Modified BTC Algorithm for Audio Signal Coding

Autor:	TOMIC, S., PERIC, Z., NIKOLIC, J.
Jazyk:	angličtina
Rok vydání:	2016
Předmět:	adaptive coding audio compression correlation quantization signal to noise ratio Electrical engineering. Electronics. Nuclear engineering TK1-9971 Computer engineering. Computer hardware TK7885-7895
Zdroj:	Advances in Electrical and Computer Engineering, Vol 16, Iss 4, Pp 31-38 (2016)
Druh dokumentu:	article
ISSN:	1582-7445 1844-7600
DOI:	10.4316/AECE.2016.04005
Popis:	This paper describes modification of a well-known image coding algorithm, named Block Truncation Coding (BTC) and its application in audio signal coding. BTC algorithm was originally designed for black and white image coding. Since black and white images and audio signals have different statistical characteristics, the application of this image coding algorithm to audio signal presents a novelty and a challenge. Several implementation modifications are described in this paper, while the original idea of the algorithm is preserved. The main modifications are performed in the area of signal quantization, by designing more adequate quantizers for audio signal processing. The result is a novel audio coding algorithm, whose performance is presented and analyzed in this research. The performance analysis indicates that this novel algorithm can be successfully applied in audio signal coding.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/045f7c4da5c84a4094e18238e8913e38 Zobrazit plný text záznamu View record in DOAJ