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Signal Processing Magazine, IEEE

Issue 3 • Date May 2009

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Displaying Results 1 - 18 of 18
  • IEEE Signal Processing Magazine - Front cover

    Publication Year: 2009 , Page(s): C1
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    Freely Available from IEEE
  • Table of contents

    Publication Year: 2009 , Page(s): 1
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    Freely Available from IEEE
  • Curiosity in Science and Technology [From the Editor]

    Publication Year: 2009 , Page(s): 2 - 5
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    Freely Available from IEEE
  • A New Point of View [President's Message]

    Publication Year: 2009 , Page(s): 6
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    Freely Available from IEEE
  • SPS Congratulates Awardees [Society News]

    Publication Year: 2009 , Page(s): 8 - 9
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  • Curious Science

    Publication Year: 2009 , Page(s): 10 - 36
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (10741 KB) |  | HTML iconHTML  

    The fame of Bell Labs still endures even though the organization has now, under telecom divestiture and company divisions, declined to a shadow of its former self. Its fame stems largely from the memory and recognition of the remarkable contributions to global communications and U.S. national welfare it made during its heyday. View full abstract»

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  • Reproducible research in signal processing

    Publication Year: 2009 , Page(s): 37 - 47
    Cited by:  Papers (43)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1923 KB) |  | HTML iconHTML  

    What should we do to raise the quality of signal processing publications to an even higher level? We believe it to be crucial to maintain the precision in describing our work in publications, ensured through a high-quality reviewing process. We also believe that if the experiments are performed on a large data set, the algorithm is compared to the state-of-the-art methods, the code and/or data are well documented and available online, we will all benefit and make it easier to build upon each other's work. It is a clear win-win situation for our community: we will have access to more and more algorithms and can spend time inventing new things rather than recreating existing ones. View full abstract»

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  • Beyond bandlimited sampling

    Publication Year: 2009 , Page(s): 48 - 68
    Cited by:  Papers (36)  |  Patents (3)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (3260 KB)  

    Digital applications have developed rapidly over the last few decades. Since many sources of information are of analog or continuous-time nature, discrete-time signal processing (DSP) inherently relies on sampling a continuous-time signal to obtain a discrete-time representation. Consequently, sampling theories lie at the heart of signal processing devices and communication systems. Examples include sampling rate conversion for software radio and between audio formats, biomedical imaging, lens distortion correction and the formation of image mosaics, and super-resolution of image sequences. View full abstract»

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  • Speech Accent Profiles: Modeling and Synthesis [Applications Corner]

    Publication Year: 2009 , Page(s): 69 - 74
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (333 KB) |  | HTML iconHTML  

    This article provides a brief introduction to speech accents and introduces a set of statistical signal processing methods for the modeling, analysis, synthesis, and morphing of English language accents. Accent morphing is the changing of the accent of a speech to a different accent, for example, from British to American. View full abstract»

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  • Developments and directions in speech recognition and understanding, Part 1 [DSP Education]

    Publication Year: 2009 , Page(s): 75 - 80
    Cited by:  Papers (14)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (92 KB) |  | HTML iconHTML  

    To advance research, it is important to identify promising future research directions, especially those that have not been adequately pursued or funded in the past. The working group producing this article was charged to elicit from the human language technology (HLT) community a set of well-considered directions or rich areas for future research that could lead to major paradigm shifts in the field of automatic speech recognition (ASR) and understanding. ASR has been an area of great interest and activity to the signal processing and HLT communities over the past several decades. As a first step, this group reviewed major developments in the field and the circumstances that led to their success and then focused on areas it deemed especially fertile for future research. Part 1 of this article will focus on historically significant developments in the ASR area, including several major research efforts that were guided by different funding agencies, and suggest general areas in which to focus research. View full abstract»

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  • Enhanced-Convergence Normalized LMS Algorithm[DSP Tips & Tricks]

    Publication Year: 2009 , Page(s): 81 - 95
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (876 KB) |  | HTML iconHTML  

