Results 41 to 50 of about 10,040,691 (372)

Source Coding with a Causal Helper

open access: yesInformation, 2020
A multi-terminal network, in which an encoder is assisted by a side-information-aided helper, describes a memoryless identically distributed source to a receiver, is considered. The encoder provides a non-causal one-shot description of the source to both
Shraga I. Bross
doaj   +1 more source

Robust 2-bit Quantization of Weights in Neural Network Modeled by Laplacian Distribution

open access: yesAdvances in Electrical and Computer Engineering, 2021
Significant efforts are constantly involved in finding manners to decrease the number of bits required for quantization of neural network parameters. Although in addition to compression, in neural networks, the application of quantizer models that are ...
PERIC, Z.   +3 more
doaj   +1 more source

Asymptotics and Non-Asymptotics for Universal Fixed-to-Variable Source Coding [PDF]

open access: yesIEEE Transactions on Information Theory, 2014
Universal fixed-to-variable lossless source coding for memoryless sources is studied in the finite blocklength and higher order asymptotic regimes. Optimal three-term fixed-error asymptotic expressions are derived for general fixed-to-variable codes and ...
O. Kosut, L. Sankar
semanticscholar   +1 more source

Rate-Distortion Function Upper Bounds for Gaussian Vectors and Their Applications in Coding AR Sources

open access: yesEntropy, 2018
In this paper, we give upper bounds for the rate-distortion function (RDF) of any Gaussian vector, and we propose coding strategies to achieve such bounds.
Jesús Gutiérrez-Gutiérrez   +3 more
doaj   +1 more source

Efficient and Compact Representations of Deep Neural Networks via Entropy Coding

open access: yesIEEE Access, 2023
Matrix operations are nowadays central in many Machine Learning techniques, including in particular Deep Neural Networks (DNNs), whose core of any inference is represented by a sequence of dot product operations.
Giosue Cataldo Marino   +3 more
doaj   +1 more source

On feedback in network source coding [PDF]

open access: yes, 2009
We consider source coding over networks with unlimited feedback from the sinks to the sources. We first show examples of networks where the rate region with feedback is a strict superset of that without feedback.
Bakshi, Mayank, Effros, Michelle
core   +2 more sources

Experimental demonstration of quantum source coding [PDF]

open access: yes, 2003
We report an experimental demonstration of Schumacher's quantum noiseless coding theorem. Our experiment employs a sequence of single photons each of which represents three qubits.
Atsushi Hasegawa   +10 more
core   +2 more sources

Integer-Forcing source coding [PDF]

open access: yes2014 IEEE International Symposium on Information Theory, 2013
Integer-Forcing (IF) is a new framework, based on compute-and-forward, for decoding multiple integer linear combinations from the output of a Gaussian multiple-input multiple-output channel. This work develops the source coding dual of the IF approach to
Or Ordentlich, U. Erez
semanticscholar   +1 more source

On Linear Coding over Finite Rings and Applications to Computing

open access: yesEntropy, 2017
This paper presents a coding theorem for linear coding over finite rings, in the setting of the Slepian–Wolf source coding problem. This theorem covers corresponding achievability theorems of Elias (IRE Conv. Rec. 1955, 3, 37–46) and Csiszár (IEEE Trans.
Sheng Huang, Mikael Skoglund
doaj   +1 more source

Bit rates in audio source coding [PDF]

open access: yes, 1992
The goal is to introduce and solve the audio coding optimization problem. Psychoacoustic results such as masking and excitation pattern models are combined with results from rate distortion theory to formulate the audio coding optimization problem.
Veldhuis, Raymond N.J.
core   +3 more sources

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