In a sign-magnitude representation of binary lattice codevectors, only a few least significant bit-planes are constrained due to the structure of the lattice, while there is no restriction on other more significant bit-planes. Hence, any convenient bit-plane coding method can be used to encode the lattice codevectors, with modification required only for the lattice-defining, least-significant bit-planes. Simple encoding methods for the lattice-defining bit-planes of the D4, RE8, and Barnes-Wall 16-dimensional lattices are described. Simulation results for the encoding of a uniform source show that standard bit-plane coding together with the proposed encoding provide about the same performance as integer lattice vector quantization when the bit-stream is truncated. When the entire bit-stream is fully decoded, the granular gain of the lattice is realized.
Wisarn PATCHOO
Bangkok University
Thomas R. FISCHER
Washington State University
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Wisarn PATCHOO, Thomas R. FISCHER, "Bit-Plane Coding of Lattice Codevectors" in IEICE TRANSACTIONS on Fundamentals,
vol. E96-A, no. 8, pp. 1817-1820, August 2013, doi: 10.1587/transfun.E96.A.1817.
Abstract: In a sign-magnitude representation of binary lattice codevectors, only a few least significant bit-planes are constrained due to the structure of the lattice, while there is no restriction on other more significant bit-planes. Hence, any convenient bit-plane coding method can be used to encode the lattice codevectors, with modification required only for the lattice-defining, least-significant bit-planes. Simple encoding methods for the lattice-defining bit-planes of the D4, RE8, and Barnes-Wall 16-dimensional lattices are described. Simulation results for the encoding of a uniform source show that standard bit-plane coding together with the proposed encoding provide about the same performance as integer lattice vector quantization when the bit-stream is truncated. When the entire bit-stream is fully decoded, the granular gain of the lattice is realized.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E96.A.1817/_p
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@ARTICLE{e96-a_8_1817,
author={Wisarn PATCHOO, Thomas R. FISCHER, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Bit-Plane Coding of Lattice Codevectors},
year={2013},
volume={E96-A},
number={8},
pages={1817-1820},
abstract={In a sign-magnitude representation of binary lattice codevectors, only a few least significant bit-planes are constrained due to the structure of the lattice, while there is no restriction on other more significant bit-planes. Hence, any convenient bit-plane coding method can be used to encode the lattice codevectors, with modification required only for the lattice-defining, least-significant bit-planes. Simple encoding methods for the lattice-defining bit-planes of the D4, RE8, and Barnes-Wall 16-dimensional lattices are described. Simulation results for the encoding of a uniform source show that standard bit-plane coding together with the proposed encoding provide about the same performance as integer lattice vector quantization when the bit-stream is truncated. When the entire bit-stream is fully decoded, the granular gain of the lattice is realized.},
keywords={},
doi={10.1587/transfun.E96.A.1817},
ISSN={1745-1337},
month={August},}
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TY - JOUR
TI - Bit-Plane Coding of Lattice Codevectors
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1817
EP - 1820
AU - Wisarn PATCHOO
AU - Thomas R. FISCHER
PY - 2013
DO - 10.1587/transfun.E96.A.1817
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E96-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2013
AB - In a sign-magnitude representation of binary lattice codevectors, only a few least significant bit-planes are constrained due to the structure of the lattice, while there is no restriction on other more significant bit-planes. Hence, any convenient bit-plane coding method can be used to encode the lattice codevectors, with modification required only for the lattice-defining, least-significant bit-planes. Simple encoding methods for the lattice-defining bit-planes of the D4, RE8, and Barnes-Wall 16-dimensional lattices are described. Simulation results for the encoding of a uniform source show that standard bit-plane coding together with the proposed encoding provide about the same performance as integer lattice vector quantization when the bit-stream is truncated. When the entire bit-stream is fully decoded, the granular gain of the lattice is realized.
ER -