    Least mean square (LMS) algorithms have found great utility in many adaptive filtering applications. This article shows how the traditional constraints placed on the update gain of normalized LMS algorithms are overly restrictive. We present relaxed update gain constraints that significantly improve normalized LMS algorithm convergence speed. View full abstract»

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  • Signal processing: A view of the future, Part 2 [Exploratory DSP]

    Publication Year: 2009 , Page(s): 83 - 86
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (180 KB) |  | HTML iconHTML  

    The intent of the author in this column and its predecessor, published in the March 2009 issue of IEEE Signal Processing Magazine, was to produce a behavioral model for the field of signal processing and then use that model to predict the field's future. With the arc of the field thus estimated, coherent recommendations could then be made about how we might best work together to maximize its potential and achieve the positive societal outcomes it can produce. View full abstract»

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  • Speech-recognition technology in health care and special-needs assistance [Life Sciences]

    Publication Year: 2009 , Page(s): 87 - 90
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (285 KB) |  | HTML iconHTML  

    This article provides an overview of speech-recognition applications currently in use or under development for health care and special-needs assistance; they pertain to the transcribing of medical reports, closed-captioning, conversational systems, and command and control. View full abstract»

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  • MIMO Detection Methods: How They Work [Lecture Notes]

    Publication Year: 2009 , Page(s): 91 - 95
    Cited by:  Papers (30)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (739 KB) |  | HTML iconHTML  

    The goal of this lecture has been to provide an overview of approaches, in the communications receiver context. Which method is the best in practice? This depends much on the purpose of solving : what error rate can be tolerated, what is the ultimate measure of performance (e.g., frame-error-rate, worst-case complexity, or average complexity), and what computational platform is used. Additionally, the bits in s may be part of a larger code word and different s vectors in that code word may either see the same H (slow fading) or many different realizations of H (fast fading). This complicates the picture, because notions that are important in slow fading (such as spatial diversity) are less important in fast fading, where diversity is provided anyway by time variations. Detection for MIMO has been an active field for more than ten years, and this research will probably continue for some time. View full abstract»

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  • VQeg validation and ITU standardization of objective perceptual video quality metrics [Standards in a Nutshell]

    Publication Year: 2009 , Page(s): 96 - 101
    Cited by:  Papers (7)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (255 KB) |  | HTML iconHTML  

    For industry, the need to access accurate and reliable objective video metrics has become more pressing with the advent of new video applications and services such as mobile broadcasting, Internet video, and Internet Protocol television (IPTV). Industry-class objective quality- measurement models have a wide range of uses, including equipment testing (e.g., codec evaluation), transmission- planning and network-dimensioning tasks, head-end quality assurance, in- service network monitoring, and client-based quality measurement. The Video Quality Experts Group (VQEG) is the primary forum for validation testing of objective perceptual quality models. The work of VQEG has resulted in International Telecommunication Union (ITU) standardization of objective quality models designed for standard- definition television and for multimedia applications. This article reviews VQEG's work, paying particular attention to the group's approach to validation testing. View full abstract»

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  • Fundamentals of Radar Signal Processing (Richards, M.A.; 2005) [Book review]

    Publication Year: 2009 , Page(s): 100 - 101
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    Freely Available from IEEE
  • Techware: Speech recognition software and resources on the web [Best of the Web]

    Publication Year: 2009 , Page(s): 102 - 105
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1843 KB) |  | HTML iconHTML  

    In this issue, "Best of the Web" presents online resources available to tackle the problem of speech recognition. Automatic speech recognition turns spoken audio into a sequence of words. It is an extraordinarily broad and multidisciplinary field, drawing primarily from statistical signal processing, machine learning, and linguistics. Although speech-recognition-oriented applications are essential to the success of the technology and its acceptance in the marketplace, we have excluded them from the scope of this article. We will focus instead on resources that are useful for a beginning apprentice to build the technology that will turn sounds into words. View full abstract»

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  • The U.S. Digital Television Broadcasting Transition [In the Spotlight]

    Publication Year: 2009 , Page(s): 112 - 110
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    This paper discusses the transition of United States into a completely digital TV broadcasting system. 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.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Min Wu
University of Maryland, College Park
United States 

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