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Signal Processing Magazine, IEEE

Issue 1 • Date Jan 2004

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Displaying Results 1 - 23 of 23
  • Listen to your data [signal processing applications]

    Publication Year: 2004 , Page(s): 21 - 25
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (283 KB) |  | HTML iconHTML  

    This paper gives emphasis on the importance of testing the performance of signal processing algorithms with real data and learning from the data. The discussion is made primarily within the context of a patient monitoring research. The author suggests six steps on how to test with and learn from real data. These steps are: (1) minimize measurement uncertainty so your physiological phenomenon is co... View full abstract»

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  • New Products

    Publication Year: 2004 , Page(s): 116
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    Freely Available from IEEE
  • Another contender in the arctangent race

    Publication Year: 2004 , Page(s): 109 - 110
    Cited by:  Papers (3)  |  Patents (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (277 KB) |  | HTML iconHTML  

    Fast and accurate methods for computing the arctangent of a complex number x = I + jQ have been the subject of extensive study because estimating the angle θ of a complex value has so many applications in the field of signal processing. Practitioners interested in high-speed arctangent computations typically use look-up tables where the values of I and Q specify an address in read-only memor... View full abstract»

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  • Iterative multiuser detection

    Publication Year: 2004 , Page(s): 81 - 88
    Cited by:  Papers (32)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (648 KB) |  | HTML iconHTML  

    Communication channels that involve both error-control coding and multiple-access signaling are of increasing interest in applications such as cellular telephony, wireless computer networks, and broadband local access. Optimal data detection and decoding in such channels generally require a level of computational complexity that is prohibitive for these types of applications. Turbo multiuser detec... View full abstract»

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  • Structured low-density parity-check codes

    Publication Year: 2004 , Page(s): 42 - 55
    Cited by:  Papers (26)  |  Patents (6)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1227 KB) |  | HTML iconHTML  

    This article describes the different methods to design regular low density parity-check (LDPC) codes with large girth. In graph terms, this corresponds to designing bipartite undirected regular graphs with large girth. Large girth speeds the convergence of iterative decoding and improves the performance at least in the high SNR range, by slowing down the onsetting of the error floor. We reviewed s... View full abstract»

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  • Iterative, soft signal processing for digital communications - From the guest editors

    Publication Year: 2004 , Page(s): 26 - 108
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  • Dates ahead

    Publication Year: 2004 , Page(s): 119
    Cited by:  Papers (1)
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  • Low-density parity check codes for partial response channels

    Publication Year: 2004 , Page(s): 56 - 66
    Cited by:  Papers (13)  |  Patents (6)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (740 KB) |  | HTML iconHTML  

    The goals of this article are twofold: (1) to provide a brief tutorial of the application of low-density parity check (LDPC) codes for partial response (PR) channels under the framework of turbo equalization and (2) to highlight the use of structured LDPC codes in PR systems. We begin by introducing LDPC codes, their graph representations and associated sum-product decoding algorithm, followed by ... View full abstract»

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  • High-tech engineering for high school: it's time!

    Publication Year: 2004 , Page(s): 103 - 108
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | PDF file iconPDF (433 KB) |  | HTML iconHTML  
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  • An introduction to factor graphs

    Publication Year: 2004 , Page(s): 28 - 41
    Cited by:  Papers (198)  |  Patents (6)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (909 KB) |  | HTML iconHTML  

    Graphical models such as factor graphs allow a unified approach to a number of key topics in coding and signal processing such as the iterative decoding of turbo codes, LDPC codes and similar codes, joint decoding, equalization, parameter estimation, hidden-Markov models, Kalman filtering, and recursive least squares. Graphical models can represent complex real-world systems, and such representati... View full abstract»

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  • Advertisers Index - Advertising sales offices

    Publication Year: 2004 , Page(s): 120
    Save to Project icon | Request Permissions | PDF file iconPDF (173 KB)  
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  • Cyclic minimizers, majorization techniques, and the expectation-maximization algorithm: a refresher

    Publication Year: 2004 , Page(s): 112 - 114
    Cited by:  Papers (39)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (250 KB) |  | HTML iconHTML  

    Many parameter estimation problems in signal processing can be reduced to the task of minimizing a function of the unknown parameters. This task is difficult owing to the existence of possibly local minima and the sharpness of the global minimum. In this article we review three approaches that can be used to minimize functions of the type encountered in parameter estimation problems. The first two... View full abstract»

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  • An update to the sliding DFT

    Publication Year: 2004 , Page(s): 110 - 111
    Cited by:  Papers (73)
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  • Iterative timing recovery

    Publication Year: 2004 , Page(s): 89 - 102
    Cited by:  Papers (45)  |  Patents (10)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1635 KB) |  | HTML iconHTML  

    The last decade has seen the development of iteratively decodable error-control codes of unprecedented power, whose large coding gains enable reliable communication at very low signal-to-noise ratio (SNR). A by-product of this trend is that timing recovery must be performed at an SNR lower than ever before. Conventional timing recovery ignores the presence or error-control coding and thus doomed t... View full abstract»

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  • Society News

    Publication Year: 2004 , Page(s): 10 - 25
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  • Turbo equalization

    Publication Year: 2004 , Page(s): 67 - 80
    Cited by:  Papers (172)  |  Patents (16)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (921 KB) |  | HTML iconHTML  

    Turbo equalization is an iterative equalization and decoding technique that can achieve equally impressive performance gains for communication systems that send digital data over channels that require equalization, i.e., those that suffer from intersymbol interference (ISI). In this article, we discuss the turbo equalization approach to coded data transmission over ISI channels, with emphasis on t... View full abstract»

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  • Leadership-some random thoughts

    Publication Year: 2004 , Page(s): 16 - 20
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  • IEEE Signal Processing Magazine

    Publication Year: 2004 , Page(s): 0_1
    Save to Project icon | Request Permissions | PDF file iconPDF (406 KB)  
    Freely Available from IEEE
  • Table of contents

    Publication Year: 2004 , Page(s): 1
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    Freely Available from IEEE
  • Capture the Evolution - From the Editor

    Publication Year: 2004 , Page(s): 2
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    Freely Available from IEEE
  • An Introduction - President's message

    Publication Year: 2004 , Page(s): 4 - 5
    Save to Project icon | Request Permissions | PDF file iconPDF (70 KB) |  | HTML iconHTML  
    Freely Available from IEEE
  • How to get involved with your society - Past President's message

    Publication Year: 2004 , Page(s): 6 - 8
    Save to Project icon | Request Permissions | PDF file iconPDF (71 KB) |  | HTML iconHTML  
    Freely Available from IEEE
  • Bylaw changes

    Publication Year: 2004 , Page(s): 13 - 15
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    Freely Available from IEEE

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/