Massive multi-user (MU) multiple-input multiple-output (MIMO) will be a core technology in fifth-generation (5G) wireless systems as it offers significant improvements in spectral efficiency compared to existing multi...
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With recent interest in reversible and quantum computation, research in synthesis of reversible and quantum circuits has increased in momentum. With additional requirements of neighborhood interactions among qubits (w...
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With recent interest in reversible and quantum computation, research in synthesis of reversible and quantum circuits has increased in momentum. With additional requirements of neighborhood interactions among qubits (with two basis states) being a necessity in some physical realizations, several works on obtaining nearest neighbor quantum gate realization by inserting SWAP gates have been reported. These methods are based on two broad optimization approaches, one based on global ordering, where qubits are ordered over the whole netlist, and the other based on local ordering for minimizing SWAP gate insertions on smaller segments of netlists. Further reductions in cost are possible by using multi-valued qudits that have more than two basis states. The present paper considers a quantum circuit based on the NCV library, and proposes a better SWAP gate insertion method based on local ordering that uses an N-gate lookahead approach to reduce cost. Experimental results on benchmark circuits and comparison against published works confirm the benefits of the proposed approach, with improvements over reported works obtained in the range of 27%-43% on the average and 54%-63% in the best case. The method is also scalable for larger circuits, with the longest runtime observed as 10 minutes.
This paper presents the benchmark study of ac and dc active power decoupling (APD) circuits for the second-order harmonic mitigation in kilowatt-scale single-phase inverters. First, a brief comparison of recently repo...
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This paper presents the benchmark study of ac and dc active power decoupling (APD) circuits for the second-order harmonic mitigation in kilowatt-scale single-phase inverters. First, a brief comparison of recently reported APD circuits is given, the best solution that can achieve high efficiency and high-power density is identified and comprehensively studied, and the commercially available film capacitors, the circuit topologies, and the control strategies adopted for APD are all considered. Then, an adaptive decoupling voltage control method is proposed to further improve the performance of dc decoupling in terms of efficiency and reliability. The feasibility and superiority of the identified solution for APD together with the proposed adaptive decoupling voltage control method are finally verified by both the simulation and experimental results obtained on a 2-kW single-phase inverter.
The possibility of terahertz (THz) travelling wave amplification in graphene is demonstrated and analyzed by a hydrodynamic model based on the assumption of having two-dimensional relativistic electron liquid. Based o...
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The possibility of terahertz (THz) travelling wave amplification in graphene is demonstrated and analyzed by a hydrodynamic model based on the assumption of having two-dimensional relativistic electron liquid. Based on this model, the space charge density of electrons is calculated and the electrical conductivity of graphene as a function of frequency and wave vector is obtained. It is demonstrated that in the microwave to THz range of frequencies, the negative conductivity and thus gain can be obtained for drift velocities slightly greater than the phase velocity of the incident electromagnetic wave. This effect is used to introduce a graphene travelling wave amplifier for integrated mm-wave and THz systems. To optimize the gain, efficiency and bandwidth of the proposed travelling-wave amplifier, a slow wave grating structure is designed using Floquet mode analysis.
This paper describes a high temperature voltage comparator and an operational amplifier (op-amp) in a 1.2-mu m silicon carbide (SiC) CMOS process. These circuits are used as building blocks for designing a high-temper...
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This paper describes a high temperature voltage comparator and an operational amplifier (op-amp) in a 1.2-mu m silicon carbide (SiC) CMOS process. These circuits are used as building blocks for designing a high-temperature SiC low-side over current protection circuit. The over current protection circuit is used in the protection circuitry of a SiC FET gate driver in power converter applications. The op-amp and the comparator have been tested at 400 degrees C and 550 degrees C temperature, respectively. The op-amp has an input common-mode range of 0-11.2 V, a dc gain of 60 dB, a unity gain bandwidth of 2.3 MHz, and a phase margin of 48 degrees at 400 degrees C. The comparator has a rise time and a fall time of 38 and 24 ns, respectively, at 550 degrees C. The over current protection circuit, implemented with these analog building blocks, is designed to sense a voltage across a sense resistor up to 0.5 V.
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
Onboard processing systems are becoming very important in remote sensing data processing. However, a main problem with specialized hardware architectures used for onboard processing is their high power consumption, wh...
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Onboard processing systems are becoming very important in remote sensing data processing. However, a main problem with specialized hardware architectures used for onboard processing is their high power consumption, which limits their exploitation in earth observation missions. In this paper, a novel strategy for approximate computing is proposed for reducing energy consumption in remotely sensed onboard processing tasks. As a case study, the implementation of support vector machine (SVM) hyperspectral image classification is considered by using the proposed approximate computing framework. Experimental results show that the proposed approximate computing scheme achieves up to 70% power savings in the kernel accumulation computation procedure with negligible degradation of classification accuracy as compared to the traditional ripple carry adder (RCA) precise computation. This is an important achievement to meet the restrictions of onboard processing scenarios.
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