Sparse Recovery Using the Discrete Cosine Transform

被引:1
作者
Barros, Benjamin [1 ]
Johnson, Brody Dylan [1 ]
机构
[1] St Louis Univ, Dept Math & Stat, 220 North Grand Blvd, St Louis, MO 63103 USA
关键词
Sparse recovery; Discrete cosine transform; Compressive sensing;
D O I
10.1007/s12220-020-00574-0
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
This note considers the problem of sparse recovery in R-n from linear measurements associated with a discrete cosine transform. The main theorem shows that an s-sparse vector in R-n can be recovered from the first 2s coefficients of its discrete cosine transform. This theorem is a real-valued analog of a result in Foucart and Rauhut (A mathematical introduction to compressive sensing, applied and numerical harmonic analysis, Birkhauser/Springer, New York, 2013) concerned with sparse recovery in C-n based on linear measurements via the discrete Fourier transform.
引用
收藏
页码:8991 / 8998
页数:8
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