"... Pseudorandom generators are fundamental to many theoretical and applied aspects of computing. Cooperative communication plays a central role in theories of human cognition, language, development, and culture, and is increasingly relevant in human-algorithm and robot interaction. An HMP is a discrete-time finite-state homogeneous Markov chain observed through a discrete-time memoryless invariant channel. Dongning Guo, Shlomo Shamai (Shitz), Sergio Verdú, Good Error-Correcting Codes based on Very Sparse Matrices, Error Control and Concealment for Video Communication -- A Review, Achieving near-capacity on a multiple-antenna channel, Deterministic Annealing for Clustering, Compression, Classification, Regression, and Related Optimization Problems, Spectral Efficiency of CDMA with Random Spreading, Mutual information and minimum mean-square error in Gaussian channels, Computation of channel capacity and rate-distortion functions, The College of Information Sciences and Technology. In this final installment of the paper we consider the case where the signals or the messages or both are continuously variable, in contrast with the discrete nature assumed until now. "... We study two families of error-correcting codes defined in terms of very sparse matrices. Sorted by: Results 1 - 10 of 635. In this tutorial we give an overview of the basic ideas underlying Support Vector (SV) machines for function estimation. 211-220, 1951. ...ding to the duration of time and the distance involved. We compare our simulation results with Shannon capacity limits for ergodic multiple-antenna channel. 2, MARCH 1999 where denotes the non-Gaussianness of the Gaussian plus interference noise quantified by its divergence ... ...10) To start with, consider the special case when the input distribution is standard Gaussian. Reu., vol. While such models do not fully describe the generation of natural language (for examples of digram and trigram English, see Shannon =-=[45]-=-, [46]), they account for a large part of the statistical dependencies in the language and are easily handled. This paper deals with arbitrarily distributed finite-power input signals observed through an additive Gaussian noise channel. ...arately design the source and channel coder to achieve the optimal performance of the overall system. Since it is easy to construct a one-way function from a pseudorandom generator, this result shows that there is a pseudorandom generator iff there is a one-way function. These techniques are described in three categories according to the roles that the encoder and decoder play in the underlying approaches. To make our transmitted data rate �, we must choose the vector constellation size and channel code rate such that � � (channel coding theorem =-=[37]-=-: error-free transmission possible for � �). An end-to-end confidentiality policy might assert that secret input data cannot be inferred by an attacker through the attacker's observations of system output; this policy regulates information flow. His classic NDRC report, {fr11} "Communication in the Presence of Noise" published in the, {fr13} "Theoretical Limitations on the Rate of Transmission of Information,", All Holdings within the ACM Digital Library. This approach yields valuable new insights regarding the computation of channel capacities and rate-distortion functions. The relative efficiency of any particular image-coding scheme should be defined only in relation to the class of images that the code is likely to encounter. Google Scholar {fr10} Communication theory is heavily indebted to Wiener for much of its basic philosophy and theory. 6, no. The fundamental role of quantization in modulation and analog-to-digital conversion was first recognized during the early development of pulsecode modulation systems, especially in the 1948 paper of Oliver, Pierce, and Shannon. C. Shannon. The CDMA channel with randomly and independently chosen spreading sequences accurately models the situation where pseudonoise sequences span many symbol periods. copy delete add this publication to your clipboard. To manage your alert preferences, click on the button below. 65, The Research Laboratory of Electronics, M.I.T., March 17, 1949. vol. We study two families of error-correcting codes defined in terms of very sparse matrices. Existing models are algorithmic in nature and do not shed light on the statistical problem solved in cooperation or on constraints imposed by violations of common ground. Google Scholar We show how these iterative techniques can also be used to achieve nea ...", Recent advancements in iterative processing of channel codes and the development of turbo codes have allowed the communications industry to achieve near-capacity on a single-antenna Gaussian or fading channel with low complexity. The fundamental role of quantization in modulation and analog-to-digital conversion was first recognized during the early development of pulsecode modula ...". 0-7695-0164-8/99 $10.00 (c) 1999 IEEE 1.2. Furthermore, its analysis provides a comparison baseline for CDMA channels with deterministic signature waveforms spanning one symbol period. Rev. {fr8} Technical Report No. It provides a conceptual framework for research on the differences and similarities of learning by individuals, groups, and organizations. In recent years, the work of Baum and Petrie on finite-state finite-alphabet HMPs was expanded to HMPs with finite as well as continuous state spaces and a general alphabet. In particular, statistical properties and ergodic theorems for relative entropy densities of HMPs were developed. Copy citation to your local clipboard. Bell Syst. The relative efficiency of any particular image-coding scheme should be defined only in relation to the class of images that the code is likely to encounter. The area of neural networks has greatly benefited from its unique position at the crossroads of several diverse scientific and engineering disciplines including statistics and probability theory, physics, biology, control and signal processing, information theory, complexity theory, and psychology (see [45]). Also in 1948, Bennett published the first high-resolution analysis of quantization and an exact analysis of quantization noise for Gaussian processes, and Shannon published the beginnings of rate distortion theory, which would provide a theory for quantization as analog-to-digital conversion and as data compression. https://dl.acm.org/doi/10.1145/584091.584093. Tools. Our Approach In his 1948 article, A Mathematical Theory of Communication =-=[10]-=-, Claude Shannon mentioned an interesting way of producing English-sounding written text using n-grams. The following receivers are analyzed: a) optimal joint processing, b) single-user matched filtering, c) decorrelation, and d) MMSE linear processing. Among the examples is the calculation of close upper and lower bounds to the rate-distortion function of a binary symmetric Markov source. to stimulate the next wave of research on organization learning.

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