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Essentially fully contained in .
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Julius O. Smith
is an Associate Professor of Music and (by courtesy) Electrical
Engineering at the Center for Computer Research in Music and Acoustics
(CCRMA), Department of Music, Stanford University
activities include teaching audio signal processing courses, advising
graduate students, and pursuing research in signal processing
techniques applied to music, acoustics, and audio. From 1986 to 1991,
he was a software engineer at NeXT Computer, Inc., responsible for
signal processing software pertaining to music and audio. From 1982
to 1986 he was with the Adaptive Systems Department at Systems Control
Technology, Palo Alto, CA, where he worked in the areas of adaptive
filtering and spectral estimation. He received the M.S. and Ph.D.
degrees in E.E. from Stanford University, Stanford, CA, in 1978 and
1983, respectively. His Ph.D. research involved the application of
digital filter design and system identification techniques to the
modeling and synthesis of the violin, clarinet, reverberant spaces,
and other musical systems. From 1975 to 1977 he worked in the signal
Processing Department at ESL, Sunnyvale, CA, on systems for digital
communications. He received the B.S.E.E. degree from Rice University,
Houston, TX, in 1975. For more information, see http://ccrma.stanford.edu/~jos/.
Jonathan S. Abel
is a researcher with the San Jose State University Foundation studying
spatial hearing on a grant from the Human Factors Research Division of
NASA Ames Research Center. He also owns Abel Innovations, an
engineering consulting firm specializing in audio signal processing.
He was chief scientist of Crystal River Engineering, Inc. where he
developed efficient methods for synthesizing spatial audio cues and
measuring head-related transfer functions. Prior to joining Crystal
River, Dr. Abel was vice president of Tetra Systems Incorporated, a
lecturer at Yale University, and a consultant to Northwest Digital
Research, Systems Control Technology, Saxpy Computer, and Apple
Computer, among others. He holds a PhD and MS from Stanford
University, and an SB from MIT, all in electrical engineering.
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