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Binary communication feedback systems
TLDR
Shannon's coding theorem for a noisy channel1 indicates that information can be transmitted as reliably as desired in the presence of noise, provided the transmitted rate does not exceed the channel capacity. Expand
Some Recent Developments in Digital Feedback Communication Systems
TLDR
This paper summarizes the results of investigations into two methods for increasing the reliability of digital communication systems: 1) by improvements in the decision system of the receiver, and 2) by the introduction of a feedback link for error correction between the receiver and the transmitter. Expand
FEEDBACK COMMUNICATION SYSTEMS.
TLDR
The contents of seventeen scientific reports on coded errorfree feedback communication systems are described. Expand
Principles of noise reduction in communication channels
  • L. Schwartz
  • Mathematics
  • Transactions of the American Institute of…
  • 1 March 1956
THE development of communication theory has led to the introduction of concepts such as integration, correlation, matched filtering, comb filtering, probability of detection, etc. Much confusionExpand
IMPROVEMENT OF TWO-WAY COMMUNICATION BY MEANS OF FEEDBACK
TLDR
A general synthesis technique is presented for feedback systems with block codes. Expand
Feedback for Error Control and Two-Way Communication
TLDR
This paper surveys some recent advances in coding, feedback, and two-way communications. Expand
Merit criteria for communication systems
TLDR
Merit criteria are presented for the transmission of information through noisy channels. Expand
Minimum Cost Decision-Feedback Systems for Detecting Signals Perturbed by Additive Gaussian Noise
TLDR
This paper is concerned with achieving reliable communications at minimum cost. Expand
Use of the Null Zone in Voice Communications
This paper presents a discussion of four QPPM (quantized pulse position modulation) voice communication systems that make use of the ideas of Wald's sequential decision theory. The "double-threshold,Expand
Noise reduction in communication channels
THE DEVELOPMENT of communication theory has led to the introduction of concepts such as integration, correlation, matched filtering, “comb” filtering, probability of detection, etc. Much confusionExpand
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