Tracking for Audio Signal Analysis and Synthesis
April 4, 3:00pm
Weir Hall, Room 235
Presenter: Dr. Huimin Chen
Assistant Professor in Electrical and Computer Engineering University of New Orleans
This talk focuses on finding the best basis for the synthesis of audio signals and the tracking of slow or fast changing instantaneous frequencies. We propose a penalty based basis selection scheme which allows the random sampling strategy of compressed sensing to reduce the sample size for sparse signals. A greedy heuristic scheme is used for signal reconstruction based on an iterative refinement. Numerical experiments on synthetic and real sounds show the effectiveness of our scheme by achieving high accuracy of tracking instantaneous frequencies with a small number of selected basis. (This is a joint work with D. Charalampidis. Part of the work will be presented at ISCAS'07 in May 2007 at New Orleans.)
Biography of the Speaker:
Huimin Chen received the B.E. and M.E. degrees from Department of Automation, Tsinghua University, Beijing, China, in 1996 and 1998, respectively, and the Ph.D. degree from the Department of Electrical and Computer Engineering, University of Connecticut, Storrs, in 2002, all in electrical engineering. He was a post doctorate research associate at Physics and Astronomy Department, University of California, Los Angeles, and a visiting researcher with the Department of Electrical and Computer Engineering, Carnegie Mellon University from July 2002 where his research focus was on weak signal detection for single electron spin microscopy. He joined the Department of Electrical Engineering, University of New Orleans in Jan. 2003 as an assistant professor. His research interests are in general areas of signal processing, estimation theory, and information theory with applications to target detection and target tracking.