IEEE Signal Processing Magazine

Volume 35 Issue 3 • May 2018

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  • Front Cover

    Publication Year: 2018, Page(s): C1
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  • GlobalSIP

    Publication Year: 2018, Page(s): C2
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  • Table of Contents

    Publication Year: 2018, Page(s):1 - 2
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  • Masthead

    Publication Year: 2018, Page(s): 2
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  • Introducing the New Editorial Team of IEEE Signaling Processing Magazine [From the Editor]

    Publication Year: 2018, Page(s):4 - 5
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  • Galileo, Fourier, and Openness in Science [President's Message]

    Publication Year: 2018, Page(s):6 - 8
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  • Independence [Humor]

    Publication Year: 2018, Page(s): 9
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  • Women in Signal Processing Committee Highlights [Society News]

    Publication Year: 2018, Page(s): 10
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  • The \"Light\" Side of Signal Processing: Research Teams Work Toward a Signal Processing-Enabled Photonics Future [Special Reports]

    Publication Year: 2018, Page(s):11 - 14
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2200 KB) | HTML iconHTML

    Discusses research conducted at the Massachusetts Institute of Technology (MIT) where engineers and scientists are investigating the possibility of using light rather than wires to provide communication across different parts of a microchip. As the size and speed of many conventional electronics technologies begin reaching their practical limits, a growing number of researchers is turning their at... View full abstract»

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  • Asilomar CFP

    Publication Year: 2018, Page(s): 15
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  • Analog-to-Digital Compression: A New Paradigm for Converting Signals to Bits

    Publication Year: 2018, Page(s):16 - 39
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (5313 KB) | HTML iconHTML

    Processing, storing, and communicating information that originates as an analog signal involves converting this information to bits. This conversion can be described by the combined effect of sampling and quantization, as shown in Figure 1. The digital representation is achieved by first sampling the analog signal to represent it by a set of discretetime samples and then quantizing these samples t... View full abstract»

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  • Sparse Representation for Wireless Communications: A Compressive Sensing Approach

    Publication Year: 2018, Page(s):40 - 58
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2887 KB) | HTML iconHTML

    Sparse representation can efficiently model signals in different applications to facilitate processing. In this article, we will discuss various applications of sparse representation in wireless communications, with a focus on the most recent compressive sensing (CS)-enabled approaches. With the help of the sparsity property, CS is able to enhance the spectrum efficiency (SE) and energy efficiency... View full abstract»

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  • The Promise of Radio Analytics: A Future Paradigm of Wireless Positioning, Tracking, and Sensing

    Publication Year: 2018, Page(s):59 - 80
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (6494 KB) | HTML iconHTML

    With the proliferation of Internet of Things (IoT) applications, billions of household appliances, phones, smart devices, security systems, environment sensors, vehicles, buildings, and other radio-connected devices will transmit data and communicate with each other or people, and it will be possible to constantly measure and track virtually everything. Among the various approaches to measuring wh... View full abstract»

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  • Electroencephalography Source Connectivity: Aiming for High Resolution of Brain Networks in Time and Space

    Publication Year: 2018, Page(s):81 - 96
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4085 KB) | HTML iconHTML

    The human brain is a large-scale network the function of which depends on dynamic interactions between spatially distributed regions. In the rapidly evolving field of network neuroscience, two unresolved challenges hold the promise of potential breakthroughs. First, functional brain networks should be identified using noninvasive and easy-to-use neuroimaging techniques. Second, the time-space reso... View full abstract»

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  • Cognitive Speech Coding: Examining the Impact of Cognitive Speech Processing on Speech Compression

    Publication Year: 2018, Page(s):97 - 109
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3714 KB) | HTML iconHTML

    Speech coding is a field in which compression paradigms have not changed in the last 30 years. Speech signals are most commonly encoded with compression methods that have roots in linear predictive theory dating back to the early 1940s. This article bridges this influential theory with recent cognitive studies applicable in speech communication engineering. It reviews the mechanisms of speech perc... View full abstract»

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  • Bringing Wearable Sensors into the Classroom: A Participatory Approach [SP Education]

    Publication Year: 2018, Page(s):110 - 130
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  • SLT Call for Papers

    Publication Year: 2018, Page(s): 117
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  • A Bayesian Interpretation of Distributed Diffusion Filtering Algorithms [Lecture Notes]

    Publication Year: 2018, Page(s):118 - 123
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1949 KB) | HTML iconHTML

    In this lecture note, we use a Bayesian methodology to formulate the optimal solution to the problem of cooperative tracking of a time-varying signal over a partially connected network of multiple agents, where each agent has sensing, processing, and communication capabilities of its own. Subsequently, assuming a general state-space model for the hidden state vectors and the agents? observations, ... View full abstract»

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  • Converting Infinite Impulse Response Filters to Parallel Form [Tips & Tricks]

    Publication Year: 2018, Page(s):124 - 130
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1016 KB) | HTML iconHTML Multimedia Media

    Discrete-time rational transfer functions are often converted to parallel second-order sections due to better numerical performance compared to direct form infinite impulse response (IIR) implementations. This is usually done by performing partial fraction expansion over the original transfer function. When the order of the numerator polynomial is greater or equal to that of the denominator, polyn... View full abstract»

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  • [Dates Ahead]

    Publication Year: 2018, Page(s): 132
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  • ICASSP 2019

    Publication Year: 2018, Page(s): C3
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Aims & Scope

IEEE Signal Processing Magazine publishes tutorial-style articles on signal processing research and applications, as well as columns and forums on issues of interest. Its coverage ranges from fundamental principles to practical implementation, reflecting the multidimensional facets of interests and concerns of the community. Its mission is to bring up-to-date, emerging and active technical developments, issues, and events to the research, educational, and professional communities. It is also the main Society communication platform addressing important issues concerning all members.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Robert Heath
University of Texas at Austin
United States
http://www.ece.utexas.edu/people/faculty/robert-heath