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s73345 Spectral and Time-Domain Preprocessing and the Choice of Modeling Error Criteria for Binaural Digital Filters1) Jyri Huopaniemi, 2) Julius O. Smith III2) CCRMA, Stanford University, Stanford, CA, USA
In this paper, we discuss methods for preprocessing and digital filter
design with application to 3-D sound. It is clear that binaural filter
design can be optimized by taking into account such properties of human
hearing as non-uniform frequency resolution and a logarithmic magnitude
scale. We show that by choosing proper spectral and time-domain preprocessing
techniques the choice of filter design method becomes a
relatively trivial task. The validity of preprocessing methods is proved
using a binaural auditory model. Filter design techniques based on optimizing
the Hankel, Least squares and Chebyshev norms will be discussed.
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Last modified: 12.03.1999 aes16@acoustics.hut.fi