Catastrophicity Test for Time-Varying Convolutional Encoders

Autor:	Conor O'Donoghue, Cyril J. Burkley
Rok vydání:	1999
Předmět:	Computer science Convolutional code Data_CODINGANDINFORMATIONTHEORY Communication complexity Encoder Algorithm Transform coding Generator (mathematics)
Zdroj:	Cryptography and Coding ISBN: 9783540668879 IMA Int. Conf.
Popis:	A new catastrophicity test for convolutional encoders whose rate and generator polynomials vary with time is presented. Based on this test computationally efficient algorithm to determine whether or not a time-varying convolutional encoder is catastrophic is derived. This algorithm is shown to be simpler than the catastrophicity test proposed by Balakirsky [1]. Furthermore, the algorithm can easily be generalised to rate k/n time-varying convolutional encoders.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::726b8627108aaa98a9cce5f76e26fb45 https://doi.org/10.1007/3-540-46665-7_17 Zobrazit plný text záznamu