DocumentCode
910083
Title
Group codes for the Gaussian channel (Abstr.)
Author
Slepian, D.
Volume
14
Issue
2
fYear
1968
fDate
3/1/1968 12:00:00 AM
Firstpage
242
Lastpage
242
Abstract
A class of equal-energy codes for use on the Gaussian channel is defined and investigated. Members of the class are eared group codes because of the manner in which they can be generated from a group of orthogonal matrices. Group codes possess an important symmetry property. Roughly speaking, all words in such a code are on an equal footing: each has the same error probability (under the assumptions of the usual model) and each has the same disposition of neighbors. A number of theorems about such codes are proved. A decomposition theorem shows every group code to be equivalent to a direct sum of certain basic group codes generated by real-irreducible representations of a finite group associated with the code. Some theorems on distances between words in group codes are demonstrated. The difficult problem of finding group codes with large nearest neighbor distance is discussed in detail and formulated in several ways. It is noted that linear (or group) codes for the binary channel can be regarded as very speciM cases of the group codes discussed. A definition of a group code for the Gaussian channel follows. An equal-energy code
with parameters
and
for this channel is a collection of
distinct unit
-vectors,
say, that span a Euclidean
-space. An
orthogonal matrix
is said to be a symmetry of
if the
vectors
are again the collection
. The set of all symmetries of
, say
, forms a group
under matrix multiplication. If
contains
elements
such that
, then
is called a group code.
with parameters
and
for this channel is a collection of
distinct unit
-vectors,
say, that span a Euclidean
-space. An
orthogonal matrix
is said to be a symmetry of
if the
vectors
are again the collection
. The set of all symmetries of
, say
, forms a group
under matrix multiplication. If
contains
elements
such that
, then
is called a group code.Keywords
Gaussian processes; Group codes; Error probability; Gaussian channels; Information theory; Laboratories; Nearest neighbor searches; Telephony;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.1968.1054110
Filename
1054110
Link To Document