The unconditional constants of frame expansions and cross-frame expansions

2015 ◽  
Author(s):  
Travis Bemrose ◽  
Peter G. Casazza ◽  
Richard G. Lynch
Keyword(s):  
2007 ◽  
Vol 146 (1) ◽  
pp. 28-70 ◽  
Author(s):  
Hans G. Feichtinger ◽  
Wenchang Sun ◽  
Xingwei Zhou

2018 ◽  
Vol 72 ◽  
pp. 75-82 ◽  
Author(s):  
Dongwei Li ◽  
Jinsong Leng ◽  
Tingzhu Huang ◽  
Qing Gao
Keyword(s):  

2002 ◽  
Vol 48 (6) ◽  
pp. 1439-1450 ◽  
Author(s):  
J. Kovacevic ◽  
P.L. Dragotti ◽  
V.K. Goyal
Keyword(s):  

2006 ◽  
Vol 20 (1) ◽  
pp. 26-40 ◽  
Author(s):  
John J. Benedetto ◽  
Götz E. Pfander
Keyword(s):  

2001 ◽  
Vol 10 (3) ◽  
pp. 203-233 ◽  
Author(s):  
Vivek K. Goyal ◽  
Jelena Kovačević ◽  
Jonathan A. Kelner
Keyword(s):  

Author(s):  
OFER AMRANI ◽  
AMIR AVERBUCH ◽  
TAMIR COHEN ◽  
VALERY A. ZHELUDEV

A new class of wavelet-type frames in signal space that uses (anti)symmetric waveforms is presented. The construction employs interpolatory filters with rational transfer functions. These filters have linear phase. They are amenable either to fast cascading or parallel recursive implementation. Robust error recovery algorithms are developed by utilizing the redundancy inherent in frame expansions. Experimental results recover images when (as much as) 60% of the expansion coefficients are either lost or corrupted. The proposed approach inflates the size of the image through framelet expansion and multilevel decomposition thus providing redundant representation of the image. Finally, the frame-based error recovery algorithm is compared with a classical coding approach.


2009 ◽  
Vol 57 (2) ◽  
pp. 503-515 ◽  
Author(s):  
D.E. Quevedo ◽  
H. Bolcskei ◽  
G.C. Goodwin
Keyword(s):  

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