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Patent

Resisting the effects of channel noise in digital transmission of information

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TLDR
In this article, the vector quantization technique is used to resist the effects of channel noise in the digital transmission of information by means of the technique known as vector quantisation, in which the codebook for binary index code assignment is generated by picking a vector quantized codeword with high probability and low perceptually-related distance from a required group of nearest neighbors, assigning that codewords and those neighbors binary index codes differing only in one bit, repeating the steps just outlined for assigned binary code to residual codeewords until the last assignments must be made arbitrarily.
Abstract
A method for resisting the effects of channel noise in the digital transmission of information by means of the technique known as vector quantization, in which the codebook for binary index code assignment is generated by picking a vector quantized codeword with high probability and low perceptually-related distance from a required group of nearest neighbors, assigning that codeword and those neighbors binary index codes differing only in one bit, repeating the steps just outlined for assigned binary index codes to residual codewords until the lasts assignments must be made arbitrarily. Applications include transmission of speech by coded LPC parameters and transmission of image intensity or chrominance blocks for visual images. Such systems also make possible and are attractive for memory-efficient storage of such signals.

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Citations
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Journal ArticleDOI

Side match and overlap match vector quantizers for images

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Low-bit-rate speech coder using LPC data reduction processing

TL;DR: A speech coder employs vector quantization of LPC parameters, interpolation, and trellis coding for improved speech coding at low bit rates (400 bps).
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Vector quantization in a harmonic speech coding arrangement

TL;DR: A harmonic speech coding arrangement where vector quantization is used to improve speech quality is described in this article, where scaled vectors can be added into the magnitude and phase spectra for use at the synthesizer in generating speech as a sum of sinusoids.
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References
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Journal Article

Vector quantization

TL;DR: During the past few years several design algorithms have been developed for a variety of vector quantizers and the performance of these codes has been studied for speech waveforms, speech linear predictive parameter vectors, images, and several simulated random processes.
Journal ArticleDOI

Product code vector quantizers for waveform and voice coding

TL;DR: Several algorithms are presented for the design of shape-gain vector quantizers based on a traning sequence of data or a probabilistic model, and their performance is compared to that of previously reported vector quantization systems.
Patent

Predictive coding of speech signals

TL;DR: In this article, an adaptive predictor is employed which is readjusted periodically to match the time-varying characteristics of a speech signal, which is used to reduce the channel capacity required to transmit a signal with specified fidelity.
Patent

Adaptive graylevel image compression system

TL;DR: In this paper, a method for modeling differential pulse code modulation (DPCM) input data for entropy coding is presented, in which the sign and magnitude of one piece of DPCM data after another are modelled to provide a magnitude state input and a sign state input, respectively, to an entropy encoder or decoder.
Journal ArticleDOI

Analysis of Digital Errors in Nonlinear PCM Systems

TL;DR: The technique used for the analysis leads to the conclusion that there are PCM codes less sensitive to digital errors than the standard binary folded PCM code.