A review of vector quantization techniques
A. Vinotha Vasuki, Ponnusamy Thangapandian Vanathi · IEEE Potentials · 2006
The fundamental principles of quantization and the two basic types of quantization techniques-scalar and vector-have been introduced. The concept of VQ, its salient features, design of code book, and advantages/disadvantages has been dealt with in detail. VQ is a data compression technique, producing a reconstruction with as small a distortion as possible. The quality of the reconstruction depends on the amount of data that is discarded. The performance of different classes of VQ techniques like structured and unstructured VQ, memory and memoryless VQ, the types of VQ under each of these categories have been discussed. This article has surveyed these to a certain extent, and much more remains if a detailed analysis is required