scholarly journals Mobile Iris Recognition System Based on the Near Infrared Light Illuminator of Long Wavelength and Band Pass Filter and Performance Evaluations

2011 ◽  
Vol 14 (9) ◽  
pp. 1125-1137
Author(s):  
So-Ra Cho ◽  
Gi-Pyo Nam ◽  
Dae-Sik Jeong ◽  
Kwang-Yong Shin ◽  
Kang-Ryoung Park ◽  
...  
Keyword(s):  
Iris Recognition ◽  
Near Infrared ◽  
Recognition System ◽  
Performance Evaluations ◽  
Infrared Light ◽  
Band Pass Filter ◽  
Pass Filter ◽  
Long Wavelength ◽  
Band Pass ◽  
And Performance

The energy separation effect based on the disk resonance multichannel MIM waveguide

2016 ◽  
Vol 30 (28) ◽  
pp. 1650344
Author(s):  
Liu Wang ◽  
Ya-Ping Zeng ◽  
Zhi-Yong Wang ◽  
Xiong-Ping Xia ◽  
Qiu-Qun Liang
Keyword(s):  
Near Infrared ◽  
Fdtd Method ◽  
Output Port ◽  
Infrared Light ◽  
Energy Separation ◽  
Band Pass Filter ◽  
Separation Function ◽  
Pass Filter ◽  
Metal Insulator Metal ◽  
Mim Waveguide

In this paper, a multichannel metal–insulator–metal (MIM) waveguide structure based on a disk resonator is proposed. The transmission characteristics of visible and near-infrared light in the waveguide are investigated by using the finite-difference time-domain (FDTD) method. The results show that the structure has typical band-pass filter function due to the wave resonance in the nanodisk. The energy of the second-order resonance wavelength of the disk can transmit through each output port averagely, which is realized by the energy separation function of the electromagnetic wave. Moreover, the wavelength will transmit through the output port in redshift as the radius and/or the refractive index of the disk are increased. The transmissivity is sharply reduced with the increase of the coupling thickness between the disk and the output port waveguide.

scholarly journals Realization of fractional band pass filter on reconfigurable analog device

2021 ◽  
Vol 13 (1) ◽  
pp. 63-69
Author(s):  
Sunil Narayan ◽  
Utkal Mehta ◽  
Rıta Iro ◽  
Hılda Sıkwa'ae ◽  
Kajal Kothari ◽  
...  
Keyword(s):  
Fractional Order ◽  
Second Order ◽  
Band Pass Filter ◽  
Analog Device ◽  
Pass Filter ◽  
Modified Particle Swarm Optimization ◽  
Field Programmable ◽  
Real Positive Number ◽  
Band Pass ◽  
And Performance

Abstract This paper presents a realization of fractional-order Band pass-filter (FOBF) based on the concepts of fractional order inductors and fractional order capacitors. The FOBF is designed and implemented using both simulation and hardware approaches. The proposed filter order is considered up to second order or less with any real positive number. One of the cases is considered when α ≤ 1 and β ≥ 1. In the second case, the filter is designed when β ≤ 1 and α ≥ 1. In order to calculate the optimal filter parameters, the modified Particle Swarm Optimization (mPSO) algorithm has been utilized for coefficient tuning. Also, a generalized approach to design any second order FOBF is discussed in this work. The realization and performance assessment have been carried out in simulation environment as well as in lab experiment with field programmable analog array (FPAA) development board. The experimental results indicate the value of efforts to realize the fractional filter.

