• Publications
  • Influence
Maximum-likelihood sequence estimation of digital sequences in the presence of intersymbol interference
  • G. Forney
  • Mathematics, Computer Science
  • IEEE Trans. Inf. Theory
  • 1 May 1972
TLDR
A maximum-likelihood sequence estimator for a digital pulse-amplitude-modulated sequence in the presence of finite intersymbol interference and white Gaussian noise is developed. Expand
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On the design of low-density parity-check codes within 0.0045 dB of the Shannon limit
TLDR
We develop improved algorithms to construct good low-density parity-check codes that approach the Shannon limit of the binary input additive white Gaussian noise channel. Expand
  • 1,517
  • 75
  • PDF
Convolutional codes I: Algebraic structure
  • G. Forney
  • Mathematics, Computer Science
  • IEEE Trans. Inf. Theory
  • 1 November 1970
TLDR
A convolutional encoder is defined as any constant linear sequential circuit. Expand
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Generalized minimum distance decoding
  • G. Forney
  • Mathematics, Computer Science
  • IEEE Trans. Inf. Theory
  • 1 April 1966
TLDR
We introduce a new distance measure which permits likelihood information to be used in algebraic minimum distance decoding techniques. Expand
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Exponential error bounds for erasure, list, and decision feedback schemes
  • G. Forney
  • Computer Science
  • IEEE Trans. Inf. Theory
  • 1 March 1968
TLDR
By an extension of Gallager's bounding methods, exponential error bounds applicable to coding schemes involving erasures, variable-size lists, and decision feedback are obtained. Expand
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Sphere-bound-achieving coset codes and multilevel coset codes
TLDR
A simple sphere bound gives the best possible tradeoff between the volume per point of an infinite array L and its error probability on an additive white Gaussian noise (AWGN) channel. Expand
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MMSE decision-feedback equalizers and coding. I. Equalization results
TLDR
The minimum mean-squared-error decision-feedback equalizer (MMSE-DFE) has properties that suggest that it is a canonical equalization structure for systems that combine equalization with coded modulation, particularly at moderate to low SNR's and on severe-ISI channels. Expand
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Modulation and Coding for Linear Gaussian Channels
TLDR
Shannon's determination of the capacity of the linear Gaussian channel has posed a magnificent challenge to succeeding generations of researchers. Expand
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Random codes: Minimum distances and error exponents
  • A. Barg, G. Forney
  • Mathematics, Computer Science
  • IEEE Trans. Inf. Theory
  • 1 September 2002
TLDR
Minimum distances, distance distributions, and error exponents on a binary-symmetric channel (BSC) are given for typical codes. Expand
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Concatenated codes
TLDR
We present theoretical and computational results bearing on the efficiency and complexity of concatenated codes; the major theoretical results are the following: 1. Expand
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