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Zabdiel Brito-Brito

Researcher at University of Guadalajara

Publications -  35
Citations -  280

Zabdiel Brito-Brito is an academic researcher from University of Guadalajara. The author has contributed to research in topics: Low-pass filter & Band-stop filter. The author has an hindex of 9, co-authored 34 publications receiving 217 citations. Previous affiliations of Zabdiel Brito-Brito include Instituto Politécnico Nacional & Polytechnic University of Catalonia.

Papers
More filters
Journal ArticleDOI

Space mapping optimization of handset antennas considering EM effects of mobile phone components and human body

TL;DR: An efficient antenna design optimization methodology that considers the influence of the human head and main mobile handset components on the antenna performance is presented and the computational optimization time is dramatically reduced by exploiting a Broyden‐based input space mapping (SM) algorithm.
Journal ArticleDOI

Halved Vivaldi Antenna With Reconfigurable Band Rejection

TL;DR: In this article, a Vivaldi antenna with the capability of dynamically rejecting interferers, mainly aiming at multistandard communication with dynamic frequencies allocation, is presented, and the measured return loss, gain, and radiation patterns are presented.
Proceedings ArticleDOI

Microstrip Switchable Bandstop Filter using PIN Diodes with Precise Frequency and Bandwidth Control

TL;DR: In this paper, a switchable bandstop filter is presented to switch between two different central frequency states while precisely maintaining a fixed bandwidth, which is achieved by choosing adequate resonator sections which are switched by PIN diodes.
Journal ArticleDOI

Switchable bandpass filter for WiFi-UMTS reception standards

TL;DR: A reconfigurable bandpass filter able to switch between WiFi and UMTS reception standards is presented, and simulated and measured results show excellent agreement.
Journal ArticleDOI

Analog Gross Fault Identification in RF Circuits Using Neural Models and Constrained Parameter Extraction

TL;DR: An artificial neural network (ANN) modeling approach to efficiently emulate the injection of analog faults in RF circuits by applying an optimization-based process using a constrained parameter extraction formulation.