scholarly journals Filter bank frame expansions with erasures

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

scholarly journals Quantization of Filter Bank Frame Expansions Through Moving Horizon Optimization

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

Filter Bank Transceivers For Ofdm and Dmt Systems

2011 ◽  
Author(s):  
Yuan-Pei Lin ◽  
See-May Phoong ◽  
P. P. Vaidyanathan
Keyword(s):  
Filter Bank

281. Evaluation of a High-Efficiency Filter-Bank System

2005 ◽  
Author(s):  
S. Martin ◽  
E. Moyer ◽  
B. Beamer
Keyword(s):  
Filter Bank ◽  
High Efficiency ◽  
Bank System

Expansion of a Frequency Range in the WR-4 Band Filter Bank

2019 ◽  
Vol 139 (11) ◽  
pp. 551-557 ◽  
Author(s):  
Takashi Kawamura ◽  
Masaaki Fuse ◽  
Shigenori Mattori
Keyword(s):  
Filter Bank ◽  
Frequency Range ◽  
Band Filter

Image Fusion Method Based on Multi-scale Directional Fast Guided Filter and Convolutional Sparse Representation

2019 ◽  
Vol 12 (3) ◽  
pp. 263-269
Author(s):  
Liu Xian-Hong ◽  
Chen Zhi-Bin
Keyword(s):  
Image Fusion ◽  
Sparse Representation ◽  
Filter Bank ◽  
Guided Filter ◽  
Fusion Method ◽  
Edge Preserving ◽  
Directional Information ◽  
Multi Scale ◽  
Directional Filter ◽  
Image Fusion Method

Background: A multi-scale multidirectional image fusion method is proposed, which introduces the Nonsubsampled Directional Filter Bank (NSDFB) into the multi-scale edge-preserving decomposition based on the fast guided filter. Methods: The proposed method has the advantages of preserving edges and extracting directional information simultaneously. In order to get better-fused sub-bands coefficients, a Convolutional Sparse Representation (CSR) based approximation sub-bands fusion rule is introduced and a Pulse Coupled Neural Network (PCNN) based detail sub-bands fusion strategy with New Sum of Modified Laplacian (NSML) to be the external input is also presented simultaneously. Results: Experimental results have demonstrated the superiority of the proposed method over conventional methods in terms of visual effects and objective evaluations. Conclusion: In this paper, combining fast guided filter and nonsubsampled directional filter bank, a multi-scale directional edge-preserving filter image fusion method is proposed. The proposed method has the features of edge-preserving and extracting directional information.

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