Thesis Details

Lossless Encoding of Signals from Microphone Array

Bachelor's Thesis Student: Kálazi Adrián Academic Year: 2021/2022 Supervisor: Černocký Jan, prof. Dr. Ing.
Czech title
Bezeztrátové kódování signálů z mikrofonního pole
Language
English
Abstract

Lossless audio coding is increasingly important for properly archiving and preserving audio in its original form. To achieve a good compression ratio, lossless encoding techniques such as linear prediction and Rice coding are often applied to the original audio in order to minimize its entropy and preserve the original signal bit-precisely with a reduced size. This thesis explores the possibilities of efficiently encoding multi-channel audio in a way that exploits the similarity between multiple channels in order to achieve better compression ratios. This thesis also explores the techniques employed by FLAC in more depth while also providing solutions to a few problems that FLAC fails to address.

Keywords

lossless speech coding, lossless audio coding, linear prediction, adaptive Rice coding, decorrelation, audio processing, dynamic audio encoding

Department
Degree Programme
Files
Status
defended, grade A
Date
15 June 2022
Reviewer
Committee
Černocký Jan, prof. Dr. Ing. (DCGM FIT BUT), předseda
Bartík Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Češka Milan, doc. RNDr., Ph.D. (DITS FIT BUT), člen
Jaroš Jiří, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Orság Filip, Ing., Ph.D. (DITS FIT BUT), člen
Citation
KÁLAZI, Adrián. Lossless Encoding of Signals from Microphone Array. Brno, 2022. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2022-06-15. Supervised by Černocký Jan. Available from: https://www.fit.vut.cz/study/thesis/24799/
BibTeX
@bachelorsthesis{FITBT24799,
    author = "Adri\'{a}n K\'{a}lazi",
    type = "Bachelor's thesis",
    title = "Lossless Encoding of Signals from Microphone Array",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2022,
    location = "Brno, CZ",
    language = "english",
    url = "https://www.fit.vut.cz/study/thesis/24799/"
}
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