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Signal detection of delta-coded speech

B.G. Taylor
- Vol. 123, Iss: 8, pp 752-755
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TLDR
A signal detection method for delta-coded speech is presented which exploits the redundancy of the source to reduce the error rate owing to additive Gaussian noise in the channel.
Abstract
A signal detection method for delta-coded speech is presented which exploits the redundancy of the source to reduce the error rate owing to additive Gaussian noise in the channel. The method implements a Bayes strategy with dual decision boundaries selected by a 6th-order digital predictor. Fixed decision boundary pairs, appropriate for a wide range of input signal/noise ratio, are established. This easily implemented technique is shown to give an error-rate reduction of about 40% in coherent antipodal and coherent and noncoherent orthogonal communication.

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Citations
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Patent

Delta modulated digital signal detector

TL;DR: In this article, a detector for delta modulated digital signals is disclosed that provides a signal quality voltage having a magnitude that is indicative of the degree of quality of the detected delta-modulated digital signal.
References
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Book

Signal Detection Theory

TL;DR: The starting point for signal detection theory is that nearly all decision making takes place in the presence of some uncertainty, and the classic example of detecting brief, dim flashes of light in a dark room is begun.