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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.
Author (s): Biswas, Arijit; den Brinker, Albertus C.
Affiliation:
Philips Research Laboratories; Technische Universiteit Eindhoven
(See document for exact affiliation information.)
AES Convention: 122
Paper Number:7006
Publication Date:
2007-05-06
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Session subject:
Low Bit-Rate Audio Coding
Permalink: https://aes2.org/publications/elibrary-page/?id=13991
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Biswas, Arijit; den Brinker, Albertus C.; 2007; Quantization of Laguerre-Based Stereo Linear Predictors [PDF]; Philips Research Laboratories; Technische Universiteit Eindhoven; Paper 7006; Available from: https://aes2.org/publications/elibrary-page/?id=13991
Biswas, Arijit; den Brinker, Albertus C.; Quantization of Laguerre-Based Stereo Linear Predictors [PDF]; Philips Research Laboratories; Technische Universiteit Eindhoven; Paper 7006; 2007 Available: https://aes2.org/publications/elibrary-page/?id=13991