2013
DOI: 10.1016/j.laa.2012.10.030
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Necessary and sufficient conditions to perform Spectral Tetris

Abstract: Spectral Tetris has proved to be a powerful tool for constructing sparse equal norm Hilbert space frames. We introduce a new form of Spectral Tetris which works for non-equal norm frames. It is known that this method cannot construct all frames -even in the new case introduced here. Until now, it has been a mystery as to why Spectral Tetris sometimes works and sometimes fails. We will give a complete answer to this mystery by giving necessary and sufficient conditions for Spectral Tetris to construct frames in… Show more

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Cited by 11 publications
(28 citation statements)
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“…Next, since row one needs to square sum to 11 4 , by (3), and we only have a total weight of 1 in row one, then we need to add 11 4 − 1 = 7 4 = 1 + 3 4 ≥ 1 more weight to row one. So we will again be greedy and add another 1 in t 1,2 .…”
Section: Spectral Tetris Frame Constructions: the Basics Of Spectral mentioning
confidence: 99%
See 3 more Smart Citations
“…Next, since row one needs to square sum to 11 4 , by (3), and we only have a total weight of 1 in row one, then we need to add 11 4 − 1 = 7 4 = 1 + 3 4 ≥ 1 more weight to row one. So we will again be greedy and add another 1 in t 1,2 .…”
Section: Spectral Tetris Frame Constructions: the Basics Of Spectral mentioning
confidence: 99%
“…The diagonal entries of T * are now { 11 4 , 11 4 , 6 4 +?, ·}, where the third diagonal entry, and equivalently the third row, are falling short by 11 4 − 6 4 = 5 4 = 1 + 1 4 . Since 1 + 1 4 ≥ 1, then we take the eighth column of T * to be e 3 .…”
Section: Spectral Tetris Frame Constructions: the Basics Of Spectral mentioning
confidence: 99%
See 2 more Smart Citations
“…We refer to [15] for an introduction to frame theory and to [8] for an overview of the current research in the field. Frames have traditionally played a significant role in the theory of signal processing, but today they have found application to packet based network communication [7,18], wireless sensor networks [9,10,11,12], distributed processing [7], quantum information theory, bio-medical engineering [2,25], compressed sensing [3,14], fingerprinting [26], spectral theory [6,19,20], and much more.…”
Section: Introductionmentioning
confidence: 99%