2007 IEEE Information Theory Workshop 2007
DOI: 10.1109/itw.2007.4313112
|View full text |Cite
|
Sign up to set email alerts
|

Network Distributed Quantization

Abstract: Abstract-We investigate the design of rate-distortion optimal quantizers for distributed compression in a network with multiple senders and receivers. In such network, several noisy observations of one or more unseen sources are separately encoded by each sender and the quantization indices transmitted to a number of receivers, which jointly decode all available transmissions with the help of side information locally available. The joint statistics of the source data, the noisy observations and the side inform… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
6
0

Year Published

2009
2009
2018
2018

Publication Types

Select...
2
1
1

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(6 citation statements)
references
References 32 publications
(36 reference statements)
0
6
0
Order By: Relevance
“…The quantizer design is mostly related to [66], [67] which, differently from our work, 1) focus on channeloptimized VQs, 2) use fixed-rate VQs, and 3) involve complex encoders impeding the practical implementation. The entropy coding part utilizes the original ideas of [22], and those extended to multiple remote sources in, e.g., [39]. Apart from our initial works [71], [72], pre-quantization as a means to moderate encoding complexity, and the use of variable-rate coding in a QCS setup have not been addressed before.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…The quantizer design is mostly related to [66], [67] which, differently from our work, 1) focus on channeloptimized VQs, 2) use fixed-rate VQs, and 3) involve complex encoders impeding the practical implementation. The entropy coding part utilizes the original ideas of [22], and those extended to multiple remote sources in, e.g., [39]. Apart from our initial works [71], [72], pre-quantization as a means to moderate encoding complexity, and the use of variable-rate coding in a QCS setup have not been addressed before.…”
Section: Related Workmentioning
confidence: 99%
“…Distributed compression of a remote source is addressed in [33], [34], the CEO problem in [35], and DSC of multiple remote Gaussian sources in [36]. Related quantizer based studies include distributed estimation of a remote source in [34], [37], [38], and its extension to multiple remote sources in [39].…”
Section: Introductionmentioning
confidence: 99%
“…As evident in (10)- (12), the only depends on the CDMD source encoder and joint probability distribution of source and side information. Also, the channel distortion indicates the effect of channel disturbances reflected by the channel transition probability, ( | = , ).…”
Section: Propositionmentioning
confidence: 99%
“…The CDMD design procedure, with deterministic annealing algorithm, may now be summarized as follows. First a vector quantizer is selected, and the IA (24)-(25), and the distortion is computed using (9)- (12). Note that | obtained in the previous step is used for computing ( | , ).…”
Section: Source Encoder Designmentioning
confidence: 99%
See 1 more Smart Citation