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检索条件"主题词=Source coding"

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source coding with feedforward using the posterior matching scheme

Source coding with feedforward using the posterior matching ...

引用

IEEE International Symposium on Information Theory

作者： Hani-James Ebeid Todd P. Coleman ECE Department Coordinated Science Laboratory University of Illinois USA

This paper considers the problem of source coding with feedforward, where an encoder compresses an i.i.d. source into a message, and the decoder takes this message, along with causal noiseless side information, to construct an estimate of the source. The posterior matching scheme is an optimal feedback communication scheme for memoryless channels that results in the channel outputs being i.i.d. The duality between channel coding with feedback and source coding with feedforward motivates the idea of dualizing posterior matching for this setting. We demonstrate, using a Lyapunov exponent approach, that such a scheme attains the rate-distortion function.

关键词： source coding Decoding Channel coding Distortion measurement Memoryless systems Rate-distortion Communication system control Control systems Feedback communications Gaussian noise

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source coding with common reconstruction and action-dependent side information

Source coding with common reconstruction and action-dependen...

引用

IEEE (first ITW conference of the year) Information Theory Workshop (ITW)

作者： Kittipong Kittichokechai Tobias J. Oechtering Mikael Skoglund School of Electrical Engineering and the ACCESS Linnaeus Center Royal Institute of Technology Stockholm Sweden

We determine the rate region of a source coding problem with common reconstruction and action-dependent side information where an action sequence is taken by an encoder over a rate-limited link. We show that the rate region depends only on the sum-rate and the sum-rate distortion and cost function is characterized. The result serves as a fundamental limit in transmission scenarios where the encoder wants to control and monitor the quality of the decoder's reconstruction via the respective uses of action sequences and a common reconstruction constraint.

关键词： Chromium Decoding source coding Rate-distortion Markov processes Cost function

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source coding using a class of universal hash functions

Source coding using a class of universal hash functions

引用

IEEE International Symposium on Information Theory

作者： H. Koga Graduate School of Systems and Information Engineering University of Tsukuba Tsukuba Ibaraki Japan

We consider a source coding scheme in which we use a mapping f /spl isin/ /spl Fscr/ as an encoder, where /spl Fscr/ is a class of universal hash functions. It is shown that, if /spl Fscr/ satisfies a certain condition, for any discrete source there exist an encoder using an f /spl isin/ /spl Fscr/ and a decoder such that the decoding error probability becomes negligible for sufficiently large blocklength. We also give the error exponent of the minimum-entropy decoder for i.i.d. sources that is not less than the error exponent of linear encoders.

关键词： source coding Decoding Error probability Random variables Systems engineering and theory Electronic mail Encoding Combinatorial mathematics Probability distribution Zinc

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source coding in multimedia

Source coding in multimedia

引用

IEEE International Symposium on Information Theory

作者： L.R. Rabiner Speech and Image Processing Services Research Lab AT and T Bell Laboratories Inc. Murray Hill NJ USA

A key area of multimedia systems is source coding. We review the state of the art in source coding of speech, audio, image, and video signals, including discussions of both standards-based and nonstandard approaches to coding. We demonstrate, via example, the current compression and coding capabilities of a wide range of algorithms, at various bit rates; for source coding of each of these signals. We also review the unique and challenging issues that face source coding on both wireless and data networks, and discuss the solutions that are currently being investigated.

关键词： source coding Image coding Speech coding Bandwidth Video compression Speech processing Image processing Telephony Multimedia systems Narrowband

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source coding with side information at the decoder: Models with uncertainty, performance bounds, and practical coding schemes

Source coding with side information at the decoder: Models w...

引用

International Symposium on Information Theory and Its Applications, ISITA

作者： Elsa Dupraz Aline Roumy Michel Kieffer LSS - CNRS - SUPELEC - Univ Paris-Sud Gif-sur-Yvette France INRIA Campus de Beaulieu Rennes France LTCI - CNRS - Telecom ParisTech Paris

We consider the problem of source coding with side information (SI) at the decoder only, when the joint distribution between the source and the SI is not perfectly known. Four parametric models for this joint distribution are considered, where uncertainty about the distribution is turned into uncertainty about the value of the parameters. More precisely, a prior distribution for the parameters may or may not be available. Moreover, the value of the parameters may either change at every symbol or remain constant for a while. This paper overviews the results on the performance of lossless source coding with SI at the decoder for the four models. The way LDPC-based encoding and decoding schemes should be designed to cope with model uncertainty is provided. Most of the proposed practical schemes perform close to the theoretical limits.

