tailieunhanh - Improving the switched split vector quantization technique using a joint source channel coding approach

This paper deals with enhancing the error resilient of the Switched Split Vector Quantization (SSVQ) techniques by adopting the optimal Index Assignment approach, a Joint Source-Channel coding method. SSVQ is one of the latest structured vector quantization schemes and it has several advantages over other schemes. | Journal of Science & Technology 123 (2017) 043-047 Improving the Switched Split Vector Quantization Technique using a Joint Source Channel Coding Approach Tran Ngoc Tuan*, Nguyen Quoc Trung, Tran Hai Nam Hanoi University of Science and Technology, No. 1, Dai Co Viet Str., Hai Ba Trung, Ha Noi, Viet Nam Received: June 06, 2016; Accepted: November 03, 2017 Abstract This paper deals with enhancing the error resilient of the Switched Split Vector Quantization (SSVQ) techniques by adopting the optimal Index Assignment approach, a Joint Source-Channel coding method. SSVQ is one of the latest structured vector quantization schemes and it has several advantages over other schemes. The new method proposed in this paper can improve the SSVQ encoder without the addition of extra bits and coding complexity. In addition, the application of the new method in speech coding is also investigated in this paper. The effectiveness of IA-SSVQ method is validated by comparing it with other methods through simulations. Keywords: Joint Source-Channel coding, Vector Quantization, Index Assignment, Switched Split Vector Quantization. 1. Introduction * a technique to mitigate channel errors without an increase of the bit-rate. This paper deals with enhancing the error resilient of the SSVQ technique by using JSCC approach. Signal coding has played a significant role in the success of digital communication, in which, the fundamental operation is quantization. Vector quantization (VQ) are known to theoretically achieve the lowest distortion, at a given rate and dimension, of any quantization scheme [1,2]. In practice, VQ is widely-used for low bit-rate coding of analog signals, especially highly correlated sources. In the past, several methods based on JSCC technique were proposed for improving the VQ coder robustness for transmission over noisy channel. In order to improve the SSVQ method, the Channel Optimized Switched Split Vector Quantization (COSSVQ) method was proposed [7], which .