2023
DOI: 10.3934/amc.2021031
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A decoding algorithm for 2D convolutional codes over the erasure channel

Abstract: <p style='text-indent:20px;'>Two-dimensional (2D) convolutional codes are a generalization of (1D) convolutional codes, which are suitable for transmission over an erasure channel. In this paper, we present a decoding algorithm for 2D convolutional codes over such a channel by reducing the decoding process to several decoding steps applied to 1D convolutional codes. Moreover, we provide constructions of 2D convolutional codes that are specially tailored to our decoding algorithm.</p>

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Cited by 1 publication
(7 citation statements)
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“…where a j 0 = −H Ω ν v Ω ν is known and H W is as in (8). Moreover, consider the 1D convolutional code C h with a parity check as defined in (10) and with a column distance d ℓ , ℓ ≥ 0. If there exists ℓ 0 such that at most there are d c ℓ 0 − 1 erasures that occur in any (ℓ 0 + 1)n consecutive components of v W , then we can completely recover the vector v W .…”
Section: Lemma 3 ([9]mentioning
confidence: 99%
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“…where a j 0 = −H Ω ν v Ω ν is known and H W is as in (8). Moreover, consider the 1D convolutional code C h with a parity check as defined in (10) and with a column distance d ℓ , ℓ ≥ 0. If there exists ℓ 0 such that at most there are d c ℓ 0 − 1 erasures that occur in any (ℓ 0 + 1)n consecutive components of v W , then we can completely recover the vector v W .…”
Section: Lemma 3 ([9]mentioning
confidence: 99%
“…Very recently, in [10], an alternative decoding algorithm for 2D convolutional codes was presented. The proposed method also follows the idea of decoding in two directions: horizontal and vertical.…”
Section: Decoding Algorithmmentioning
confidence: 99%
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