Title :
An improved algorithm for vector quantizer design
Author :
Veprek, Peter ; Bradley, A.B.
Author_Institution :
Dept. of Commun. & Electr. Eng., R. Melbourne Inst. of Technol., Vic., Australia
Abstract :
Vector quantization is an essential tool in signal processing. Although many algorithms for vector quantizer design have been developed, the classical generalized Lloyd algorithm (GLA) is still widely used, mainly for its simplicity and relatively good performance. Recently, Lee et al. (see IEEE Signal Processing Lett., vol.4, p.2-4, Jan. 1997) proposed an intuitive modification of the K-means algorithm (MKMA). In this letter, we propose an improved algorithm that uses the standard GLA embedded in a codevector reassignment loop. The algorithm achieves better performance by targeting specifically those sections of the codebook that contribute most to the overall reconstructed signal distortion. Simulations show that the proposed algorithm outperforms both the traditional GLA and MKMA in a variety of scenarios.
Keywords :
Signal reconstruction; Vector quantization; VQ; codevector reassignment loop; generalized Lloyd algorithm; modified K-means algorithm; reconstructed signal distortion; signal processing; vector quantizer design algorithm; Algorithm design and analysis; Clustering algorithms; Code standards; Data compression; Distortion; Nearest neighbor searches; Quantization; Signal processing algorithms; Terminology; Training data;
Journal_Title :
Signal Processing Letters, IEEE