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IEEE Circuits and Systems Magazine

Issue 1 • Firstquarter 2017

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  • Front Cover

    Publication Year: 2017, Page(s): C1
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  • Table of Contents

    Publication Year: 2017, Page(s):1 - 2
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  • Editorial Board

    Publication Year: 2017, Page(s): 2
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  • [From the Editor]

    Publication Year: 2017, Page(s):3 - 4
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  • [President's Message]

    Publication Year: 2017, Page(s):5 - 6
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  • New IEEE Fellows [Recognitions]

    Publication Year: 2017, Page(s):7 - 8
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  • [Society News]

    Publication Year: 2017, Page(s):9 - 11
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  • Why Will Computing Power Need Particular Attention in Future Wireless Devices?

    Publication Year: 2017, Page(s):12 - 26
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2260 KB) | HTML iconHTML

    In this tutorial particular attention is given to the computing power in the physical layer of wireless devices, which are energy and power limited. Communication uses the power in the analog radio frequency parts and computation uses power in the signal processing and other tasks required during communication, both in the transmitter and in the receiver. Example applications include sensor networ... View full abstract»

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  • The kQ Product as Viewed by an Analog Circuit Engineer

    Publication Year: 2017, Page(s):27 - 32
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2029 KB) | HTML iconHTML

    People in the 20th century believed that magnetic induction is due to the coupling coefficient kbetween two coils. Dense flux was supposed to reach only in close proximity. This common-sense interpretation was drastically altered by Kurs et. al. in 2007. They demonstrated a strong power transfer in spite of low k, i.e. at a distance, by enhancing the coil's Q factor. The key index to this success ... View full abstract»

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  • A Primer on Neural Signal Processing

    Publication Year: 2017, Page(s):33 - 50
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3619 KB) | HTML iconHTML

    The role of neural signal processing has become increasingly important in the field of neuroscience with the increase of complexity and scale in neural recordings. In neuroscience, neural signal processing is aimed to extract information from neural signals for the purpose of understanding how the brain represents and transmits information through neuronal ensembles. In neural engineering, neural ... View full abstract»

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Aims & Scope

The magazine covers the subject areas represented by the Society's transactions, including: analog, passive, switch capacitor, and digital filters; electronic circuits, networks, graph theory, and RF communication circuits; system theory; discrete, IC, and VLSI circuit design; multidimensional circuits and systems; large-scale systems and power networks; nonlinear circuits and systems, wavelets, filter banks, and applications; neural networks; and signal processing.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Chi K. Tse
Hong Kong Polytechnic University