2017
DOI: 10.1016/j.laa.2017.02.020
|View full text |Cite
|
Sign up to set email alerts
|

Frame scalings: A condition number approach

Abstract: Abstract. Scaling frame vectors is a simple and noninvasive way to construct tight frames. However, not all frames can be modifed to tight frames in this fashion, so in this case we explore the problem of finding the best conditioned frame by scaling, which is crucial for applications like signal processing. We conclude that this problem is equivalent to solving a convex optimization problem involving the operator norm, which is unconventional since this problem was only studied in the perspective of Frobenius… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
5
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
5
2

Relationship

1
6

Authors

Journals

citations
Cited by 8 publications
(5 citation statements)
references
References 24 publications
(38 reference statements)
0
5
0
Order By: Relevance
“…i=1 in an n-dimensional Hilbert space H n is a frame if there are constants 0 < A ≤ B < ∞ satisfying: 2 , for all φ ∈ H n .…”
Section: A Family Of Vectors {φ I } Mmentioning
confidence: 99%
See 1 more Smart Citation
“…i=1 in an n-dimensional Hilbert space H n is a frame if there are constants 0 < A ≤ B < ∞ satisfying: 2 , for all φ ∈ H n .…”
Section: A Family Of Vectors {φ I } Mmentioning
confidence: 99%
“…A frame is scalable if we can change the lengths of the frame vectors to form a tight frame. Since then, much work has been done on this problem [1,2,5,6,7,8,9,10]. The reason we like this is because the condition number heavily determines the complexity of reconstruction.…”
Section: A Family Of Vectors {φ I } Mmentioning
confidence: 99%
“…We refer the reader to, e.g., weighted and controlled frames [37], which are under very mild conditions equivalent to classical Hilbert frames. Nonetheless, they have applications for example in the implementation of wavelets on the sphere [53, 54], and nowadays become important for the scaling of frames [55, 56]. As a trivial example, look at , where is an orthonormal basis for .…”
Section: Stevenson Frames Revisitedmentioning
confidence: 99%
“…Definition 1.1. A family of vectors {x i } m i=1 in an n-dimensional Hilbert space H n is a frame if there are constants 0 < A ≤ B < ∞ satisfying: 2 , for all x ∈ H n .…”
Section: Introductionmentioning
confidence: 99%
“…There is a lot of literature on the subject of scalable frames [1,2,3,6,8,9,10,11,13,14]. Unfortunately the frames for which this standard scaling process is possible are very few.…”
Section: Introductionmentioning
confidence: 99%