Example of IEEE Transactions on Information Theory format
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Example of IEEE Transactions on Information Theory format Example of IEEE Transactions on Information Theory format Example of IEEE Transactions on Information Theory format Example of IEEE Transactions on Information Theory format Example of IEEE Transactions on Information Theory format
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Example of IEEE Transactions on Information Theory format Example of IEEE Transactions on Information Theory format Example of IEEE Transactions on Information Theory format Example of IEEE Transactions on Information Theory format Example of IEEE Transactions on Information Theory format
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IEEE Transactions on Information Theory — Template for authors

Publisher: IEEE
Categories Rank Trend in last 3 yrs
Library and Information Sciences #18 of 235 down down by 5 ranks
Information Systems #58 of 329 down down by 15 ranks
Computer Science Applications #127 of 693 down down by 48 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 1915 Published Papers | 12025 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 19/07/2020
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Journal Performance & Insights

Impact Factor

CiteRatio

Determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

A measure of average citations received per peer-reviewed paper published in the journal.

3.036

6% from 2018

Impact factor for IEEE Transactions on Information Theory from 2016 - 2019
Year Value
2019 3.036
2018 3.215
2017 2.187
2016 2.679
graph view Graph view
table view Table view

6.3

3% from 2019

CiteRatio for IEEE Transactions on Information Theory from 2016 - 2020
Year Value
2020 6.3
2019 6.5
2018 5.6
2017 5.7
2016 6.0
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has decreased by 6% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has decreased by 3% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

1.218

35% from 2019

SJR for IEEE Transactions on Information Theory from 2016 - 2020
Year Value
2020 1.218
2019 1.879
2018 1.473
2017 1.162
2016 1.362
graph view Graph view
table view Table view

1.867

13% from 2019

SNIP for IEEE Transactions on Information Theory from 2016 - 2020
Year Value
2020 1.867
2019 2.138
2018 2.272
2017 2.262
2016 2.032
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 35% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 13% in last years.
  • This journal’s SNIP is in the top 10 percentile category.
IEEE Transactions on Information Theory

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IEEE

IEEE Transactions on Information Theory

The IEEE TRANSACTIONS ON INFORMATION THEORY publishes papers concerned with the transmission, processing, and utilization of information. While the boundaries of acceptable subject matter are intentionally not sharply delimited, its scope currently includes Shannon theory, cod...... Read More

Library and Information Sciences

Information Systems

Computer Science Applications

Social Sciences

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Last updated on
19 Jul 2020
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ISSN
0018-9448
i
Impact Factor
Very High - 3.356
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
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Endnote Style
Download Available
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Bibliography Name
IEEEtran
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Citation Type
Numbered
[25]
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Bibliography Example
C. W. J. Beenakker, “Specular andreev reflection in graphene,” Phys. Rev. Lett., vol. 97, no. 6, p.

Top papers written in this journal

Journal Article DOI: 10.1109/TIT.1976.1055638
New Directions in Cryptography
Whitfield Diffie1, Martin E. Hellman1

Abstract:

Two kinds of contemporary developments in cryptography are examined. Widening applications of teleprocessing have given rise to a need for new types of cryptographic systems, which minimize the need for secure key distribution channels and supply the equivalent of a written signature. This paper suggests ways to solve these c... Two kinds of contemporary developments in cryptography are examined. Widening applications of teleprocessing have given rise to a need for new types of cryptographic systems, which minimize the need for secure key distribution channels and supply the equivalent of a written signature. This paper suggests ways to solve these currently open problems. It also discusses how the theories of communication and computation are beginning to provide the tools to solve cryptographic problems of long standing. read more read less

Topics:

Financial cryptography (60%)60% related to the paper, Strong cryptography (59%)59% related to the paper, Key exchange (58%)58% related to the paper, Group key (58%)58% related to the paper, Static key (57%)57% related to the paper
View PDF
14,980 Citations
open accessOpen access Journal Article DOI: 10.1109/TIT.2005.862083
Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
Emmanuel J. Candès1, Justin Romberg1, Terence Tao2

Abstract:

