Switched Scalar Optimal u-law Quantization with Adaptation Performed to both the Variance and the Distribution of Speech Signal
DOI:
https://doi.org/10.5755/j01.eee.22.1.14111Keywords:
Signal processing algorithms, adaptive quantization, speech processing, signal to noise ratioAbstract
This paper proposes a new model of switching scalar quantization that besides the usual adaptation to the variance uses a switching technique for adaptation to the distribution of the speech signal source. By applying the new model a smaller quantization errors achieved in comparison to the conventional models with a usual adaptation.
Downloads
Published
How to Cite
Issue
Section
License
The copyright for the paper in this journal is retained by the author(s) with the first publication right granted to the journal. The authors agree to the Creative Commons Attribution 4.0 (CC BY 4.0) agreement under which the paper in the Journal is licensed.
By virtue of their appearance in this open access journal, papers are free to use with proper attribution in educational and other non-commercial settings with an acknowledgement of the initial publication in the journal.