Multi-Wideband Band Pass Filter Using Quad Cross-Stub Stepped Impedance Resonator

2020 ◽  
Vol 17 (7) ◽  
pp. 3184-3189
Author(s):  
Yus Rama Denny ◽  
Teguh Firmansyah ◽  
Yayat Ruhiat ◽  
Herudin ◽  
Cindy Chairunissa ◽  
...  
Keyword(s):  
Size Reduction ◽  
Superior Performance ◽  
Band Pass Filter ◽  
Experimental Conditions ◽  
Pass Filter ◽  
Transmission Coefficients ◽  
Band Pass ◽  
Stepped Impedance Resonator ◽  
And Performance ◽  
Tan Δ

This simulation study involved the use of a QC-SSIR (quad cross-tub stepped impedance resonator) to examine the behavior and performance of the MW-BPF (multi-wideband band pass filter). To evaluate the performance of the proposed model, it was compared to the case of the conventional resonator. In the results, MW-BPF was found o exhibit a superior performance in terms of the ease of fabrication, good transmission coefficients, and a wider fractional bandwidth. For the filter structure analysis, this study incorporated the ABCD matrix, with the design of the MW-BPF also based on the FR4 microstrip. The experimental conditions and parameters were set in such a way that for the substrate, tan δ = 0.0265, thickness = 1.6 mm, and εr = 4.4, and thickness h = 1.6 mm. at 2.58 GHz, 1.71 GHz, and 0.81 GHz, the proposed QC-SSIR-based MW-BPF achieved transmission coefficients/fractional bandwidths of 1.93 dB/13.9%, 1.49 dB/18.7%, and 0.60 dB/49.3%, respectively. Relative to the filter size reduction, the FQC-SSIR (folded quad cross-tub impedance resonator) was incorporated. The resultant observations indicated a possibility of BPF size reduction up to 46%. Also, the proposed framework was found to yield (at 2.62, 1.80, and 0.82 GHz) 1.76 dB/12.5%, 1.21 dB/17.7%, and 0.57 dB/49.6% transmission coefficient/fractional bandwidths, respectively. It is also worth indicating that the filter employed LTE2600, WCDMA1800, and GSM800. Therefore, the model exhibited a good agreement, which was depicted by the comparison outcomes between the measured values and the simulated values. Hence, the proposed design was found to be valid and reliable.

Brain Activity Monitoring System Based on EEG-NIRS Measurement System

2017 ◽  
Vol 870 ◽  
pp. 351-356
Author(s):  
Ya Wen Tang ◽  
Yue Der Lin
Keyword(s):  
Data Collection ◽  
Measurement System ◽  
Optical Sensors ◽  
Near Infrared ◽  
Brain Activity ◽  
Band Pass Filter ◽  
Pass Filter ◽  
Band Pass ◽  
Nirs Signal ◽  
The Brain

Recently, near infrared spectroscopy (NIRS) is widely applied on brain activation energy monitoring and adopted in clinical experiments. The advantages of NIRS are its non-invasive measurement and lower electrical disturbances. To verify the covariance and correlation of electroencephalography (EEG) and NIRS, an EEG-NIRS measurement system is implemented for data collection. The EEG and NIRS signals are recorded by common EEG electrodes and specific wavelength optical sensors. The EEG and NIRS sensors are placed with staggered placement to keep the same space resolution. EEG signal is processed with an instrument amplify, a band-pass filter circuit and variable gain amplifier, sequentially. The red light and near infrared light generated by LEDs are projected onto the tissues. Base on the blood oxygen-level dependence, the reflected photons can transfer the information of brain oxygen concentration. The NIRS signal acquired by two optical sensors is converted to voltage and filtered by a band-pass filter. In this measurement system, time-division multiplexing technique is applied on NIRS data collection to get the concentration of oxygenated hemoglobin and deoxy-hemoglobin. So, light sources and optical detectors are controlled by a signal processor. The post process data is digitalized and transferred to personal computer for brain activity estimation. The brain activity is extracted from the EEG and NIRS signal, individually. In this experiment, the EEG and NIRS signals are checked and analyzed. Although two kinds of brain activation indexes are resulted by different signal transfer path, the consistence response approves that the NIRS can be considered to monitor the brain activity. The easily setup of NIRS measurement can bring us more freedom of brain information extraction.

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