http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
application of the multiple description scalar quantizer to speech coding on correlated fading channels
accommodate the distinct distributions of the coefficients.
accomplish the variable length coding of the DCT coefficients
allocations. We also discuss various strategies for
and Lloyd-Max quantizers are constructed. We consider the
as well as subjective listening tests. Additionally, we
Both employ the discrete cosine transform (DCT) to
coding MDSQ system, DCT coefficient distributions are modeled
construct two different types of MDSQ-based systems: a fixed
correlated Rayleigh fading channels. In this thesis, we
decorrelate blocks of sampled speech. For the fixed length
description quantizer. In the variable length coding system,
employing error detection that takes advantage of the
exploiting the structure and redundancy of the multiple
length coding system and a variable length coding system.
measures such as the segmental signal-to-noise ratio (SEGSNR)
offer comparisons between our MDSQ system and another
performance of both speech coding systems using objective
performance tradeoff between fixed and adaptive bit
proposed system that uses dynamic bit allocation subband
quantizers with optimized reconstruction levels. We
residual redundancy in arithmetic codes. We measure the
speech coding and rate-compatible punctured convolutional
using Shannon-Fano-Elias (arithmetic) coding modified to
utilizing multiple description scalar quantizers (MDSQ) for
we build a set of entropy-constrained, uniform threshold
We obtain performance improvements in this system by
"Major subject: Electrical Engineering".
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