P6G-3 Switchable SAW Filter Bank with Both Narrow & Wide Channel Bandwidth and 10 Channels SAW Filter Bank

2007 ◽  
Author(s):  
J. Liu ◽  
S. He ◽  
S. Li ◽  
Y. Liang
Keyword(s):  
Filter Bank ◽  
Wide Channel ◽  
Channel Bandwidth

An automated diagnosis of depression using three-channel bandwidth-duration localized wavelet filter bank with EEG signals

2018 ◽  
Vol 52 ◽  
pp. 508-520 ◽  
Author(s):  
Manish Sharma ◽  
P.V. Achuth ◽  
Dipankar Deb ◽  
Subha D. Puthankattil ◽  
U. Rajendra Acharya
Keyword(s):  
Filter Bank ◽  
Wavelet Filter ◽  
Automated Diagnosis ◽  
Eeg Signals ◽  
Channel Bandwidth ◽  
Wavelet Filter Bank

TEM characterization of proton-exchanged LiNbO3 optical waveguides

1986 ◽  
Vol 44 ◽  
pp. 480-481
Author(s):  
W. E. Lee
Keyword(s):  
Refractive Index ◽  
Benzoic Acid ◽  
Optical Waveguides ◽  
Total Internal Reflection ◽  
Index Of Refraction ◽  
Optical Measurements ◽  
Lithium Ions ◽  
Wide Channel ◽  
Tem Characterization

An optical waveguide consists of a several-micron wide channel with a slightly different index of refraction than the host substrate; light can be trapped in the channel by total internal reflection.Optical waveguides can be formed from single-crystal LiNbO3 using the proton exhange technique. In this technique, polished specimens are masked with polycrystal1ine chromium in such a way as to leave 3-13 μm wide channels. These are held in benzoic acid at 249°C for 5 minutes allowing protons to exchange for lithium ions within the channels causing an increase in the refractive index of the channel and creating the waveguide. Unfortunately, optical measurements often reveal a loss in waveguiding ability up to several weeks after exchange.

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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