This paper considers the model problem of reconstructing an object from incomplete frequency samples. Consider a discrete-time signal f/spl isin/C/sup N/ and a randomly chosen set of frequencies /spl Omega/. Is it possible to reconstruct f from the partial knowledge of its Fourier coefficients on the set /spl Omega/? A typica... This paper considers the model problem of reconstructing an object from incomplete frequency samples. Consider a discrete-time signal f/spl isin/C/sup N/ and a randomly chosen set of frequencies /spl Omega/. Is it possible to reconstruct f from the partial knowledge of its Fourier coefficients on the set /spl Omega/? A typical result of this paper is as follows. Suppose that f is a superposition of |T| spikes f(t)=/spl sigma//sub /spl tau//spl isin/T/f(/spl tau/)/spl delta/(t-/spl tau/) obeying |T|/spl les/C/sub M//spl middot/(log N)/sup -1/ /spl middot/ |/spl Omega/| for some constant C/sub M/>0. We do not know the locations of the spikes nor their amplitudes. Then with probability at least 1-O(N/sup -M/), f can be reconstructed exactly as the solution to the /spl lscr//sub 1/ minimization problem. In short, exact recovery may be obtained by solving a convex optimization problem. We give numerical values for C/sub M/ which depend on the desired probability of success. Our result may be interpreted as a novel kind of nonlinear sampling theorem. In effect, it says that any signal made out of |T| spikes may be recovered by convex programming from almost every set of frequencies of size O(|T|/spl middot/logN). Moreover, this is nearly optimal in the sense that any method succeeding with probability 1-O(N/sup -M/) would in general require a number of frequency samples at least proportional to |T|/spl middot/logN. The methodology extends to a variety of other situations and higher dimensions. For example, we show how one can reconstruct a piecewise constant (one- or two-dimensional) object from incomplete frequency samples - provided that the number of jumps (discontinuities) obeys the condition above - by minimizing other convex functionals such as the total variation of f. read more read less
View PDF
14,587 Citations
Journal Article DOI: 10.1109/TIT.2004.838089
Cooperative diversity in wireless networks: Efficient protocols and outage behavior
J.N. Laneman1, David Tse2, Gregory W. Wornell1

Abstract:

We develop and analyze low-complexity cooperative diversity protocols that combat fading induced by multipath propagation in wireless networks. The underlying techniques exploit space diversity available through cooperating terminals' relaying signals for one another. We outline several strategies employed by the cooperating ... We develop and analyze low-complexity cooperative diversity protocols that combat fading induced by multipath propagation in wireless networks. The underlying techniques exploit space diversity available through cooperating terminals' relaying signals for one another. We outline several strategies employed by the cooperating radios, including fixed relaying schemes such as amplify-and-forward and decode-and-forward, selection relaying schemes that adapt based upon channel measurements between the cooperating terminals, and incremental relaying schemes that adapt based upon limited feedback from the destination terminal. We develop performance characterizations in terms of outage events and associated outage probabilities, which measure robustness of the transmissions to fading, focusing on the high signal-to-noise ratio (SNR) regime. Except for fixed decode-and-forward, all of our cooperative diversity protocols are efficient in the sense that they achieve full diversity (i.e., second-order diversity in the case of two terminals), and, moreover, are close to optimum (within 1.5 dB) in certain regimes. Thus, using distributed antennas, we can provide the powerful benefits of space diversity without need for physical arrays, though at a loss of spectral efficiency due to half-duplex operation and possibly at the cost of additional receive hardware. Applicable to any wireless setting, including cellular or ad hoc networks-wherever space constraints preclude the use of physical arrays-the performance characterizations reveal that large power or energy savings result from the use of these protocols. read more read less

Topics:

Cooperative diversity (68%)68% related to the paper, Antenna diversity (63%)63% related to the paper, Fading (59%)59% related to the paper, Diversity gain (58%)58% related to the paper, Cooperative MIMO (57%)57% related to the paper
12,761 Citations
open accessOpen access Journal Article DOI: 10.1109/TIT.1967.1053964
Nearest neighbor pattern classification
Thomas M. Cover1, Peter E. Hart2

Abstract:

The nearest neighbor decision rule assigns to an unclassified sample point the classification of the nearest of a set of previously classified points. This rule is independent of the underlying joint distribution on the sample points and their classifications, and hence the probability of error R of such a rule must be at lea... The nearest neighbor decision rule assigns to an unclassified sample point the classification of the nearest of a set of previously classified points. This rule is independent of the underlying joint distribution on the sample points and their classifications, and hence the probability of error R of such a rule must be at least as great as the Bayes probability of error R^{\ast} --the minimum probability of error over all decision rules taking underlying probability structure into account. However, in a large sample analysis, we will show in the M -category case that R^{\ast} \leq R \leq R^{\ast}(2 --MR^{\ast}/(M-1)) , where these bounds are the tightest possible, for all suitably smooth underlying distributions. Thus for any number of categories, the probability of error of the nearest neighbor rule is bounded above by twice the Bayes probability of error. In this sense, it may be said that half the classification information in an infinite sample set is contained in the nearest neighbor. read more read less

