TY - JOUR
T1 - Colored-Gaussian Multiple Descriptions
T2 - Spectral and Time-Domain Forms
AU - Ostergaard, Jan
AU - Kochman, Yuval
AU - Zamir, Ram
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/10
Y1 - 2016/10
N2 - It is well known that Shannon's rate-distortion function (RDF) in the colored quadratic Gaussian (QG) case can be parametrized via a single Lagrangian variable (the water level in the reverse water filling solution). In this paper, we show that the symmetric colored QG multiple description (MD) RDF in the case of two descriptions can be parametrized in the spectral domain via two Lagrangian variables, which control the tradeoff between the side distortion, the central distortion, and the coding rate. This spectral-domain analysis is complemented by a time-domain scheme-design approach: we show that the symmetric colored QG MD RDF can be achieved by combining ideas of delta-sigma modulation and differential pulse-code modulation. In particular, two source prediction loops, one for each description, are embedded within a common noise-shaping loop, whose parameters are explicitly found from the spectral-domain characterization.
AB - It is well known that Shannon's rate-distortion function (RDF) in the colored quadratic Gaussian (QG) case can be parametrized via a single Lagrangian variable (the water level in the reverse water filling solution). In this paper, we show that the symmetric colored QG multiple description (MD) RDF in the case of two descriptions can be parametrized in the spectral domain via two Lagrangian variables, which control the tradeoff between the side distortion, the central distortion, and the coding rate. This spectral-domain analysis is complemented by a time-domain scheme-design approach: we show that the symmetric colored QG MD RDF can be achieved by combining ideas of delta-sigma modulation and differential pulse-code modulation. In particular, two source prediction loops, one for each description, are embedded within a common noise-shaping loop, whose parameters are explicitly found from the spectral-domain characterization.
KW - KKT optimality conditions
KW - Multiple-description coding
KW - delta-sigma quantization
KW - noise shaping
KW - optimization
KW - predictive coding
KW - rate-distortion theory
UR - http://www.scopus.com/inward/record.url?scp=84988583236&partnerID=8YFLogxK
U2 - 10.1109/TIT.2015.2513773
DO - 10.1109/TIT.2015.2513773
M3 - ???researchoutput.researchoutputtypes.contributiontojournal.article???
AN - SCOPUS:84988583236
SN - 0018-9448
VL - 62
SP - 5465
EP - 5483
JO - IEEE Transactions on Information Theory
JF - IEEE Transactions on Information Theory
IS - 10
M1 - 7369969
ER -