Published January 1993
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The Extended Invariant Factor Algorithm with Application to the Forney Analysis of Convolutional Codes
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Abstract
In his celebrated paper on the algebraic structure of convolutional codes, Forney showed that by using the invariant-factor theorem, one can transform an arbitrary polynomial generator matrix for an (n, k) convolutional code C into a basic (and ultimately a minimal) generator matrix for C. He also showed how to find a polynomial inverse for a basic generator matrix for C, and a basic generator matrix for the dual code C^⊥. In this paper, we will discuss efficient ways to do all these things. Our main tool is the "entended invariant factor algorithm," which we introduce here.
Additional Information
© 1993 IEEE. Issue Date: 17-22 Jan 1993. The contribution of Ivan Onyszchuk, and a portion of the contribution of Robert J. McEliece, to this paper, was carried out at Caltech's Jet Propulsion Laboratory, under contract with the National Aeronautics and Space Administration. A portion of McEliece's contribution was also carried out at Caltech's Electrical Engineering department, and supported by AFOSR grant no. 91-0037.Attached Files
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Identifiers
- Eprint ID
- 29666
- Resolver ID
- CaltechAUTHORS:20120309-122814096
Funding
- NASA
- Air Force Office of Scientific Research (AFOSR)
- 91-0037
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2012-03-12Created from EPrint's datestamp field
- Updated
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2021-11-09Created from EPrint's last_modified field