On nearly orthogonal lattice bases and random lattices

被引:15
作者
Neelamani, Ramesh [1 ]
Dash, Sanjeeb
Baraniuk, Richard G.
机构
[1] ExxonMobil Upstream Res Co, Houston, TX 77027 USA
[2] IBM Corp, Thomas J Watson Res Ctr, Yorktown Hts, NY 10598 USA
[3] Rice Univ, Dept Elect & Comp Engn, Houston, TX 77005 USA
关键词
lattices; shortest lattice vector; random lattice; JPEG; compression;
D O I
10.1137/050635985
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We study lattice bases where the angle between any basis vector and the linear subspace spanned by the other basis vectors is at least p 3 radians; we denote such bases as "nearly orthogonal." We show that a nearly orthogonal lattice basis always contains a shortest lattice vector. Moreover, we prove that if the basis vector lengths are "nearly equal," then the basis is the unique nearly orthogonal lattice basis up to multiplication of basis vectors by +/- 1. We also study random lattices generated by the columns of random matrices with n rows and m <= n columns. We show that if m <= cn, with c approximate to 0.071, then the random matrix forms a nearly orthogonal basis for the random lattice with high probability for large n and almost surely as n tends to infinity. Consequently, the columns of such a random matrix contain the shortest vector in the random lattice. Finally, we discuss an interesting JPEG image compression application where nearly orthogonal lattice bases play an important role.
引用
收藏
页码:199 / 219
页数:21
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