Back to results
Bibliographic record · Consultation and access
Artículo

The viterbi algorithm

G. David Forney · Proceedings of the IEEE · 1973

Resource page
Quick overview. Review the resource’s basic details, then access the content using the main button. This page shows only the information needed to identify, cite, and open the work.

Resource access

Open the content from the main option or choose another available source.

OpenAlex OpenAlex Works
Entrar por OpenAlex
Main access

Resource page

Resource reference page. Full text availability has not been automatically confirmed.
Open resource

Summary

Descripción general del contenido del recurso.

The Viterbi algorithm (VA) is a recursive optimal solution to the problem of estimating the state sequence of a discrete-time finite-state Markov process observed in memoryless noise. Many problems in areas such as digital communications can be cast in this form. This paper gives a tutorial exposition of the algorithm and of how it is implemented and analyzed. Applications to date are reviewed. Increasing use of the algorithm in a widening variety of areas is foreseen.

How to cite

Elegí el formato que necesitás y copiá la referencia al portapapeles.

APA 7

Forney, G. D. (1973). The viterbi algorithm. https://doi.org/10.1109/proc.1973.9030

MLA

Forney, G. David. "The viterbi algorithm." 1973. https://doi.org/10.1109/proc.1973.9030.

Chicago

Forney, G. David. 1973. "The viterbi algorithm.". https://doi.org/10.1109/proc.1973.9030.

Harvard

Forney, G. D. 1973, The viterbi algorithm, Proceedings of the IEEE, available at: https://doi.org/10.1109/proc.1973.9030 [Accessed 7 Aug. 2026].

Share and print

Save the record, copy its permanent link, or print it as a PDF.

Export reference

You can export the record in common formats for use in a reference manager.

Resource details

Bibliographic information to help confirm that this is the correct material.

Title
The viterbi algorithm
Author / contributors
G. David Forney
Publisher
Proceedings of the IEEE
Publication year
1973
Language
English

Subjects

Explore related resources through these subjects.

Copied