Threshold setting model for the set partitioning in hierarchical trees (SPIHT) for audio

dc.contributor.authorSondur, S.V.
dc.date.accessioned2026-02-06T06:40:38Z
dc.date.issued2011
dc.description.abstractThis paper describes applying the Set Partitioning in Hierarchical Trees (SPIHT) algorithm using a devised model to compress audio signals. It allows choosing the amount of compression based upon bit rate requirements. A threshold setting model, based on energy and frequency patterns of the signal is used to assist the SPIHT encoder set efficient threshold values, based upon the nature of the audio. It is thus adaptable to the nature of the audio as well as the bit rate requirement. The implementation can be used for storage as well as progressive transmission. © 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).
dc.identifier.citationProceedings of SPIE - The International Society for Optical Engineering, 2011, Vol.8285, , p. -
dc.identifier.issn0277786X
dc.identifier.urihttps://doi.org/10.1117/12.913447
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/33049
dc.subjectAudio Coding
dc.subjectSorting
dc.subjectThreshold logic
dc.subjectWavelet
dc.titleThreshold setting model for the set partitioning in hierarchical trees (SPIHT) for audio

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