Optimization of μ-law companding Quantizer for Laplacian source using Muller’s method

• Autorzy: Nikolić J. , Perić Z. , Aleksić D.

Warianty tytułu

PL

Wykorzystanie metody Muller’a do optymalizacji kwantyzatora kompansji μ-law dla źródła laplasjanowego

• Języki publikacji: EN

Abstrakty

EN

The motivation of this paper is based on the fact that a straightforward solution to optimization of the widely used μ-law companding quantizer has not been proposed so far. We deal with this problem for the case of a Laplacian source and we apply Muller’s method for the optimization of the quantizer in question. Particularly, we use minimal distortion criteria and we apply Muller’s method in order to determine the key parameter of the μ-law companding quantizer. The optimization method we propose is very general and it is easily modified for non-Laplacian sources. It can be applied for speech compession, because speech signals are well modeled by Laplacian sources.

PL

W artykule opisano sposób optymalizacji kwantyzatora kompansji u-law. Do tego celu zastosowano metodę Muller’a oraz kryterium minimalnych zakłóceń. Proponowana optymalizacja jest ogólna i może być zmodyfikowana dla źródeł nielaplasjanowych.

Słowa kluczowe

EN

μ-law companding quantizer; Muller’s method; optimization; speech compression

PL

kwantyzator kompansji u-law; metoda Muller’a; optymalizacja; kompresja mowy

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2013
• Tom: R. 89, nr 3a
• Strony: 206--208
• Opis fizyczny: Bibliogr. 11 poz., tab., wykr.

Twórcy

autor

Nikolić J.

• Faculty of Electronic Engineering, University of Niš, Aleksandra Medvedeva 14, 18000 Niš, Serbia

autor

Perić Z.

• Faculty of Electronic Engineering, University of Niš, Aleksandra Medvedeva 14, 18000 Niš, Serbia

autor

Aleksić D.

• Faculty of Electronic Engineering, University of Niš, Aleksandra Medvedeva 14, 18000 Niš, Serbia

Bibliografia

• [1] Recommendation G.711, Pulse Code Modulation (PCM) of Voice Frequencies, ITU-T, (1972).
• [2] Aleksić D., Perić Z., Nikolić J., Support Region Determination of the Quasilogarithmic Quantizer for Laplacian Source, Przeglad Elektrotechniczny, 88 (2012), No. 7A, 130-132.
• [3] Mosic A., Peric Z., Panic S., Switched Nonuniform and Piecewise Uniform Scalar Quantization of Laplacian Source, International Journal of Computers & Control, 7 (2012), No. 1, 115-122.
• [4] Perić Z., Nikolić J., High-quality Laplacian Source Quantization Using the Combination of Restricted and Unrestricted Logarithmic Quantizers, IET Signal Processing, (accepted for publication).
• [5] Perić Z., Nikolić J., An Adaptive Waveform Coding Algorithm and its Application in Speech Coding, Digital Signal Processing, 22 (2012), No. 1, 199-209.
• [6] Jayant N. S., Noll P., Digital Coding of Waveforms: Principles and Applications to Speech and Video, Prentice Hall, New Jersey, (1984), 115-251.
• [7] Hanzo L., Somerville C., Woodard J., Voice and Audio Compression for Wireless Communications, John Wiley & Sons - IEEE Press, (2007), 11-28.
• [8] Perić Z., Dinčić M., Denić D., Jocić A., Forward Adaptive Logarithmic Quantizer with New Lossless Coding Method for Laplacian Source, Wireless Personal Communications, 59 (2011), No. 4, 625-641.
• [9] Atkinson K., An Introduction to Numerical Analysis, John Wiley & Sons, New York (1989).
• [10] Cheney W., Kincaid D., Numerical Mathematics and Computing, 6th Edition, Thomson Higher Education, Belmont, (2008).
• [11] Recommendation G.712, Transmission Performance Characteristics of Pulse Code Modulation (PCM) Channels, ITU-T, (1992).