Lu, "Blind fragile image watermarking based on

vector quantization and block truncation coding," ICIC Express Letters Part B: Applications, vol.

Yang, "Multipurpose watermarking based on blind

vector quantization (BVQ)," Journal of Information Hiding and Multimedia Signal Processing, vol.

Vector Quantization (VQ) is highly competitive technique for automatic speaker identification compared with Gaussian Mixture Model (GMM) (Kinnunen et al.

In this model, with

vector quantization (VQ), descriptor size can be reduced significantly; for example, in the test model (Francini et al.

Key words and phrases : Geometric sampling, Zador's Theorem,

Vector quantization, Pulse code modulation, Lattice codes, Channel capacity, Shannon's Second Theorem.

Linear

Vector Quantization using Fan-beam Transformation: This method produces Fan-beam projections of the database as Target data matrix.

The 33 papers consider such topics as an analysis and description system for children's inquiry in a multimedia science learning environment, knowledge management in service-oriented systems, an image search system with analytical functions for three-dimensional color

vector quantization and cluster-based shape and structure features, consistency in the business system model, rapid ontological development, analyzing topic transitions using context-dependent attractiveness, connecting chosen music and artworks, and prototype systems of life support networks for rural people.

7] have proposed a VQ-based image hiding scheme that employs the

vector quantization (VQ) technique [8, 9] to compress the gray-level secret image and embed the results into the gray-level cover image using least significant bits (LSB) substitution.

7,502,519, covering systems and methods for image pattern recognition using

vector quantization (VQ).

In this paper, we propose and develop a

vector quantization (VQ) technique for typed Arabic character recognition.

An Automated Testing and Classification System For Identifying Defects in Nuclear Steam Generator Tubes Using a Learning

Vector Quantization Neural Architecture.

Several compression techniques have been developed, such as Differential Pulse Code Modulation, Discrete Cosine Transform (Gersho and Gray, 1992), Discrete Fourier Transform, and numerous

Vector Quantization (VQ) methods (Amerijckx et.