Designing of stepped impedance Butterworth and Chebyshev filters for wireless communication

Jadhav, Shraddha A.; Misal, S. B.; Mishra, Abhilasha; Murugkar, A. G.

doi:10.1109/aemc.2017.8325764

Cited by 11 publications

(5 citation statements)

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“…In this work, the Butterworth filter is used to obtain the required signals of the user body, since they are easy to handle at many real time applications [ 21 , 22 ]. Then, these obtained signals are used on the artificial neural network.…”

Section: Preliminariesmentioning

confidence: 99%

Design and Implementation of a Prosthesis System Controlled by Electromyographic Signals Means, Characterized with Artificial Neural Networks

et al. 2022

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Around the world many people loss a body member for many reasons, where advances of technology may be useful to help these people to improve the quality of their lives. Then, designing a technologically advanced prosthesis with natural movements is worthy for scientific, commercial, and social reasons. Thus, research of manufacturing, designing, and signal processing may lead up to a low-cost affordable prosthesis. This manuscript presents a low-cost design proposal for an electromyographic electronic system, which is characterized by a neural network based process. Moreover, a hand-type prosthesis is presented and controlled by using the processed electromyographic signals for a required particular use. For this purpose, the user performs several movements by using the healthy-hand to get some electromyographic signals. After that, the obtained signals are processed in a neural network based controller. Once an usable behavior is obtained, an exact replica of controlled motions are adapted for the other hand by using the designed prosthesis. The characterization process of bioelectrical signals was performed by training twenty characteristics obtained from the original raw signal in contrast with other papers in which seven characteristics have been tested on average. The proposed model reached a 95.2% computer test accuracy and 93% accuracy in a real environment experiment. The platform was tested via online and offline, where the best response was obtained in the online execution time.

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Section: Preliminariesmentioning

confidence: 99%

Design and Implementation of a Prosthesis System Controlled by Electromyographic Signals Means, Characterized with Artificial Neural Networks

et al. 2022

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“…Butterworth, Bessel, Chebyshev, and elliptic lters are classical lters that model and govern signal ltering and processing in communications and computing systems [152][153][154]. These fundamental lters are broadly used in applications such as noise reduction, spectral analysis, and signal synthesis [155][156][157][158]. Photonic resonators offer a powerful solution to realize these lters in optical domain [159][160][161].…”

Section: Introductionmentioning

confidence: 99%

Advanced Classical Optical Filters with Three Waveguide Coupled Sagnac Loop Reflectors

Arianfard¹,

Wu²,

Juodkazis³

et al. 2021

Preprint

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We theoretically investigate advanced multi-functional integrated photonic filters formed by three waveguide coupled Sagnac loop reflectors (3WC-SLRs). By tailoring the coherent mode interference, the spectral response of the 3WC-SLR resonators is engineered to achieve diverse filtering functions with high performance. These include optical analogues of Fano resonances that yield ultrahigh spectral extinction ratios (ERs) and slope rates, resonance mode splitting with high ERs and low free spectral ranges, and classical Butterworth, Bessel, Chebyshev, and elliptic filters. A detailed analysis of the impact of the structural parameters and fabrication tolerances is provided to facilitate device design and optimization. The requirements for practical applications are also considered. These results theoretically verify the effectiveness of using 3WC-SLR resonators as multi-functional integrated photonic filters for flexible spectral engineering in diverse applications.

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“…In [1], a compact LPF is proposed with distinguishing features, such as sharp roll-off and low insertion loss. Butterworth and Chebyshev microstrip filters are designed in [2] using stepped-impedance structures. A microstrip LPF with a sharp roll-off using the analytical method is presented in [3].…”

Section: Introductionmentioning

confidence: 99%

Half-Elliptical Resonator Lowpass Filter with a Wide Stopband for Low Band 5G Communication Systems

et al. 2021

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In this paper, a lowpass filter is designed using half elliptical resonators with a wide stopband. New formulas are presented to achieve a circuit model for the half elliptical resonators used in this work. Additionally, the transfer function and transmission zero equations are used to adjust the frequency of the transmission zeros of the filter. The cut-off frequency of the lowpass filter is 1.26 GHz with a sufficiently large stopband, extending from 1.48 GHz to 20 GHz. The proposed filter’s figure of merit is 62,520, demonstrating its outperformance compared to the state of the art. The filter is implemented on a RT-5880 substrate with a constant dielectric of 2.2, thickness of 31 mil and loss tangent of 0.0009. The LPF was fabricated and tested, showing good agreement between the simulated and measured results.

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Designing of stepped impedance Butterworth and Chebyshev filters for wireless communication

Cited by 11 publications

References 1 publication

Design and Implementation of a Prosthesis System Controlled by Electromyographic Signals Means, Characterized with Artificial Neural Networks

Design and Implementation of a Prosthesis System Controlled by Electromyographic Signals Means, Characterized with Artificial Neural Networks

Advanced Classical Optical Filters with Three Waveguide Coupled Sagnac Loop Reflectors

Half-Elliptical Resonator Lowpass Filter with a Wide Stopband for Low Band 5G Communication Systems

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