The Successive Mean Quantization Transform
Blekinge Institute of Technology, School of Engineering, Department of Signal Processing2005 (English)Conference paper (Refereed) Published
This paper presents the Successive Mean Quantization Transform (SMQT). The transform reveals the organization or structure of the data and removes properties such as gain and bias. The transform is described and applied in speech processing and image processing. The SMQT is considered as an extra processing step for the mel frequency cepstral coefficients commonly used in speech recognition. In image processing the transform is applied in automatic image enhancement and dynamic range compression.
Place, publisher, year, edition, pages
Philadelphia: IEEE , 2005.
Mathematics Signal Processing
IdentifiersURN: urn:nbn:se:bth-10182ISI: 000229404203108Local ID: oai:bth.se:forskinfo2660BCCB72BCE3CCC125714D004828C1OAI: oai:DiVA.org:bth-10182DiVA: diva2:838253
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