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IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4
Neuronal Architecture for Waveguide Inductive Iris Bandpass Filter Optimization
Como, Italy
July 24-July 27
ISBN: 0-7695-0619-4
ASCII Text
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A. Mediavilla, A. Tazón, J.A. Pereda, M. Lázaro, I. Santamaría, C. Pantaleon, "Neuronal Architecture for Waveguide Inductive Iris Bandpass Filter Optimization," Neural Networks, IEEE - INNS - ENNS International Joint Conference on, vol. 4, pp. 4395, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4, 2000.
 
 
BibTex
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@article{ 10.1109/IJCNN.2000.860804,
author = {A. Mediavilla and A. Tazón and J.A. Pereda and M. Lázaro and I. Santamaría and C. Pantaleon},
title = {Neuronal Architecture for Waveguide Inductive Iris Bandpass Filter Optimization},
journal ={Neural Networks, IEEE - INNS - ENNS International Joint Conference on},
volume = {4},
year = {2000},
issn = {1098-7576},
pages = {4395},
doi = {http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.860804},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Neural Networks, IEEE - INNS - ENNS International Joint Conference on
TI - Neuronal Architecture for Waveguide Inductive Iris Bandpass Filter Optimization
SN - 1098-7576
SP
EP
A1 - A. Mediavilla,
A1 - A. Tazón,
A1 - J.A. Pereda,
A1 - M. Lázaro,
A1 - I. Santamaría,
A1 - C. Pantaleon,
PY - 2000
VL - 4
JA - Neural Networks, IEEE - INNS - ENNS International Joint Conference on
ER -
 
A. Mediavilla, University of Cantabria
A. Tazón, University of Cantabria
J.A. Pereda, University of Cantabria
M. Lázaro, University of Cantabria
I. Santamaría, University of Cantabria
C. Pantaleon, University of Cantabria
We present a simple and very accurate neuronal architecture approach matching, in a wide range of iris aperture, thickness and frequency, the numerical results obtained by using a precise High Frequency Electromagnetic Simulator for symmetrical inductive irises in rectangular waveguide. For this purpose, a Smoothed Piecewise Linear model (SPWL) has been chosen because this approach permits smooth transitions between linear regions using logarithm of hyperbolic cosine functions, well suited for the frequency behavior of these inductive irises and circuit optimization. The model has been easily implemented into MMICAD(r), by using their MDL capability. Comparisons for high order high frequency waveguide filters for satellite applications has been made, showing an excellent agreement with full 3D electromagnetic HP-HFSS(r) simulations.
Citation:
A. Mediavilla, A. Tazón, J.A. Pereda, M. Lázaro, I. Santamaría, C. Pantaleon, "Neuronal Architecture for Waveguide Inductive Iris Bandpass Filter Optimization," ijcnn, vol. 4, pp.4395, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4, 2000
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