IEEE Signal Processing Magazine

Issue 1 • Jan. 2013

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Displaying Results 1 - 25 of 30
  • [Front cover]

    Publication Year: 2013, Page(s): C1
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  • Table of contents

    Publication Year: 2013, Page(s): 1
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  • Applications of Signal Processing in Engineering and Beyond [From the Editors]

    Publication Year: 2013, Page(s): 2
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  • Staff listing

    Publication Year: 2013, Page(s): 2
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  • Columns and Forum [From the Editors]

    Publication Year: 2013, Page(s): 4
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  • Outreach via Community Building [President's Message]

    Publication Year: 2013, Page(s): 6
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  • Researchers Push Speech Recognition Toward the Mainstream [Special Reports]

    Publication Year: 2013, Page(s):8 - 11
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (937 KB) | HTML iconHTML

    Reliable and efficient speech recognition has been one of the most elusive technology goals. For decades, people have been waiting for the day when they could toss away keyboards and other interface devices and communicate with computers, phones, and other systems in a way that's as easy and natural as talking to another human being. Speech recognition has a long history, dating back to projects a... View full abstract»

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  • Car Makers See Opportunities in Infotainment, Driver-Assistance Systems [Special Reports]

    Publication Year: 2013, Page(s):11 - 15
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (528 KB) | HTML iconHTML

    The turnaround time for design and development into production for infotainment and driver information systems keeps getting shorter. The entire automotive market is literally racing to bring new tech features to market in its new models. Digital signal processing (DSP) provides obvious opportunities in automotive technology. View full abstract»

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  • New Members-at-Large and Regional Directors-at-Large Named for 2013 [Society News]

    Publication Year: 2013, Page(s):16 - 20
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  • 1st IEEE China Summit and International Conference on Signal and Information Processing

    Publication Year: 2013, Page(s): 21
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  • Top Downloads in IEEE Xplore [Reader's Choice]

    Publication Year: 2013, Page(s):22 - 23
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  • Signal Processing in Large Systems: A New Paradigm

    Publication Year: 2013, Page(s):24 - 39
    Cited by:  Papers (23)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (1965 KB) | HTML iconHTML

    For a long time, detection and parameter estimation methods for signal processing have relied on asymptotic statistics as the number n of observations of a population grows large comparatively to the population size N, i.e., n/N → ∞. Modern technological and societal advances now demand the study of sometimes extremely large populations and simultaneously require fast signal processi... View full abstract»

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  • Scaling Up MIMO: Opportunities and Challenges with Very Large Arrays

    Publication Year: 2013, Page(s):40 - 60
    Cited by:  Papers (1746)  |  Patents (6)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (2030 KB) | HTML iconHTML

    Multiple-input multiple-output (MIMO) technology is maturing and is being incorporated into emerging wireless broadband standards like long-term evolution (LTE) [1]. For example, the LTE standard allows for up to eight antenna ports at the base station. Basically, the more antennas the transmitter/receiver is equipped with, and the more degrees of freedom that the propagation channel can provide, ... View full abstract»

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  • Distributed particle filtering in agent networks: A survey, classification, and comparison

    Publication Year: 2013, Page(s):61 - 81
    Cited by:  Papers (102)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (2717 KB) | HTML iconHTML

    Distributed particle filter (DPF) algorithms are sequential state estimation algorithms that are executed by a set of agents. Some or all of the agents perform local particle filtering and interact with other agents to calculate a global state estimate. DPF algorithms are attractive for large-scale, nonlinear, and non-Gaussian distributed estimation problems that often occur in applications involv... View full abstract»

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  • Encrypted signal processing for privacy protection: Conveying the utility of homomorphic encryption and multiparty computation

    Publication Year: 2013, Page(s):82 - 105
    Cited by:  Papers (78)  |  Patents (5)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (2662 KB) | HTML iconHTML

    In recent years, signal processing applications that deal with user-related data have aroused privacy concerns. For instance, face recognition and personalized recommendations rely on privacy-sensitive information that can be abused if the signal processing is executed on remote servers or in the cloud. In this tutorial article, we introduce the fusion of signal processing and cryptography as an e... View full abstract»

