Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Convolutional Codes with Maximum Column Sum Rank for Network Streaming   The column Hamming distance of a convolutional code determines the error
correction capability when streaming over a class of packet erasure channels.
We introduce a metric known as the column sum rank, that parallels column
Hamming distance when streaming over a network with link failures. We prove
rank analogues of several known column Hamming distance properties and
introduce a new family of convolutional codes that maximize the column sum rank
up to the code memory. Our construction involves finding a class of
super-regular matrices that preserve this property after multiplication with
non-singular block diagonal matrices in the ground field.

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The categories of this paper are: supr-con
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The categories of this paper are: acc-phys
9
The categories of this paper are: nlin
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The categories of this paper are: stat
13
The categories of this paper are: quant-ph
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The categories of this paper are: q-alg
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The categories of this paper are: cmp-lg
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The categories of this paper are: alg-geom
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The categories of this paper are: atom-ph
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The categories of this paper are: chem-ph
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The categories of this paper are: cond-mat
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The categories of this paper are: solv-int
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The categories of this paper are: dg-ga
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The categories of this paper are: hep-ph
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The categories of this paper are: mtrl-th
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The categories of this paper are: patt-sol