vector quantization


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vector quantization

[¦vek·tər ‚kwän·tə′zā·shən]
(computer science)
A data compression technique in which a finite sequence of values is presented as resembling the template (from among the choices available to a given codebook) that minimizes a distortion measure.
McGraw-Hill Dictionary of Scientific & Technical Terms, 6E, Copyright © 2003 by The McGraw-Hill Companies, Inc.
References in periodicals archive ?
Chen, "Joint fingerprinting and decryption with noise-resistant for vector quantization images," Signal Processing, vol.
Nahavandi, "Identification of concurrent control chart patterns with singular spectrum analysis and learning vector quantization," Journal of Intelligent Manufacturing, vol.
Raut, "Detection of cancer using vector quantization for segmentation," International Journal of Computers and Applications, vol.
Vector Quantization (VQ) is highly competitive technique for automatic speaker identification compared with Gaussian Mixture Model (GMM) (Kinnunen et al.
A strategy to cluster very large data sets is to perform vector quantization followed by a clustering of the obtained prototypes.
In this paper, we consider distributed vector quantization. When using a sensor network as an exploratory infrastructure, we need to transmit and store the data collected by sensors.
Genetic Algorithm and Vector Quantization. The vector quantization (VQ) approach is used for mapping vectors (feature extraction of input signal) from a large vector space to a finite number of regions in that space.
In this model, with vector quantization (VQ), descriptor size can be reduced significantly; for example, in the test model (Francini et al.
Applications to Pulse Code Modulation and Vector Quantization of Images are addressed.
Linear Vector Quantization using Bit Mapping: In Bit-mapping LVQ the segmented characters are directly fed as an input to Neural Network for training.