Topics:

Nearest neighbor graph (58%)58% related to the paper, Fixed-radius near neighbors (57%)57% related to the paper, Joint probability distribution (56%)56% related to the paper, Large margin nearest neighbor (56%)56% related to the paper, k-nearest neighbors algorithm (55%)55% related to the paper
View PDF
12,243 Citations
open accessOpen access Journal Article DOI: 10.1109/TIT.1982.1056489
Least squares quantization in PCM
S. P. Lloyd1

Abstract:

It has long been realized that in pulse-code modulation (PCM), with a given ensemble of signals to handle, the quantum values should be spaced more closely in the voltage regions where the signal amplitude is more likely to fall. It has been shown by Panter and Dite that, in the limit as the number of quanta becomes infinite,... It has long been realized that in pulse-code modulation (PCM), with a given ensemble of signals to handle, the quantum values should be spaced more closely in the voltage regions where the signal amplitude is more likely to fall. It has been shown by Panter and Dite that, in the limit as the number of quanta becomes infinite, the asymptotic fractional density of quanta per unit voltage should vary as the one-third power of the probability density per unit voltage of signal amplitudes. In this paper the corresponding result for any finite number of quanta is derived; that is, necessary conditions are found that the quanta and associated quantization intervals of an optimum finite quantization scheme must satisfy. The optimization criterion used is that the average quantization noise power be a minimum. It is shown that the result obtained here goes over into the Panter and Dite result as the number of quanta become large. The optimum quautization schemes for 2^{b} quanta, b=1,2, \cdots, 7 , are given numerically for Gaussian and for Laplacian distribution of signal amplitudes. read more read less

Topics:

Quantization (signal processing) (58%)58% related to the paper, Quantum (53%)53% related to the paper
View PDF
11,872 Citations
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IEEE Transactions on Information Theory format uses IEEEtran citation style.

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Frequently asked questions

1. Can I write IEEE Transactions on Information Theory in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the IEEE Transactions on Information Theory guidelines and auto format it.

2. Do you follow the IEEE Transactions on Information Theory guidelines?

Yes, the template is compliant with the IEEE Transactions on Information Theory guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in IEEE Transactions on Information Theory?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the IEEE Transactions on Information Theory citation style.

4. Can I use the IEEE Transactions on Information Theory templates for free?

Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for IEEE Transactions on Information Theory.

5. Can I use a manuscript in IEEE Transactions on Information Theory that I have written in MS Word?

Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper IEEE Transactions on Information Theory that you can download at the end.

6. How long does it usually take you to format my papers in IEEE Transactions on Information Theory?

It only takes a matter of seconds to edit your manuscript. Besides that, our intuitive editor saves you from writing and formatting it in IEEE Transactions on Information Theory.

7. Where can I find the template for the IEEE Transactions on Information Theory?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per IEEE Transactions on Information Theory's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

8. Can I reformat my paper to fit the IEEE Transactions on Information Theory's guidelines?

Of course! You can do this using our intuitive editor. It's very easy. If you need help, our support team is always ready to assist you.

9. IEEE Transactions on Information Theory an online tool or is there a desktop version?

SciSpace's IEEE Transactions on Information Theory is currently available as an online tool. We're developing a desktop version, too. You can request (or upvote) any features that you think would be helpful for you and other researchers in the "feature request" section of your account once you've signed up with us.

10. I cannot find my template in your gallery. Can you create it for me like IEEE Transactions on Information Theory?

Sure. You can request any template and we'll have it setup within a few days. You can find the request box in Journal Gallery on the right side bar under the heading, "Couldn't find the format you were looking for like IEEE Transactions on Information Theory?”

11. What is the output that I would get after using IEEE Transactions on Information Theory?

After writing your paper autoformatting in IEEE Transactions on Information Theory, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is IEEE Transactions on Information Theory's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for IEEE Transactions on Information Theory?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for IEEE Transactions on Information Theory. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In IEEE Transactions on Information Theory?

The 5 most common citation types in order of usage for IEEE Transactions on Information Theory are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

15. How do I submit my article to the IEEE Transactions on Information Theory?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per IEEE Transactions on Information Theory's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download IEEE Transactions on Information Theory in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in IEEE Transactions on Information Theory Endnote style according to Elsevier guidelines.

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