IEEE Signal Processing Magazine

Issue 3 • May 2010

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Displaying Results 1 - 25 of 38
  • [Front cover]

    Publication Year: 2010, Page(s): C1
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  • Mini Circuits - [advertisement]

    Publication Year: 2010, Page(s): C2
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  • Table of contents

    Publication Year: 2010, Page(s): 1
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  • From Admiration, Celebration, and Guessing to Innovation [From the Editor]

    Publication Year: 2010, Page(s):2 - 18
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  • Staff listing

    Publication Year: 2010, Page(s): 2
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  • Mini Circuits - [advertisement]

    Publication Year: 2010, Page(s): 3
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  • Capturing the Breadth of Our Activities [President's Message]

    Publication Year: 2010, Page(s): 4
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  • IEEE Marketing Department

    Publication Year: 2010, Page(s): 5
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  • DSPs Evolving in Consumer Electronics Applications [Special Reports]

    Publication Year: 2010, Page(s):6 - 10
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1363 KB) | HTML iconHTML

    You would be hard pressed to find a consumer electronic product that doesn't require digital signal processing. Consumer electronics is a big market-about US$165 billion this year (see "What About Consumer Electronics Market Growth and Innovation?"), and the requirement for digital signal processors (DSPs) just keeps growing with the introduction of new, innovative products. The requirement for DS... View full abstract»

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  • IEEE Member Digital Library [advertisement]

    Publication Year: 2010, Page(s): 9
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  • Asilomar Conference

    Publication Year: 2010, Page(s): 11
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  • Top Downloads in IEEE Xplore [Readers Choice]

    Publication Year: 2010, Page(s):12 - 18
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  • EDERC2010 [advertisement]

    Publication Year: 2010, Page(s): 17
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  • Convex Optimization in Signal Processing [From the Guest Editors]

    Publication Year: 2010, Page(s):19 - 145
    Cited by:  Papers (2)
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  • Semidefinite Relaxation of Quadratic Optimization Problems

    Publication Year: 2010, Page(s):20 - 34
    Cited by:  Papers (710)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1826 KB) | HTML iconHTML

    In this article, we have provided general, comprehensive coverage of the SDR technique, from its practical deployments and scope of applicability to key theoretical results. We have also showcased several representative applications, namely MIMO detection, B¿ shimming in MRI, and sensor network localization. Another important application, namely downlink transmit beamforming, is described in [1].... View full abstract»

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  • Convex Optimization, Game Theory, and Variational Inequality Theory

    Publication Year: 2010, Page(s):35 - 49
    Cited by:  Papers (83)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1274 KB) | HTML iconHTML

    In this article, we have provided a unified view of some basic theoretical foundations and main techniques in convex optimization, game theory, and VI theory. We put special emphasis on the generality of the VI framework, showing how it allows to tackle several interesting problems in nonlinear analysis, classical optimization, and equilibrium programming. In particular, we showed the relevance of... View full abstract»

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  • Real-Time Convex Optimization in Signal Processing

    Publication Year: 2010, Page(s):50 - 61
    Cited by:  Papers (100)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1513 KB) | HTML iconHTML

    This article shows the potential for convex optimization methods to be much more widely used in signal processing. In particular, automatic code generation makes it easier to create convex optimization solvers that are made much faster by being designed for a specific problem family. The disciplined convex programming framework that has been shown useful in transforming problems to a standard form... View full abstract»

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  • Convex Optimization-Based Beamforming

    Publication Year: 2010, Page(s):62 - 75
    Cited by:  Papers (209)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (898 KB) | HTML iconHTML

    In this article, an overview of advanced convex optimization approaches to multisensor beamforming is presented, and connections are drawn between different types of optimization-based beamformers that apply to a broad class of receive, transmit, and network beamformer design problems. It is demonstrated that convex optimization provides an indispensable set of tools for beamforming, enabling rigo... View full abstract»

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  • L1-L2 Optimization in Signal and Image Processing

    Publication Year: 2010, Page(s):76 - 88
    Cited by:  Papers (204)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1330 KB) | HTML iconHTML

    Sparse, redundant representations offer a powerful emerging model for signals. This model approximates a data source as a linear combination of few atoms from a prespecified and over-complete dictionary. Often such models are fit to data by solving mixed ¿1-¿2 convex optimization problems. Iterative-shrinkage algorithms constitute a new family of highly effective numerical ... View full abstract»

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  • Enriching the Art of FIR Filter Design via Convex Optimization

    Publication Year: 2010, Page(s):89 - 101
    Cited by:  Papers (22)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (970 KB) | HTML iconHTML

    The effective design of FIR filters requires judicious compromises to be made between competing properties of the filter. As we have argued herein, when those properties lie in a rich class of design criteria that are convex in the design variables, the inherent tradeoffs between these properties, and filters that attain these tradeoffs, can be reliably obtained. Furthermore, some recently develop... View full abstract»

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  • Dynamic Resource Allocation in Cognitive Radio Networks

    Publication Year: 2010, Page(s):102 - 114
    Cited by:  Papers (164)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (880 KB) | HTML iconHTML

    This article provides an overview of the state-of-art results on communication resource allocation over space, time, and frequency for emerging cognitive radio (CR) wireless networks. Focusing on the interference-power/interference-temperature (IT) constraint approach for CRs to protect primary radio transmissions, many new and challenging problems regarding the design of CR systems are formulated... View full abstract»

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  • Parameter Estimation of Statistical Models Using Convex Optimization

    Publication Year: 2010, Page(s):115 - 127
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (955 KB) | HTML iconHTML

    Discriminative learning methods have achieved many successes in speech and language processing during the past decades. Discriminative learning of generative models is a typical optimization problem, where efficient optimization methods play a critical role. For many widely used statistical models, discriminative learning normally leads to nonconvex optimization problems. In this article we used t... View full abstract»

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  • Cognitive User Interfaces

    Publication Year: 2010, Page(s):128 - 140
    Cited by:  Papers (10)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2326 KB) | HTML iconHTML

    This article argues that future generations of computer-based systems will need cognitive user interfaces to achieve sufficiently robust and intelligent human interaction. These cognitive user interfaces will be characterized by the ability to support inference and reasoning, planning under uncertainty, short-term adaptation, and long-term learning from experience. An appropriate engineering frame... View full abstract»

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  • Parametric Representation of Speech Signals [DSP History]

    Publication Year: 2010, Page(s):141 - 145
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (531 KB) | HTML iconHTML

    This article presents a condensed summary of the Marconi presentation, devoted to parametric representation of speech signals. Regarding the future of speech coding. It is shown that "The future is certain to prove interesting!". View full abstract»

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  • Convex Optimizations for Distance Metric Learning and Pattern Classification [Applications Corner]

    Publication Year: 2010, Page(s):146 - 158
    Cited by:  Papers (16)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (603 KB) | HTML iconHTML

    The goal of machine learning is to build automated systems that can classify and recognize complex patterns in data. The representation of the data plays an important role in determining what types of patterns can be automatically discovered. Many algorithms for machine learning assume that the data are represented as elements in a metric space. The performance of these algorithms can depend sensi... 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