Open AccessJournal Article
Some optimal partial-unit-memory codes
71
TL;DR: A class of time-invariant binary convolutional codes is defined, called partial-unit-memory codes, which are optimal in the sense of having maximum free distance for given values of R, k, and mu (the number of encoder memory cells).
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Abstract: A class of time-invariant binary convolutional codes is defined, called partial-unit-memory codes. These codes are optimal in the sense of having maximum free distance for given values of R, k (the number of encoder inputs), and mu (the number of encoder memory cells). Optimal codes are given for rates R = 1/4, 1/3, 1/2, and 2/3, with mu not greater than 4 and k not greater than mu + 3, whenever such a code is better than previously known codes. An infinite class of optimal partial-unit-memory codes is also constructed based on equidistant block codes.
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Citations
New short constraint length convolutional code constructions for selected rational rates (Corresp.)
TL;DR: New short constraint length convolutional code constructions are tabulated, determined by iterative search based upon a criterion of optimizing the free distance profile, to maximize the freedistance d_{f} while minimizing the number of adversaries in the distance, or weight, spectrum.
117
Constructions of MDS-convolutional codes
TL;DR: This correspondence provides an elementary construction of MDS convolutional codes for each rate k/n and each degree /spl delta/.
Bounds on distances and error exponents of unit memory codes
TL;DR: Binary unit memory codes, originally introduced by Lee, are investigated and asymptotic results for the free distance and the error probability are interpreted by Forney's inverse concatenation construction.
61
The Telecommunications and Data Acquisition Progress Report 42-123
Joseph H. Yuen
- 15 Nov 1995
TL;DR: The progress of research programs monitored by the JPL's Telecommunications and Mission Operations Directorate (TMOD) are presented in this quarterly document as mentioned in this paper, where areas monitored include space communications, radio navigation, radio science, ground-based radio and radar astronomy, information systems, and all other communication and research technology activities for the Deep Space Network (DSN).
Quasi-cyclic unit memory convolutional codes
J. Justesen,E. Paaske,M. Ballan +2 more
TL;DR: Unit memory convolutional codes with generator matrices, which are composed of circulant submatrices, are introduced, and a number of good codes, some of which result from efficient computer search and some ofWhich result from known block codes are presented.