Abstract
A new concept of reduction of non-stationary noise affecting audio signals transmitted in telecommunication channels is proposed. This concept exploits some features of the human auditory system as well as some methods originated from soft computing domain; i.e. rough set-based reasoning and neural processing. The foundations of the engineered method and a description of applied decision algorithms are presented. A number of experiments have been prepared; and some of them have already been carried out. A brief discussion of these experiments’ results and some conclusions are also included.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Brandenburg, K.: Second Generation Perceptual Audio Coding: The Hybrid Coder. In: Proc. of the 90th Audio Eng. Soc. Conv., Monteux, France (1990) (preprinit 2937)
Czyzewski, A.: Learning Algorithms for Audio Signal Enhancement. J. of Audio Eng. Soc. 45, 931–943 (1997)
Czyzewski, A., Krolikowski, R.: Application of Intelligent Decision Systems to the Perceptual Noise Reduction of Audio Signals. In: Proc. of the 5th European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany, vol. 1, pp. 188–192 (1997)
Czyzewski, A., Krolikowski, R.: Noise Reduction in Audio Employing Auditory Masking Approach. In: Proc. of 106th Audio Eng. Soc. Conv., Munich, Germany (1999) (preprint 4930)
Johnston, J.: Transform Coding of Audio Signals Using Perceptual Noise Criteria. IEEE J. of Select. Areas in Communication 6, 314–323 (1988)
Krolikowski, R., Czyzewski, A.: Noise Reduction in Acoustic Signals Using the Perceptual Coding. In: Proceedings of the 137th Meeting Acoustic Society of America, Berlin, Germany (1999) (CD-Preprint)
Pawlak, Z.: Rough Sets. International Journal of Computer and Information Sciences 11, 341–356 (1982)
Shlien, S.: Guide to MPEG-1 Audio Standard. IEEE Trans. Broadcasting 40, 206–218 (1994)
Vaseghi, S.: Advanced Signal Processing and Digital Noise Reduction. Wiley & Teubner, New York (1997)
Zurada, J.: Introduction to Artificial Neural Networks. West Publ. Comp., St. Paul (1992)
Zwicker, E., Fasti, H.: Psychoacoustics, Facts and Models. Springer, Berlin (1990)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Krolikowski, R., Czyzewski, A. (1999). Noise Reduction in Telecommunication Channels Using Rough Sets and Neural Networks. In: Zhong, N., Skowron, A., Ohsuga, S. (eds) New Directions in Rough Sets, Data Mining, and Granular-Soft Computing. RSFDGrC 1999. Lecture Notes in Computer Science(), vol 1711. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-48061-7_14
Download citation
DOI: https://doi.org/10.1007/978-3-540-48061-7_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66645-5
Online ISBN: 978-3-540-48061-7
eBook Packages: Springer Book Archive