Optimal normalisation of prediction residual for predictive coding with random access

Linear prediction serves as a mathematical operation to estimate the future values of a discrete-time signal based on a linear function of previous samples. When applied to predictive coding of waveform such as speech and audio, a common issue that plagues compression performance is the non-stationa...

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Veröffentlicht in:	IET signal processing Jg. 8; H. 7; S. 710 - 719
Hauptverfasser:	Shu, Haiyan, Yu, Rongshan, Huang, Haibin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Stevenage The Institution of Engineering and Technology 01.09.2014 John Wiley & Sons, Inc
Schlagworte:	adaptive codes adaptive normalisation method audio coding Coders Coding Computing time energy envelope Entropy entropy coder entropy codes Frames future discrete‐time signal value estimation linear prediction residuals Mathematical analysis mathematical operation optimal prediction residual normalisation poor coding performance mitigation predictive waveform coding Random access random access frames speech coding subsequent entropy coder Waveforms adaptive normalisation method random access frames entropy codes future discrete-time signal value estimation entropy coder adaptive codes predictive waveform coding audio coding mathematical operation subsequent entropy coder speech coding energy envelope poor coding performance mitigation optimal prediction residual normalisation linear prediction residuals
ISSN:	1751-9675, 1751-9683, 1751-9683
Online-Zugang:	Volltext
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