Joint oversampled subband audio processing and coding using subband predictive quantization

dc.contributor.advisorDony, Robert
dc.contributor.advisorAreibi, Shawki
dc.contributor.authorHermann, David of Engineeringen_US of Guelphen_US of Applied Scienceen_US
dc.description.abstractThis thesis covers research into joint oversampled subband audio processing and coding. The integration of subband audio processing and subband audio coding is beneficial for audio devices such as wireless digital hearing aids where processing delay and computational resources are constraints on the application. In this thesis we first evaluate an oversampled single-sideband (SSB) filter bank which has real-valued subband signals for signal coding and is free from aliasing cancellation constraints which can impede subband audio processing performance. Oversampled subband predictive coding systems are then developed for this filter bank. Noise predictive, signal predictive and composite predictive coding methods are evaluated and shown to provide consistent improvements in SNR. The oversampled subband predictors are also evaluated using a simple adaptive quantizer and real-world audio signals. These results demonstrate that improvements are possible with little additional computation, but that the design must carefully consider stability issues in the predictive coders.en_US
dc.publisherUniversity of Guelphen_US
dc.rights.licenseAll items in the Atrium are protected by copyright with all rights reserved unless otherwise indicated.
dc.subjectsubband audio processingen_US
dc.subjectsubband audio codingen_US
dc.subjectaudio devicesen_US
dc.subjectoversampled single-sideband filter banken_US
dc.subjectoversampled subband predictive coding systemsen_US
dc.subjectadaptive quantizeren_US
dc.titleJoint oversampled subband audio processing and coding using subband predictive quantizationen_US


Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
4.05 MB
Adobe Portable Document Format