Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.255374
Title: Prediction techniques applied to Differential Pulse-Code Modulation systems for encoding speech signals
Author: Evci, Cumhur C.
Awarding Body: Loughborough University of Technology
Current Institution: Loughborough University
Date of Award: 1982
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Abstract:
Differential pulse-code modulation (DPCM) is an efficient digitization technique for encoding speech signals. The two principal components of a DPCM system are the quantizer and the predictor, either or both of which can be adaptive. This thesis describes the investigation of various differential pulse-code modulation systems. Initially, fixed, i.e. time-invariant, predictors using long-term signal statistics of the speech signal are examined. The performance of such a predictor in a DPCM system having a fixed quantizer is studied. Then by replacing the fixed predictor with one whose coefficients are calculated at fixed time intervals, the performance of the encoder, in terms of signal to noise ratio (SNR), is improved by 3-5 dB. A further improvement of 2–3 dB in SNR is obtained when an adaptive quantizer is used in the DPCM system. However, the block adaptive predictor requires the transmission of prediction coefficients to the receiving end at the expense of an increase in the channel band width.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.255374  DOI: Not available
Keywords: Information theory & coding theory
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