The field of machine learning (ML) is growing at a break-neck pace. As ML models increasingly demand real-time performance, energy efficiency, and high throughput, researchers look to customized computing architecture...
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Fractional order algorithms have shown promising results in various signal processing applications due to their ability to improve performance without significantly increasing *** goal of this work is to inves-tigate ...
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Fractional order algorithms have shown promising results in various signal processing applications due to their ability to improve performance without significantly increasing *** goal of this work is to inves-tigate the use of fractional order algorithm in the field of adaptive beam-forming,with a focus on improving performance while keeping complexity *** effectiveness of the algorithm will be studied and evaluated in this *** this paper,a fractional order least mean square(FLMS)algorithm is proposed for adaptive beamforming in wireless applications for effective utilization of *** algorithm aims to improve upon existing beam-forming algorithms,which are inefficient in performance,by offering faster convergence,better accuracy,and comparable computational *** FLMS algorithm uses fractional order gradient in addition to the standard ordered gradient in weight *** derivation of the algorithm is provided and supported by mathematical convergence *** is evaluated through simulations using mean square error(MSE)minimization as a metric and compared with the standard LMS algorithm for various *** results,obtained through Matlab simulations,show that the FLMS algorithm outperforms the standard LMS in terms of convergence speed,beampattern accuracy and scatter *** outperforms LMS in terms of convergence speed by 34%.From this,it can be concluded that FLMS is a better candidate for adaptive beamforming and other signal processing applications.
This paper proposes a novel line voltage-derived formulation to reduce and eliminate third-order harmonics due to uncertainty in DC link voltages of cascaded H -Bridge (CHB) inverters. These converters produce third-o...
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Aircraft electric green taxiing systems are predicted to allow commercial aviation to achieve sustainable and economical operations. The United States's Next Generation Air Transportation System (NextGen) requires...
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The growing prevalence of electric vehicles (EVs) and the installation of charging infrastructure in public parking lots(PL) present an opportunity to utilize EV batteries for participation in electricity markets. In ...
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The paper proposes an innovative strategy for adaptive control allocation for redundant actuators in the presence of uncertainties. We introduce a novel reconfiguration control scheme designed for aircraft experiencin...
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As the self-driving technology is getting mature for public transportation applications, the safety concern of onboard passengers has become an important issue. It is essential to identify inappropriate or hazardous b...
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Autism Spectrum Disorder (ASD) is a neurodevelopmental condition marked by challenges in communication, heightened sensitivity to sensory input, difficulties in adapting to change, and atypical patterns of play. Since...
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Data centers consume a lot of electricity for continued operation and pose a significant challenge to realizing energy security. This has led to the need for data center operators to develop their own power sources an...
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In the automation and robotics industry, there is an increasing interest in the magnetization properties of intelligent materials, such as magnetorheological fluids (MR fluids). The article discusses the method of obt...
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