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AT&T Technical Journal is a peer-reviewed journal published by IEEE, covering Manufacturing Process and Optimization, Mobile Agent-Based Network Management, Engineering and Test Systems.
| Publisher | IEEE |
|---|---|
| Reference style | Numbered (IEEE) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, and C. Lee, "A representative article title," AT&T Technical Journal, vol. 12, no. 3, pp. 45–58, 2023.
Formats any DOI in AT&T Technical Journal style. No sign-up. |
| Publishes research in | Manufacturing Process and Optimization Mobile Agent-Based Network Management Engineering and Test Systems Service-Oriented Architecture and Web Services Software Engineering Techniques and Practices |
| ISSN | 2376-676X |
| h-index | 40 |
| i10-index | 192 |
| Total citations | 8,967 |
| Top institutions publishing here | AT&T (United States) |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
We propose a probabilistic distance measure for measuring the dissimilarity between pairs of hidden Markov models with arbitrary observation densities. The measure is based on the Kullback-Leibler number and is consistent with the reestimation technique for hidden Markov models. Numerical examples that demonstrate the utility of the proposed distance measure are given for hidden Markov…
This paper analyzes a mathematical model of a blocking system with simultaneous resource possession. There are several multiserver service facilities without extra waiting space at which several classes of customers arrive in independent Poisson processes. Each customer requests service from one server in each facility in a subset of the service facilities, with the subset…
In this paper we extend previous work on isolated-word recognition based on hidden Markov models by replacing the discrete symbol representation of the speech signal with a continuous Gaussian mixture density. In this manner the inherent quantization error introduced by the discrete representation is essentially eliminated. The resulting recognizer was tested on a vocabulary of…
For a multiuser data communications system operating over a mutually cross-coupled linear channel with additive noise sources, we determine the following: (1) a linear cross-coupled receiver processor (filter) that yields the least-mean-squared error between the desired outputs and the actual outputs, and (2) a cross-coupled transmitting filter that optimally distributes the total available power among…
In this paper we discuss parameter estimation by means of the reestimation algorithm for a class of multivariate mixture density functions of Markov chains. The scope of the original reestimation algorithm is expanded and the previous assumptions of log concavity or ellipsoidal symmetry are obviated, thereby enhancing the modeling capability of the technique. Reestimation formulas…
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