J
Jr. G. Forney
Researcher at Stanford University
Publications - 3
Citations - 2940
Jr. G. Forney is an academic researcher from Stanford University. The author has contributed to research in topics: Gaussian noise & Intersymbol interference. The author has an hindex of 3, co-authored 3 publications receiving 2935 citations.
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Journal ArticleDOI
Maximum-likelihood sequence estimation of digital sequences in the presence of intersymbol interference
TL;DR: In this paper, 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, which comprises a sampled linear filter, called a whitened matched filter, and a recursive nonlinear processor, called the Viterbi algorithm.
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Structural analysis of convolutional codes via dual codes
TL;DR: A linear correspondence is developed between theStates of a rate- k/n convolutional encoder G and the states of a corresponding syndrome former H^T, where H is an encoder of the code dual to the code generated by G .
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Lower Bounds on Error Probability in the Presence of Large Intersymbol Interference
TL;DR: A lower bound on the symbol error probability achieved by any estimator of a digital pulse-amplitude-modulated sequence in the presence of white Gaussian noise and intersymbol interference is presented and reduces to the well-known single-pulse error probability bound.