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IEEE Signal Processing Magazine

Issue 2 • Date March 2010

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Displaying Results 1 - 25 of 34
  • [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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  • New Focus, New Challenge [From the Editor]

    Publication Year: 2010, Page(s):2 - 148
    Cited by:  Papers (1)
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  • Society and 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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  • SPS: Forging Ahead with New Innovations for Its Members [President's Message]

    Publication Year: 2010, Page(s): 4
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  • Embedded Systems Conference

    Publication Year: 2010, Page(s): 5
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  • Distinguished Lecturers, Fellows, Awards, and Calls for Nominations [Society News]

    Publication Year: 2010, Page(s):6 - 11
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  • John Wiley & Sons [advertisement]

    Publication Year: 2010, Page(s): 7
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  • SETI-Are We (Still) Alone? [Spotlight Report]

    Publication Year: 2010, Page(s):12 - 142
    Cited by:  Papers (3)
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  • Top Downloads in IEEE Xplore [Reader's Choice]

    Publication Year: 2010, Page(s):16 - 155
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  • Signal Processing on Platforms with Multiple Cores: Part 2-Applications and Design [From the Guest Editors]

    Publication Year: 2010, Page(s):20 - 21
    Cited by:  Papers (1)
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  • Future Software-Defined Radio Platforms and Mapping Flows

    Publication Year: 2010, Page(s):22 - 33
    Cited by:  Papers (24)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (734 KB) | HTML iconHTML

    A software-defined radio (SDR) system is a radio communication system in which physical layer components are implemented on a programmable or reconfigurable platform. The modulation and demodulation is performed in software and thus the radio is able to support a broad ran: of frequencies and functions concurrently. In the ideal SDR transceiver scheme, an analog-to-digital converter (ADC) and a di... View full abstract»

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  • An Advantageous Rotoscoping Method

    Publication Year: 2010, Page(s):34 - 39
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1085 KB) | HTML iconHTML

    In this article, we present a rotoscoping method that takes advantage of ubiquitous multicore processors such as CPUs to assist an artist with the rotoscoping process. We have implemented this rotoscoping method as a plug-in to a commercial compositing application to demonstrate how multicore processors can be applied to practical applications. View full abstract»

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  • MATLAB for Signal Processing on Multiprocessors and Multicores

    Publication Year: 2010, Page(s):40 - 49
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (744 KB) | HTML iconHTML

    MATLAB is a popular choice for algorithm development in signal and image processing. While traditionally done using sequential MATLAB running on desktop systems, in recent years there has been a surge of interest in running MATLAB in parallel to take advantage of multiprocessor and multicore systems. In this article, we discuss three variations of multiprocessor parallel MATLAB, two of which are a... View full abstract»

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  • A Survey of Medical Image Registration on Multicore and the GPU

    Publication Year: 2010, Page(s):50 - 60
    Cited by:  Papers (61)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (463 KB) | HTML iconHTML

    In this article, we look at early, recent, and state-of-the-art methods for registration of medical images using a range of high-performance computing (HPC) architectures including symmetric multiprocessing (SMP), massively multiprocessing (MMP), and architectures with distributed memory (DM), and nonuniform memory access (NUMA). The article is designed to be self-sufficient. We will take the time... View full abstract»

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  • Utilizing Hierarchical Multiprocessing for Medical Image Registration

    Publication Year: 2010, Page(s):61 - 68
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1032 KB) | HTML iconHTML

    This work discusses an approach to utilize hierarchical multiprocessing in the context of medical image registration. By first organizing application parallelism into a domain-specific taxonomy, an algorithm is structured to target a set of multicore platforms.The approach on a cluster of graphics processing units (GPUs) requiring the use of two parallel programming environments to achieve fast ex... View full abstract»

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  • Synthetic Aperture Radar Processing with GPGPU

    Publication Year: 2010, Page(s):69 - 78
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (566 KB) | HTML iconHTML

    This article focuses on methodologies with recurrent use to code examples that try to couple with the flow of the main steps of the SAR processing. The possibility to be comprehensive was prevented by the wide scenario of variations of the focusing algorithm as well as the spread of applications. The reader should look at this work as a sample of possibilities offered by this new technology and a ... View full abstract»

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  • Video Coding on Multicore Graphics Processors

    Publication Year: 2010, Page(s):79 - 89
    Cited by:  Papers (30)  |  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (713 KB) | HTML iconHTML

    In this article, we investigate using multi-core graphics processing units (GPUs) for video encoding and decoding. After an overview of video coding and GPUs, we review some previous work on structuring video coding modules so that the massive parallel processing capability of GPUs can be harnessed. We also review previous work on partitioning the video decoding flow between the central processing... View full abstract»

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  • Audio Sparse Decompositions in Parallel

    Publication Year: 2010, Page(s):90 - 96
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1086 KB) | HTML iconHTML

    Greedy methods are often the only practical way to solve very large sparse approximation problems. Among such methods, matching pursuit (MP) is undoubtedly one of the most widely used, due to its simplicity and relatively low overhead. Since MP works sequentially, however, it is not straightforward to formulate it as a parallel algorithm, to take advantage of multicore platforms for real-time proc... View full abstract»

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  • Image Processing on Multicore x86 Architectures

    Publication Year: 2010, Page(s):97 - 107
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (824 KB) | HTML iconHTML

    As multicore architectures overtake single-core architectures in today's and future compute systems, traditional applications with sequential algorithms can no longer rely on technology scaling to improve performance. Instead, applications must switch to parallel algorithms to take advantage of multicore system performance. Image processing applications exhibit a high degree of parallelism and are... View full abstract»

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  • Building Correlators with Many-Core Hardware

    Publication Year: 2010, Page(s):108 - 117
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1216 KB) | HTML iconHTML

    Radio telescopes typically consist of multiple receivers whose signals are cross-correlated to filter out noise. A recent trend is to correlate in software instead of custom-built hardware, taking advantage of the flexibility that software solutions offer.However, the data rates are usually high and the processing requirements challenging. Many-core processors are promising devices to provide the ... View full abstract»

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  • The Curvelet Transform

    Publication Year: 2010, Page(s):118 - 133
    Cited by:  Papers (108)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (5008 KB) | HTML iconHTML

    Multiresolution methods are deeply related to image processing, biological and computer vision, and scientific computing. The curvelet transform is a multiscale directional transform that allows an almost optimal nonadaptive sparse representation of objects with edges. It has generated increasing interest in the community of applied mathematics and signal processing over the years. In this article... View full abstract»

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  • Multicore Image Processing with OpenMP [Applications Corner]

    Publication Year: 2010, Page(s):134 - 138
    Cited by:  Papers (19)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (550 KB) | HTML iconHTML

    One of the recent innovations in computer engineering has been the development of multicore processors, which are composed of two or more independent cores in a single physical package. Today, many processors, including digital signal processors (DSPs), mobile, graphics, and general-purpose central processing units (CPUs) have a multicore design, driven by the demand of higher performance. Major C... 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
Min Wu
University of Maryland, College Park
United States 

http://www/ece.umd.edu/~minwu/