Vector quantization is a technique used in (usually lossy) data compression. The basic idea is to code a multidimensional vector space into a sub-space with lower dimension. The lower-space vector requires less storage space and the data is thus compressed. The transformation into the sub-space is usually achieved through projection or by using a code-book.
... conducted by David Barsamian[?]. It was first published in the UK by Pluto Press[?] in 1996.
The contents runs as follows:
Introduction
Looking Ahead: Tenth ...