Support Region Determination of the Quasilogarithmic Quantizer for LAPLACIAN source

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

Warianty tytułu

PL

Określenie parametru SR (suport region) quasi-logarytmicznego kwantyzera

• Języki publikacji: EN

Abstrakty

EN

This paper proposes the method for the support region determination of the quasilogarithmic quantizer designed for the Laplacian source and an arbitrary variance. The method is based on the minimal distortion criteria and it implies some approximations yielding the asymptotic formula for the optimal support region threshold of the quasilogarithmic quantizer. This formula shows which parameters influence the support region threshold of the quasilogarithmic quantizer which is of great importance for practical implementation of the considered quantizer in the high-quality quantization of signals, which, as well as speech signals, have statistics modeled by the Laplacian probability density function.

PL

W artykule zaproponowano metodę określania region pomocniczego (support region) w quasi logarytmicznym kwantyzerze zaprojektowanym do źródeł typu Laplasian o dowolnej wariancji. Kwantyzer może być zastosowany między innymi do kodowania mowy w systemach komunikacyjnych.

Słowa kluczowe

EN

quasilogarithmic quantizer; support region threshold; scaling coefficient

PL

kwantyzer; parametr SR; kodowanie mowy

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2012
• Tom: R. 88, nr 7a
• Strony: 130--132
• Opis fizyczny: Bibliogr. 14 poz., tab., wykr.

Twórcy

autor

Aleksić D.

autor

Perić Z.

autor

Nikolić J.

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

Bibliografia

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• [2] Hiwasaki Y., et al: G.711.1: A Wideband Extension to ITU-T G.711, Proc. EUSIPCO’08, Lausanne, Switzerland, (2008).
• [3] Recommendation G.711.1, Wideband Embedded Extension for G.711 Pulse Code Modulation, ITU-T, (2008).
• [4] Jayant N. S., Noll P., Digital Coding of Waveforms: Principles and Applications to Speech and Video, Prentice Hall, New Jersey, (1984), 115-251.
• [5] Hanzo L., Somerville C., Woodard J., Voice and Audio Compression for Wireless Communications, John Wiley & Sons - IEEE Press, (2007), 11-28.
• [6] Na S., Asymptotic Formulas for Mismatched Fixed-Rate Minimum MSE Laplacian Quantizers, IEEE Signal Process. Lett., 15 (2008), 13-16.
• [7] Na S., Variance-Mismatched Fixed-Rate Scalar Quantization of Laplacian Sources, IEEE Trans. Inf. Theory, 57 (2011), No. 7, 4561-4572.
• [8] Na S., Asymptotic Formulas for Variance-Mismatched Fixed-Rate Scalar Quantization of a Gaussian Source, IEEE Trans. Signal Process., 59 (2011), No. 5, 2437-2441.
• [9] Eskić Z., Perić Z., Nikolić J., Method of Designing Adaptive Uniform Quantizer for LPC Coefficient Quantization, Przeglad Elektrotechniczny, 87 (2011), No. 7, 245-248.
• [10] Na S., Neuhoff D., On the Support of MSE-Optimal Fixed-Rate Scalar Quantizers, IEEE Trans. Inf. Theory, 47 (2001), No. 7, 2972-2982.
• [11] Na S., On the Support of Fixed-Rate Minimum Mean-Squared Error Scalar Quantizers for a Laplacian Source, IEEE Trans. Inf. Theory, 50 (2004), No. 5, 937-944.
• [12] Perić Z., Nikolić J., Pokrajac D., Estimation of the Support Region for Laplacian Source Scalar Quantizers, Journal of Electrical Engineering, 58 (2007), No. 1, 47-51.
• [13] 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.
• [14] Recommendation G.712, Transmission Performance Characteristics of Pulse Code Modulation (PCM) Channels, ITU-T, (1992).