IEEE Transactions on Information Theory

  0018-9448

  1557-9654

  Mỹ

Cơ quản chủ quản:  IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , Institute of Electrical and Electronics Engineers Inc.

Lĩnh vực:
Information SystemsLibrary and Information SciencesComputer Science Applications

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Thông tin về tạp chí

 

The IEEE Transactions on Information Theory is a journal that publishes theoretical and experimental papers concerned with the transmission, processing, and utilization of information. The boundaries of acceptable subject matter are intentionally not sharply delimited. Rather, it is hoped that as the focus of research activity changes, a flexible policy will permit this Transactions to follow suit. Current appropriate topics are best reflected by recent Tables of Contents; they are summarized in the titles of editorial areas that appear on the inside front cover.

Các bài báo tiêu biểu

A generalized uncertainty principle and sparse representation in pairs of bases
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M. Elad, A.M. Bruckstein
An elementary proof of a basic uncertainty principle concerning pairs of representations of R/sup N/ vectors in different orthonormal bases is provided. The result, slightly stronger than stated before, has a direct impact on the uniqueness property of the sparse representation of such vectors using pairs of orthonormal bases as overcomplete dictionaries. The main contribution in this paper is the improvement of an important result due to Donoho and Huo (2001) concerning the replacement of the l/sub 0/ optimization problem by a linear programming (LP) minimization when searching for the unique sparse representation.
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J. Nicholas Laneman, Gregory W. Wornell
Rates of convergence of nearest neighbor estimation under arbitrary sampling
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<tex>k_n</tex>-nearest neighbor classification
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Learning pattern classification-a survey
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