Photonic active filters based on SiC multilayer structures

2012 ◽  
Vol 1438 ◽  
Author(s):  
M. A. Vieira ◽  
M. Vieira ◽  
P. Louro ◽  
V. Silva ◽  
J. Costa ◽  
...  

ABSTRACTTunable WDM converters based on amorphous SiC multilayer photonic active filters are analyzed. The manipulation of the magnitude is achieved through appropriated front and back backgrounds. Transfer function characteristics are studied. Results show that the light-activated device combines the demultiplexing operation with the simultaneous photodetection and self amplification of an optical signal. Depending on the wavelength of the external background and irradiation side, it acts either as a short- or a long- pass band filter or as a band-stop filter. A combinational logic function is mapped onto an active two stage optoelectronic logic circuit. An algorithm to decode the multiplex signal is established. An optoelectronic model supports the optoelectronic logic architecture.

2012 ◽  
Vol 1426 ◽  
pp. 229-235 ◽  
Author(s):  
M. Vieira ◽  
M. A. Vieira ◽  
P. Louro ◽  
A. Fantoni ◽  
V. Silva ◽  
...  

ABSTRACTStacked layered pin a-SiC/a-Si devices based on a filter design are approached from a reconfigurable point of view. This paper shows that a double SiC/Si pin photodiode can be de-composed into two photonic active filters changeable in function. Reconfiguration is provided by optical control signals to the optoelectronic front and back pin building blocks. Depending on the wavelength and irradiation side of the external optical bias the device acts either as a short- and a long- pass band filter or as a band-stop filter, amplifying or rejecting a specific wavelength range. Particular attention is given to the amplification coefficient weights, which allow taking into account the wavelength background effects. We illustrate these effects in detail and discuss the filters transfer function characteristics. We present examples of filters and we propose a reconfigurable device for directed optical logic. An algorithm to decode the information is presented. An optoelectronic model supports the optoelectronic logic architecture.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Andrea Apicella ◽  
Pasquale Arpaia ◽  
Mirco Frosolone ◽  
Nicola Moccaldi

AbstractA method for EEG-based distraction detection during motor-rehabilitation tasks is proposed. A wireless cap guarantees very high wearability with dry electrodes and a low number of channels. Experimental validation is performed on a dataset from 17 volunteers. Different feature extractions from spatial, temporal, and frequency domain and classification strategies were evaluated. The performances of five supervised classifiers in discriminating between attention on pure movement and with distractors were compared. A k-Nearest Neighbors classifier achieved an accuracy of 92.8 ± 1.6%. In this last case, the feature extraction is based on a custom 12 pass-band Filter-Bank (FB) and the Common Spatial Pattern (CSP) algorithm. In particular, the mean Recall of classification (percentage of true positive in distraction detection) is higher than 92% and allows the therapist or an automated system to know when to stimulate the patient’s attention for enhancing the therapy effectiveness.


2018 ◽  
Vol 47 (7) ◽  
pp. 723002
Author(s):  
张浩 ZHANG Hao ◽  
童元伟 TONG Yuan-wei

2009 ◽  
Vol 74 ◽  
pp. 189-192
Author(s):  
Zhong Liang Deng ◽  
J.M. Huang ◽  
B.H. Ding

An ultra-wideband (UWB) band-stop filter (BSF) has been designed with flat responses at a selected frequency by cascading the unit electromagnetic bandgap (EBG) structures in this paper. The BSFs fabricated by the surface micromachining process have immense potential to compactness and low cost. The BSFs are constructed with comb-like EBG structures on a coplanar-waveguide (CPW) and have been investigated numerically. The simulation result of the BSF is demonstrated to have a good performance on its work band. It reveals a 20 dB stopband with a bandwidth of 6.8GHz. The pass-band insertion loss is less than 1.7dB.


2015 ◽  
Vol 54 (6) ◽  
pp. 1515 ◽  
Author(s):  
Victor Dmitriev ◽  
Clerisson Monte do Nascimento

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