Modified BTC Algorithm for Audio Signal Coding
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 statistica...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Stefan cel Mare University of Suceava
2016-11-01
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| Series: | Advances in Electrical and Computer Engineering |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.4316/AECE.2016.04005 |
| Summary: | 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. |
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| ISSN: | 1582-7445 1844-7600 |