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  • A Tour of Modern Image Filtering: New Insights and Methods, Both Practical and Theoretical

    Publication Year: 2013, Page(s):106 - 128
    Cited by:  Papers (185)  |  Patents (5)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (3362 KB) | HTML iconHTML

    In this article, the author presents a practical and accessible framework to understand some of the basic underpinnings of these methods, with the intention of leading the reader to a broad understanding of how they interrelate. The author also illustrates connections between these techniques and more classical (empirical) Bayesian approaches. The proposed framework is used to arrive at new insigh... View full abstract»

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  • IEEE IVMSP 2013

    Publication Year: 2013, Page(s): 129
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  • Full Quadrant Approximations for the Arctangent Function [Tips and Tricks]

    Publication Year: 2013, Page(s):130 - 135
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (934 KB) | HTML iconHTML

    This article presents two novel full quadrant approximations for the arctangent function that are specially suitable for real-time applications. The key point of the proposed approximations is that they are valid in a full quadrant. As a result, they can be easily extended to two and four quadrants. The approximations we define are rational functions of second and third order, respectively. This a... View full abstract»

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  • Temporal Psychovisual Modulation: A New Paradigm of Information Display [Exploratory DSP]

    Publication Year: 2013, Page(s):136 - 141
    Cited by:  Papers (33)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (1452 KB) | HTML iconHTML

    Information display technologies have played an indispensible role in the advancement of human civilization, from rock carving of prehistoric tribesmen to pervasive use of electronic displays in modern societies. The ever-presence, great variety and continuously increasing sophistication of optoelectronic displays profoundly shape the ways we learn, work, communicate, and how entertain and even ho... View full abstract»

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  • A derivation of the recursive solution to the autocorrelation normal equations [Lecture Notes]

    Publication Year: 2013, Page(s):142 - 144
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (438 KB) | HTML iconHTML

    ACNE plays an important role in many aspects of signal processing and time series analysis. The recursive solution to these equations presented in this article is developed independently of any specific application context and utilizes the basic principles of LTI systems, resulting in the lattice filter structure as a by-product. View full abstract»

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  • 2013 IEEE International Workshop on Multimedia Signal Processing

    Publication Year: 2013, Page(s): 145
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  • Searching for Personality [Social Sciences]

    Publication Year: 2013, Page(s):146 - 158
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (277 KB) | HTML iconHTML

    In this column, the author discuss two approaches to automatic personality prediction. The first approach takes inspiration from human processes of personality attribution, whereby humans deploy knowledge about personality to attribute traits to other people, even those they never met before and even on the basis of very short sequences (down to a few seconds) of expressive behavior (so-called thi... View full abstract»

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  • ICASSP 2014

    Publication Year: 2013, Page(s): 151
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  • High efficiency video coding: the next frontier in video compression [Standards in a Nutshell]

    Publication Year: 2013, Page(s):152 - 158
    Cited by:  Papers (37)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (801 KB) | HTML iconHTML

    High Efficiency Video Coding (HEVC) is a new video compression standard developed jointly by ITU-T Video Coding Experts Group (VCEG) and ISO/IEC Moving Pictures Expert Group (MPEG) through their Joint Collaborative Team on Video Coding (JCT-VC). The first version of HEVC will be finalized by the JCT-VC in January 2013. The HEVC project was launched to achieve major savings-e.g., reduction by about... View full abstract»

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  • Implementation of Network Coding for Social Mobile Clouds [Applications Corner]

    Publication Year: 2013, Page(s):159 - 164
    Cited by:  Papers (21)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (834 KB) | HTML iconHTML

    In this work, the authors advocated for the need of social elements to make egoistic users cooperate with each other in certain situations. After discussing different forms of cooperation (specifically forced, altruistic, technology-enabled, and socially enabled), we introduced a number of example use cases. As discussed, the technology-enabled cooperation will cover a large number of these use ca... View full abstract»

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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