scholarly journals An Analog Filter Bank-based Circuit for Performing the Adaptive Impedance Matching in PLC Systems

2021 ◽  
Vol 36 (1) ◽  
pp. 133-150
Author(s):  
Luís Costa ◽  
Antônio de Queiroz ◽  
Vinícius da Costa ◽  
Moisés Ribeiro
Keyword(s):  
Filter Bank ◽  
Impedance Matching ◽  
Analog Filter

Integrated analog filter bank for adaptive optics speckle field statistical analysis

2005 ◽  
Author(s):  
Yunbin Deng ◽  
Gert Cauwenberghs ◽  
Ernst Polnau ◽  
Gary Carhart ◽  
Mikhail Vorontsov
Keyword(s):  
Statistical Analysis ◽  
Adaptive Optics ◽  
Filter Bank ◽  
Analog Filter ◽  
Speckle Field

Analog Implementation of Wavelet Filter Based on Switched Current Circuits

2013 ◽  
Vol 333-335 ◽  
pp. 588-591
Author(s):  
Qin Chun Hu
Keyword(s):  
Filter Bank ◽  
Transfer Functions ◽  
Padé Approximation ◽  
Wavelet Filter ◽  
Impulse Responses ◽  
Analog Filter ◽  
First Derivative ◽  
Basic Wavelet ◽  
Switched Current ◽  
Analog Implementation

Scheme for the implementation of wavelet filter using switched-current (SI) circuits is presented in this paper. The circuits are composed of analog filter bank whose impulse responses are the first derivative of Gaussian and its dilations. The transfer functions of the basic wavelet filter can be given by Pade approximation. Therefore wavelet filter can be conveniently implemented by SI circuits. Simulated results indicated a good performance of wavelet filter.

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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