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Proceedings of the IEEE

Issue 6 • June 2007

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  • [Front cover]

    Publication Year: 2007, Page(s): C1
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  • Proceedings of the IEEE publication information

    Publication Year: 2007, Page(s): C2
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  • Table of contents

    Publication Year: 2007, Page(s):1141 - 1142
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  • Television in 3-D: What Are the Prospects?

    Publication Year: 2007, Page(s):1143 - 1145
    Cited by:  Papers (37)
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  • Special Issue on Turbo-Information Processing: Algorithms, Implementations & Applications

    Publication Year: 2007, Page(s):1146 - 1149
    Cited by:  Papers (7)
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  • Channel coding: The road to channel capacity

    Publication Year: 2007, Page(s):1150 - 1177
    Cited by:  Papers (97)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1029 KB) | HTML iconHTML

    Starting from Shannon's celebrated 1948 channel coding theorem, we trace the evolution of channel coding from Hamming codes to capacity-approaching codes. We focus on the contributions that have led to the most significant improvements in performance versus complexity for practical applications, particularly on the additive white Gaussian noise channel. We discuss algebraic block codes, and why th... View full abstract»

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  • Turbo Decoding and Detection for Wireless Applications

    Publication Year: 2007, Page(s):1178 - 1200
    Cited by:  Papers (20)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (670 KB) | HTML iconHTML

    A historical perspective of turbo coding and turbo transceivers inspired by the generic turbo principles is provided, as it evolved from Shannon's visionary predictions. More specifically, we commence by discussing the turbo principles, which have been shown to be capable of performing close to Shannon's capacity limit. We continue by reviewing the classic maximum a posteriori probability decoder.... View full abstract»

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  • Iterative Decoding of Concatenated Convolutional Codes: Implementation Issues

    Publication Year: 2007, Page(s):1201 - 1227
    Cited by:  Papers (36)  |  Patents (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1875 KB) | HTML iconHTML

    This tutorial paper gives an overview of the implementation aspects related to turbo decoders, where the term turbo generally refers to iterative decoders intended for parallel concatenated convolutional codes as well as for serial concatenated convolutional codes. We start by considering the general structure of iterative decoders and the main features of the soft-input soft-output algorithm that... View full abstract»

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  • Turbo and Turbo-Like Codes: Principles and Applications in Telecommunications

    Publication Year: 2007, Page(s):1228 - 1254
    Cited by:  Papers (15)  |  Patents (26)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2784 KB) | HTML iconHTML

    For decades, the de facto standard for forward error correction was a convolutional code decoded with the Viterbi algorithm, often concatenated with another code (e.g., a Reed-Solomon code). But since the introduction of turbo codes in 1993, much more powerful codes referred to collectively as turbo and turbo-like codes have eclipsed classical methods. These powerful error-correcting techniques ac... View full abstract»

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  • Code-Aided Turbo Synchronization

    Publication Year: 2007, Page(s):1255 - 1271
    Cited by:  Papers (56)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1178 KB) | HTML iconHTML

    The introduction of turbo and low-density parity-check (LDPC) codes with iterative decoding that almost attain Shannon capacity challenges the synchronization subsystems of a data modem. Fast and accurate signal synchronization has to be performed at a much lower value of signal-to-noise ratio (SNR) than in previous less efficiently coded systems. The solution to this issue is developing specific ... View full abstract»

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  • Iterative Detection for Channels With Memory

    Publication Year: 2007, Page(s):1272 - 1294
    Cited by:  Papers (15)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (735 KB) | HTML iconHTML

    In this paper, we present an overview on the design of algorithms for iterative detection over channels with memory. The starting point for all the algorithms is the implementation of soft-input soft-ouput maximum a posteriori (MAP) symbol detection strategies for transmissions over channels encompassing unknown parameters, either stochastic or deterministic. The proposed solutions represent effec... View full abstract»

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  • The Factor Graph Approach to Model-Based Signal Processing

    Publication Year: 2007, Page(s):1295 - 1322
    Cited by:  Papers (144)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1359 KB) | HTML iconHTML

    The message-passing approach to model-based signal processing is developed with a focus on Gaussian message passing in linear state-space models, which includes recursive least squares, linear minimum-mean-squared-error estimation, and Kalman filtering algorithms. Tabulated message computation rules for the building blocks of linear models allow us to compose a variety of such algorithms without a... View full abstract»

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  • Recent Advances in Turbo Code Design and Theory

    Publication Year: 2007, Page(s):1323 - 1344
    Cited by:  Papers (19)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1950 KB) | HTML iconHTML

    The discovery of turbo codes and the subsequent rediscovery of low-density parity-check (LDPC) codes represent major milestones in the field of channel coding. Recent advances in the design and theory of turbo codes and their relationship to LDPC codes are discussed. Several new interleaver designs for turbo codes are presented which illustrate the important role that the interleaver plays in thes... View full abstract»

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  • Joint Source–Channel Turbo Techniques for Discrete-Valued Sources: From Theory to Practice

    Publication Year: 2007, Page(s):1345 - 1361
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1037 KB) | HTML iconHTML

    The principles which have been prevailing so far for designing communication systems rely on Shannon's source and channel coding separation theorem. This theorem states that source and channel optimum performance bounds can be approached as close as desired by designing independently the source and channel coding strategies. However, this theorem holds only under asymptotic conditions, where both ... View full abstract»

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  • Optimality and Duality of the Turbo Decoder

    Publication Year: 2007, Page(s):1362 - 1377
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (413 KB) | HTML iconHTML

    The near-optimal performance of the turbo decoder has been a source of intrigue among communications engineers and information theorists, given its ad hoc origins that were seemingly disconnected from optimization theory. Naturally one would inquire whether the favorable performance might be explained by characterizing the turbo decoder via some optimization criterion or performance index. Recentl... View full abstract»

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  • Electrical Engineering Hall of Fame: Frank Conrad

    Publication Year: 2007, Page(s):1378 - 1380
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  • Future Special Issues/Special Sections of the Proceedings

    Publication Year: 2007, Page(s):1381 - 1382
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  • IEEE copyright form

    Publication Year: 2007, Page(s):1383 - 1384
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  • IEEE Foundation [advertisement]

    Publication Year: 2007, Page(s): C3
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  • Put your technology leadership in writing

    Publication Year: 2007, Page(s): C4
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H. Joel Trussell
North Carolina State University