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CIF: Small: New inroads into finite-length distributed information coding

CIF: Small: New inroads into finite-length distributed information coding
CIF:小型:有限长度分布式信息编码的新进展
批准号:
1422284
负责人:
Sandeep Sadanandarao
金额:
$34.47万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-08-01 至 2018-07-31
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中文摘要
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英文摘要
The objective of this project is to develop a new coding technique for three basic multiuser communication problems that form the building blocks of many networks: (a) distributed source coding, (b) multiple description coding and (c) broadcast channel. This project is based on two recent preliminary investigations. In the former, a new coding phenomenon was uncovered in distributed source coding. In the latter, a new unified algebraic coding framework for all three problems was developed that strengthened the connection among them, and thus suggesting that the new phenomenon is also at play in the other two. It is well-known that for point-to-point communication problem (both source coding and channel coding), as the block-length of the code is increased the performance keeps improving more or less all the way to infinity. For the problem of distributed source coding, with a particular class of technique called quantization and binning using identical codes at multiple terminals, it turns out that as the block-length is increased, the performance improves initially, reaches a plateau and then decreases after that. So the best performance is achieved when the block-length of the code is at some finite value but not infinity. This project addresses the problem of reliable transmission and processing of information over general networks by developing a new framework based on these codes to construct efficient encoding and decoding systems. The performance of these codes for the distributed source coding problem is analyzed and computable bounds on the performance limits are provided. This project uses this framework for the broadcast channel problem and the multiple description problem using a fundamental connection that exists among the three problems. This project also pursues code construction with computationally efficient encoding and decoding algorithms toward practical implementation of the coding systems developed above.This project will have an impact on (i) the exchange of ideas and concepts among different research fields, (ii) the design and development of the next generation of communication networks such as ad-hoc wireless and sensor networks, and (iii) education of future engineers by incorporating research advances into a curriculum development program and an effort toward recruitment of underrepresented minority and women graduate students.
期刊论文(1)
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会议论文
DOI: 10.1109/tit.2019.2917434
发表时间: 2017-05
期刊: IEEE Transactions on Information Theory
影响因子: 2.5
作者: [Farhad Shirani;S. Pradhan]
通讯作者: Farhad Shirani;S. Pradhan
Collaborative Research: CIF: Small: A New Paradigm for Distributed Information Processing, Simulation and Inference in Networks: The Promise of Law of Small Numbers
FET: CIF: Small: Distributed Quantum Information Processing using Structured Operators
AF: CQIS: Small: Theoretical Problems in Quantum Information
CIF:Small: Toward an Algebraic and Probabilistic Foundation for Network Information Theory based on Quasi Structured Codes
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  • 批准号:
  • 项目类别:
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  • 资助金额:
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  • 批准年份:
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    2022
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  • 资助金额:
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  • 批准年份:
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  • 负责人:
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