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IEEE ASSP Magazine Template

Write in a clean editor, then format for IEEE ASSP Magazine in one click — DocuGuru applies the official IEEE template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.

About the IEEE ASSP Magazine format

IEEE ASSP Magazine is a peer-reviewed journal published by IEEE, covering Diverse Scientific and Economic Studies, Human auditory perception and evaluation, Earthquake and Disaster Impact Studies.

PublisherIEEE
Reference styleNumbered (IEEE)
Numbered — [1], [2] in the text
[1] A. Smith, B. Jones, and C. Lee, "A representative article title," IEEE ASSP Magazine, vol. 12, no. 3, pp. 45–58, 2023.

Formats any DOI in IEEE ASSP Magazine style. No sign-up.

Publishes research inDiverse Scientific and Economic Studies Human auditory perception and evaluation Earthquake and Disaster Impact Studies Science, Research, and Medicine Educational Robotics and Engineering
ISSN0740-7467
h-index29
i10-index38
Total citations21,274
Top institutions publishing hereAmerican Society of Safety Professionals
Journal websiteieeexplore.ieee.org
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in IEEE ASSP Magazine per year

48
1984
44
1985
48
1986
48
1987
6
1988
4
1989
7
1990
1
2017

Citation impact of IEEE ASSP Magazine by publication year

1.1K
1984
533
1985
5K
1986
8.4K
1987
4.1K
1988
1.6K
1989
574
1990
0
2017

Citations each year’s papers have accumulated so far — the most recent years are still building up.

Most-cited papers in IEEE ASSP Magazine

An introduction to computing with neural nets

Richard P. Lippmann · 1 Jan 1987

Artificial neural net models have been studied for many years in the hope of achieving human-like performance in the fields of speech and image recognition. These models are composed of many nonlinear computational elements operating in parallel and arranged in patterns reminiscent of biological neural nets. Computational elements or nodes are connected via weights that…

7,862 citations Cite SaveGo to paper →
An introduction to hidden Markov models

L. R. Rabiner, Biing‐Hwang Juang · 1 Jan 1986

The basic theory of Markov chains has been known to mathematicians and engineers for close to 80 years, but it is only in the past decade that it has been applied explicitly to problems in speech processing. One of the major reasons why speech models, based on Markov chains, have not been developed until recently…

4,795 citations Cite SaveGo to paper →
Beamforming: a versatile approach to spatial filtering

B.D. Van Veen, K.M. Buckley · 1 Apr 1988

An overview of beamforming from a signal-processing perspective is provided, with an emphasis on recent research. Data-independent, statistically optimum, adaptive, and partially adaptive beamforming are discussed. Basic notation, terminology, and concepts are included. Several beamformer implementations are briefly described.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

3,857 citations Cite SaveGo to paper →
Applications of distributed arithmetic to digital signal processing: a tutorial review

S.A. White · 1 Jul 1989

The history and fundamentals of distributed arithmetic (DA) are presented. Ways to increase the speed of DA multiplication are described. DA is applied to a biquadratic digital filter, providing an example of vector dot-product and vector-matrix-product mechanization. Applications to transformers and nonlinear and/or nonstationary processing with DA are discussed. It is seen that DA is…

Adaptive IIR filtering

J.J. Shynk · 1 Apr 1989

An overview is presented of several methods, filter structures, and recursive algorithms used in adaptive infinite-impulse response (IIR) filtering. Both the equation-error and output-error formulations are described, although the focus is on the adaptive algorithms and properties of the output-error configuration. These parameter-update algorithms have the same generic form, and they are based on a…

IEEE ASSP Magazine template — frequently asked questions

How do I write a paper in the IEEE ASSP Magazine format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the IEEE ASSP Magazine template. When you export, DocuGuru compiles the paper into the official IEEE format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does IEEE ASSP Magazine use?
IEEE ASSP Magazine uses Numbered (IEEE) references, shown as numbered [1], [2] markers in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: [1] A. Smith, B. Jones, and C. Lee, "A representative article title," IEEE ASSP Magazine, vol. 12, no. 3, pp. 45–58, 2023.
Do I need to know LaTeX to submit to IEEE ASSP Magazine?
No. DocuGuru generates the IEEEtran LaTeX class and compiles the PDF for you in the background, so you get a IEEE-ready IEEE ASSP Magazine document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
Can I import an existing draft into the IEEE ASSP Magazine template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the IEEE ASSP Magazine format with correct headings, figures, tables, and numbered citations.
Who publishes IEEE ASSP Magazine?
IEEE ASSP Magazine is a engineering and computer science journal published by IEEE. DocuGuru's IEEE ASSP Magazine template matches IEEE's official submission format.
Can I export a submission-ready IEEE ASSP Magazine PDF?
Yes — DocuGuru produces a PDF built with the official IEEE ASSP Magazine template (the IEEEtran class) that is ready to submit to IEEE, together with the matching LaTeX source files.
How much does the IEEE ASSP Magazine template cost?
You can start writing in the IEEE ASSP Magazine template for free. Exporting the final submission-ready IEEE ASSP Magazine PDF and LaTeX source is part of DocuGuru's paid plans — see the app for current pricing.
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