The Theory of Information and Coding

By Andrei V. Kelarev. 2005

502 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/83f9a971e84f124c05a78189cca9104c7858a2ec

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Citations in the corpus

Of Bits and Wows: A Bayesian Theory of Surprise with Applications to Attention (2009, methodology): “While several approaches for quantifying information have been proposed, the most prominent one so far has been Claude Shannon’s definition introduced over half a century ago (Aczel & Daroczy, 1975; Blahut, 1987; Cover & Thomas, 1991; McEliece, 1977; Shannon, 1948).”
Visible light communication: Applications, architecture, standardization and research challenges (2017, methodology): “Linear block codes [26], convolutional codes [27] and the state of the art turbo codes [28] can be used to enhance the performance of the VLC system.”
Ambient Backscatter Communications: A Contemporary Survey (2017, methodology): “In particular, based on the principle of the cyclic code [56], this technique encodes data by associating the code with polynomials.”
Information Theory, Inference, and Learning Algorithms (2004, background): “A generalized channel coding theorem, including a cost function for the inputs, can be proved – see McEliece (1977). The result is a channel capacity C(v̄) that is a function of the permitted cost.”
Bounds for the normalised Jensen functional (2006, unknown): “The following theorem is well known in the literature and concerns the maximum possible value of H(X) in terms of the size of R [5, p. 27] THEOREM 2.”
Complex-Valued Autoencoders (2011, background): “For instance, the linear case over finite fields with noise added to the hidden layer, subsumes the theory of linear codes in coding theory (McEliece, 1977).”
Boolean autoencoders and hypercube clustering complexity (2012, background): “8.4 Autoencoders, coding, and information theory Not surprisingly, autoencoders are closely related to the theory of information and coding [20].”
Transporting information and energy simultaneously (2008, background): “This intuition is formalized for discrete memoryless channels, following [14].”