Context-based entropy coding of VQ indexes

Limited by the inherent computational intractability of vector quantization in dimensions, practical VQ coders all employ signal blocks of rather modest sizes, failing to capture all higher-order statistical dependency. Therefore, context-based, adaptive entropy coding of VQ indexes can significantly reduce the bit rate of VQ coders for a given distortion.