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…
IEEE ASSP Magazine Template
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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.
| Publisher | IEEE |
|---|---|
| Reference style | Numbered (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 in | Diverse Scientific and Economic Studies Human auditory perception and evaluation Earthquake and Disaster Impact Studies Science, Research, and Medicine Educational Robotics and Engineering |
| ISSN | 0740-7467 |
| h-index | 29 |
| i10-index | 38 |
| Total citations | 21,274 |
| Top institutions publishing here | American Society of Safety Professionals |
| Journal website | ieeexplore.ieee.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in IEEE ASSP Magazine per year
Citation impact of IEEE ASSP Magazine by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in IEEE ASSP Magazine
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…
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">></ETX>
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…
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…