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IEEE Signal Processing Magazine

Issue 4 • July 2017

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Displaying Results 1 - 25 of 27
  • Front Cover

    Publication Year: 2017, Page(s): C1
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  • ICASSP18 Announcement

    Publication Year: 2017, Page(s): C2
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  • Table of Contents

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

    Publication Year: 2017, Page(s): 2
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  • Innovations Powered by Signal Processing [From the Editor]

    Publication Year: 2017, Page(s):3 - 9
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  • Mind the (Gender) Gap [President's Message]

    Publication Year: 2017, Page(s):4 - 5
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  • Top Downloads in IEEE Xplore [Reader's Choice]

    Publication Year: 2017, Page(s):6 - 7
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  • Nominations Open for 2017 IEEE Signal Processing Society Awards [Society News]

    Publication Year: 2017, Page(s):8 - 9
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  • What Do You Consider a \"Successful\" Career? : Perspectives from signal processing-trained professionals [Community Voices]

    Publication Year: 2017, Page(s):10 - 12
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  • Innovative Sensors Promise Longer and Healthier Lives: Signal processing leads to devices that provide faster and more insightful monitoring and diagnoses [Special Reports]

    Publication Year: 2017, Page(s):14 - 17
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  • Membership filler

    Publication Year: 2017, Page(s): 17
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  • Geometric Deep Learning: Going beyond Euclidean data

    Publication Year: 2017, Page(s):18 - 42
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (17899 KB)

    Many scientific fields study data with an underlying structure that is non-Euclidean. Some examples include social networks in computational social sciences, sensor networks in communications, functional networks in brain imaging, regulatory networks in genetics, and meshed surfaces in computer graphics. In many applications, such geometric data are large and complex (in the case of social network... View full abstract»

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  • Optimal Mass Transport: Signal processing and machine-learning applications

    Publication Year: 2017, Page(s):43 - 59
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4737 KB)

    Transport-based techniques for signal and data analysis have recently received increased interest. Given their ability to provide accurate generative models for signal intensities and other data distributions, they have been used in a variety of applications, including content-based retrieval, cancer detection, image superresolution, and statistical machine learning, to name a few, and they have b... View full abstract»

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  • Adaptive Importance Sampling: The past, the present, and the future

    Publication Year: 2017, Page(s):60 - 79
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4144 KB)

    A fundamental problem in signal processing is the estimation of unknown parameters or functions from noisy observations. Important examples include localization of objects in wireless sensor networks [1] and the Internet of Things [2]; multiple source reconstruction from electroencephalograms [3]; estimation of power spectral density for speech enhancement [4]; or inference in genomic signal proce... View full abstract»

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  • Image Aesthetic Assessment: An experimental survey

    Publication Year: 2017, Page(s):80 - 106
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (11054 KB)

    This article reviews recent computer vision techniques used in the assessment of image aesthetic quality. Image aesthetic assessment aims at computationally distinguishing high-quality from low-quality photos based on photographic rules, typically in the form of binary classification or quality scoring. A variety of approaches has been proposed in the literature to try to solve this challenging pr... View full abstract»

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  • Advanced Data Exploitation in Speech Analysis: An overview

    Publication Year: 2017, Page(s):107 - 129
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2767 KB) | HTML iconHTML

    With recent advances in machine-learning techniques for automatic speech analysis (ASA)-the computerized extraction of information from speech signals-there is a greater need for high-quality, diverse, and very large amounts of data. Such data could be game-changing in terms of ASA system accuracy and robustness, enabling the extraction of feature representations or the learning of model parameter... View full abstract»

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  • Driver Modeling for Detection and Assessment of Driver Distraction: Examples from the UTDrive Test Bed

    Publication Year: 2017, Page(s):130 - 142
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3119 KB)

    Vehicle technologies have advanced significantly over the past 20 years, especially with respect to novel in-vehicle systems for route navigation, information access, infotainment, and connected vehicle advancements for vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) connectivity and communications. While there is great interest in migrating to fully automated, self-driving vehicles, ... View full abstract»

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  • Embedded Systems Feel the Beat in New Orleans: Highlights from the IEEE Signal Processing Cup 2017 Student Competition [SP Competitions]

    Publication Year: 2017, Page(s):143 - 170
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  • A Raspberry Pi-Based Platform for Signal Processing Education [SP Education]

    Publication Year: 2017, Page(s):151 - 158
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (849 KB)

    One of the most important application areas of signal processing (SP) is, without a doubt, the software-defined radio (SDR) field [1]-[3]. Although their introduction dates back to the 1980s, SDRs are now becoming the dominant technology in radio communications, thanks to the dramatic development of SP-optimized programmable hardware, such as field-programmable gate arrays (FPGAs) and digital sign... View full abstract»

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  • On \"Flipping\" a Large Signal Processing Class [SP Education]

    Publication Year: 2017, Page(s):158 - 170
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2274 KB) | HTML iconHTML

    Modern academy traces its roots back to the medieval universities established between the 12th and the 14th centuries [1]. Much has changed in the world of academia during the millennium that separates a modern university from a medieval one. View full abstract»

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  • Demystifying Compressive Sensing [Lecture Notes]

    Publication Year: 2017, Page(s):171 - 176
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (335 KB)

    The conventional Nyquist-Shannon sampling theorem has been fundamental to the acquisition of signals for decades, relating a uniform sampling rate to the bandwidth of a signal. However, many signals can be compressed after sampling, implying a high level of redundancy. The theory of compressive sensing/sampling (CS) presents a sampling framework based on the rate of information of a signal and not... View full abstract»

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  • Vertex-Frequency Analysis: A Way to Localize Graph Spectral Components [Lecture Notes]

    Publication Year: 2017, Page(s):176 - 182
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (478 KB)

    Currently, brain and social networks are examples of new data types that are massively acquired and disseminated [1]. These networks typically consist of vertices (nodes) and edges (connections between nodes). Usually, information is conveyed through the strength of connection among nodes, but in recent years, it has been discovered that valuable information may also be conveyed in signals that oc... View full abstract»

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  • Digital Envelope Detection: The Good, the Bad, and the Ugly [Tips and Tricks]

    Publication Year: 2017, Page(s):183 - 187
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2230 KB)

    During a recent consulting job to analyze acoustic telemetry signals transmitted by a deep-sea drill pipe, I was forced to investigate a process called digital envelope detection. This process is used to estimate the instantaneous magnitude of a zero-mean fluctuating-amplitude digital signal. While much tutorial information regarding envelope detection is available, that information is spread out ... View full abstract»

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  • It was Really Lagniappe!: Highlights from ICASSP 2017 in New Orleans [Conference Highlights]

    Publication Year: 2017, Page(s):188 - 191
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  • Calendar [Dates Ahead]

    Publication Year: 2017, Page(s): 192
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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
Min Wu
University of Maryland, College Park
United States
http://www.ece.umd.edu/~minwu/