A Closed-Form Location Algorithm Without Auxiliary Variables for Moving Target in Noncoherent Multiple-Input and Multiple-Output Radar System
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DOI: 10.1109/access.2020.2984825
Abstract: This paper focuses on the moving target localization and velocity measurement in incoherent centralized multiple-input and multiple-output (MIMO) radar systems with widely separated antennas in 3D space. In this paper, we assume that parameters such… read more here.
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Comments on “On the Design of Chaos-Based S-Boxes”
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DOI: 10.1109/access.2021.3067821
Abstract: In the above article [1], chaos-based S-box design methods are analyzed in order to reassess the nonlinearity of some previous S-box examples. As a result of the analysis, it is concluded that the majority of… read more here.
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Research From the IEEE IBM AI Compute and Emerging Technology Symposia
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Journal on Emerging and Selected Topics in Circuits and Systems"
DOI: 10.1109/jetcas.2019.2938901
Abstract: In recent years, interest in machine learning, deep learning, and more broadly AI has taken the computing industry by storm. Advancements in AI compute acceleration, along with algorithmic innovations and availability of training data, are… read more here.
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Model-Based Polarimetric Decomposition With Higher Order Statistics
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DOI: 10.1109/lgrs.2018.2889682
Abstract: This letter presents a new general framework for solving polarimetric target decompositions that extends them to use more statistical information and include radar texture models. Polarimetric target decomposition methods generally have more physical parameters than… read more here.
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Author’s Reply to the Comments on “Design of A Microstrip Dual-Band Crossover With Asymmetrical $\pi $ -Shaped Transmission Lines”
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Microwave and Wireless Components Letters"
DOI: 10.1109/lmwc.2016.2647381
Abstract: We appreciate the comments by Sinha and De [1] with respect to [2]. The transformation from a quarter- wavelength transmission line to the symmetric-T or - $\pi $ was proposed in [3]. Moreover, the transformation… read more here.
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Computational Aspects of Characteristic Mode Decomposition: An overview
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DOI: 10.1109/map.2021.3127527
Abstract: Nearly all practical applications of the theory of characteristic modes (CMs) involve the use of computational tools. This article is the second in a series of five on CM [1]–[4]. Here, we review the general… read more here.
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Overview of Common-Mode Noise Suppression Techniques: From Reflection to Absorption
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DOI: 10.1109/mmm.2022.3226551
Abstract: Today’s fast-growing wireless communication technology has greatly increased the demand for the transmission of high-quality signals with high data rates. Because of its intrinsic advantages of high immunity to external noise, lower electromagnetic interference, harmonic… read more here.
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A Perspective on the Recent Progress of Graphene in Microwave Applications: Problems, Challenges and Opportunities
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DOI: 10.1109/mmm.2023.3261679
Abstract: Over a decade ago, graphene became a hot topic in academic research, and its outstanding physical properties were measured and reported [1], [2], [3]. At that point, this novel two-dimensional material consisting of an atomic… read more here.
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The Norwegian COVID-19 Tracing App Experiment: Lessons for Governance and Civic Activism
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DOI: 10.1109/mts.2021.3101824
Abstract: The rollout of a host of COVID-19 tracing apps has been described as a global digital experiment. This development has been followed by a proliferation of scholarship, analyzing and assessing the performance of these apps… read more here.
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Credibility of Soft Law for Artificial Intelligence—Planning and Stakeholder Considerations
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DOI: 10.1109/mts.2021.3123737
Abstract: Seeing the CEOs of four of the world’s largest tech companies appear before the U.S. Congress in July 2020 reinforced the idea that regulatory action for these tech giants is coming [1]. But a different… read more here.
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Challenges of Artificial Intelligence Review in a Soft Law Environment
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DOI: 10.1109/mts.2021.3123743
Abstract: If artificial intelligence (AI) lives up to the claims of journalists, futurists, and tech companies, then AI stands to disrupt the landscape of human cognition, social order, and political power. Within a week’s span, AI… read more here.
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