关键词： Decoding Parity check codes Silicon source coding Uncertainty Joints

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source coding with Distortion through Graph Coloring

Source Coding with Distortion through Graph Coloring

引用

IEEE International Symposium on Information Theory

作者： Vishal Doshi Devavrat Shah Muriel Medard Laboratory for Information and Decision Systems Massachusetts Institute of Technology Cambridge MA USA

ISBN: (纸本)9781424413973;1424413974

We consider the following rate distortion problem: given a source X and correlated, decoder side information Y, find the minimum encoding rate for X required to compute f(X,Y) at the decoder within distortion D. This is a generalization of the classical Wyner-Ziv setup and was resolved by Yamamoto (1982). However, this result involved an auxiliary random variable that lacks explicit meaning. To provide a more direct link between this variable and the function f, Orlitsky and Roche (2001) established the minimal rate required in the zero-distortion case as an extension of Korner's graph entropy. Recently, we (with Jaggi) showed that the zero-distortion rate can be achieved by minimum entropy graph coloring of an appropriate product graph. This leads to a modular architecture for functional source coding with a preprocessing "functional coding" scheme operating on top of a classical Slepian-Wolf source coding scheme. In this paper, we give a characterization of Yamamoto's rate distortion function in terms of a reconstruction function. This (non-single-letter) characterization is an extension of our previous results as well as Orlitsky and Roche's results. We obtain a modular scheme operating with Slepian-Wolf's scheme for the problem of functional rate distortion. Further, we give an achievable rate (with single-letter characterization) utilizing this scheme that intuitively extends our previous results.

关键词： source coding Decoding Rate-distortion Encoding Entropy Laboratories Random variables Sensor phenomena and characterization Distortion measurement Bandwidth

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source coding with intermittent and degraded side information at the decoder

Source coding with intermittent and degraded side informatio...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Francesca Bassi Michel Kieffer Claudio Weidmann University of Paris-Sud Gif-sur-Yvette France FTW-Telecommunications Research Center Vienna Vienna Austria

Practical schemes for distributed video coding with side information at the decoder need to consider non-standard correlation models in order to take non-stationarities into account. In this paper we introduce two correlation models for Gaussian sources, the Gaussian- Bernoulli-Gaussian (GBG) and the Gaussian-Erasure (GE) models, and evaluate lower and upper bounds on their rate-distortion functions. Provided that the probability of impulse noise or of erasures remains small, these bounds remain close to the rate-distortion function for Gaussian correlation. Two practical schemes for the GE correlation model are also presented, with performance about 1.5 dB away from the lower bound.

关键词： source coding Degradation Decoding Gaussian noise Rate-distortion Upper bound Gaussian processes Interpolation Computational modeling Compressed sensing

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source coding for Text Transmission using a Deep Neural Network as a Lossy Compression Stage

Source Coding for Text Transmission using a Deep Neural Netw...

引用

IEEE ANDESCON

作者： Fernando Lara Jorge Arellano Miguel Castillo Luis Topón Enrique V. Carrera Univ. de las Fuerzas Armadas ESPE Sangolquí Ecuador

ISBN: (数字)9781728193656

ISBN: (纸本)9781728193663

The continuous growth of traffic in the telecommunication networks has motivated the search for optimal source codes that can achieve high percentages of compression of the information to be transmitted. However, the compression rates are limited in the practice for the type of messages to encode. For this reason, new techniques have been developed in order to improve the compression rates of the traditional algorithms. In particular, source coding techniques based on computational intelligence algorithms are being studied lately. Hence, this paper proposes a new source coding technique for text compression based on two stages: the initial stage uses a deep neural network, called Text Embedding Neural Network, and the second stage uses a Canonical Huffman Code. The deep neural network increases the compression rate by controlling the level of syntax loss allowed in each message through a single adjustable parameter. This combination is able to reduce the size of the transmitted messages up to 30% with relation to only use traditional source coding algorithms.

关键词： Neural networks source coding Natural languages Syntactics Proposals Decoding Channel coding

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source coding exponents for zero-delay codes with finite memory

Source coding exponents for zero-delay codes with finite mem...

引用

IEEE International Symposium on Information Theory

作者： N. Merhav I. Kontoyiannis Department of Electrical Engineering Technion-Israel Institute of Technology Haifa Israel Applied Mathematics Division & CS Department Brown University Providence RI USA

Fundamental limits on the source coding exponents of zero-delay finite-memory (ZDFM) lossy source codes are studied.

关键词： source coding Rate distortion theory Time sharing computer systems Block codes Rate-distortion Electronic mail Vectors Linear programming Decoding

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source coding theorem for an extended Slepian-Wolf system with two interactive decoders

Source coding theorem for an extended Slepian-Wolf system wi...

引用

IEEE International Symposium on Information Theory

作者： H. Yamamoto Department of Mathematical Engineering and Information Physics University of Tokyo Bunkyo Tokyo Japan

The author considers an extended Slepian-Wolf system which has two decoders although the original Slepian-Wolf System has only one decoder. It is assumed that source outputs are i.i.d. but they are mutually correlated and the decoders communicate with each other via rate-restricted noiseless channels. Using the coding theorem derived the transmission rates of the decoders are examined.

关键词： source coding Iterative decoding Random variables Physics Block codes

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