Sequence Reconstruction over the Deletion Channel
By: Fengxing Zhu
Potential Business Impact:
Recovers lost computer code even with missing parts.
In this paper, we consider the Levenshtein's sequence reconstruction problem in the case where the transmitted codeword is chosen from $\{0,1\}^n$ and the channel can delete up to $t$ symbols from the transmitted codeword. We determine the minimum number of channel outputs (assuming that they are distinct) required to reconstruct a list of size $\ell-1$ of candidate sequences, one of which corresponds to the original transmitted sequence. More specifically, we determine the maximum possible size of the intersection of $\ell \geq 3$ deletion balls of radius $t$ centered at $x_1, x_2, \dots, x_{\ell}$, where $x_i \in \{0,1\}^n$ for all $i \in \{1,2,\dots,\ell\}$ and $x_i \neq x_j$ for $i \neq j$, with $n \geq t+ \ell-1$ and $t \geq 1$.
Similar Papers
Sequence Reconstruction under Channels with Multiple Bursts of Insertions or Deletions
Information Theory
Finds shortest way to send messages without errors.
Sequence Reconstruction for Sticky Insertion/Deletion Channels
Information Theory
Fixes data errors in new storage like DNA.
Sequence Reconstruction over Coloring Channels for Protein Identification
Information Theory
Rebuilds deleted sequence parts using smart color patterns