Quantization of Laguerre-Based Stereo Linear Predictors

A. Biswas, A.C. Brinker, den

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

1 Citaat (Scopus)

Samenvatting

Recently a quantization strategy for stereo linear prediction systems was proposed and tested using random data as input. This research is extended in the current paper by incorporating Laguerre filters in the stereo linear prediction scheme. First, it is shown that the associated normalized reflection matrices can be obtained efficiently. Second, the system was tested using stereo audio data in order to gain an insight into the required bit-rates for practical applications.
Originele taal-2Engels
TitelProceedings of the 122nd AES Convention, 5-8 May 2007, Vienna, Austria
StatusGepubliceerd - 2007
Evenement122nd Convention of the Audio Engineering Society (AES 2007 Convention) - Vienna, Oostenrijk
Duur: 5 mei 20078 mei 2007

Congres

Congres122nd Convention of the Audio Engineering Society (AES 2007 Convention)
LandOostenrijk
StadVienna
Periode5/05/078/05/07
Ander122nd AES Convention, Vienna, Austria

Citeer dit

Biswas, A., & Brinker, den, A. C. (2007). Quantization of Laguerre-Based Stereo Linear Predictors. In Proceedings of the 122nd AES Convention, 5-8 May 2007, Vienna, Austria