Amanote Research

Amanote Research

    RegisterSign In

An Upper Bound to the Rate of Ideal Distributed Lossy Source Coding of Densely Sampled Data

doi 10.1109/icassp.2006.1661481
Full Text
Open PDF
Abstract

Available in full text

Date

Unknown

Authors
D.L. NeuhoffS.S. Pradhan
Publisher

IEEE


Related search

Transform Coding of Densely Sampled Gaussian Data

2007English

Information Rates of Densely Sampled Gaussian Data

2011English

Nonasymptotic Noisy Lossy Source Coding

2013English

Nonasymptotic Noisy Lossy Source Coding

IEEE Transactions on Information Theory
Computer Science ApplicationsInformation SystemsLibraryInformation Sciences
2016English

Systematic Lossy Source/Channel Coding

IEEE Transactions on Information Theory
Computer Science ApplicationsInformation SystemsLibraryInformation Sciences
1998English

Rate-Adaptive BCH Codes for Distributed Source Coding

Eurasip Journal on Advances in Signal Processing
HardwareElectronic EngineeringSignal ProcessingElectricalArchitecture
2013English

Fixed-Rate Universal Lossy Source Coding and Rates of Convergence for Memoryless Sources

IEEE Transactions on Information Theory
Computer Science ApplicationsInformation SystemsLibraryInformation Sciences
1995English

Rate and Power Allocation Under the Pairwise Distributed Source Coding Constraint

2008English

Rates of Convergence in the Source Coding Theorem, in Empirical Quantizer Design, and in Universal Lossy Source Coding

IEEE Transactions on Information Theory
Computer Science ApplicationsInformation SystemsLibraryInformation Sciences
1994English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy