Vector quantization

dc.contributor.authorHernández De Luna, Julio A.
dc.date.accessioned2022-04-29T16:48:15Z
dc.date.available2022-04-29T16:48:15Z
dc.date.issued1996-12
dc.descriptionVolumen 6, Número 2, Diciembre 1996en_US
dc.description.abstractData compression is the packing of data, the process of transforming a body data into a smaller representation from which the original or an approximation of the original can be computed at a later time. Most data sources contain redundancies such as non-uniform symbol distribution, pattern repetition, and positional redundancy. A data compression algorithm encodes the data to reduce these redundancies. Vector quantization (VQ) is an efficient data compression technique for speech and images. VQ maps a pattern defined by a discrete vector into a short digital sequence suitable for transmission over a digital channel or storage in a digital medium. Today, with the computing power available, the time spent or data processing has been reduced and the application of vector quantization for real-time coding is once again considered. A study of different techniques of vector quantization will be done. The details of some schemes will be presented.en_US
dc.identifier.citationHernández De Luna, J. A. (1996). Vector quantization, Revista de la Universidad Politécnica de Puerto Rico, 6(2), 239-259.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12475/1501
dc.language.isoenen_US
dc.publisherPolytechnic University of Puerto Ricoen_US
dc.relation.haspartSan Juanen_US
dc.relation.ispartofRevista de la Universidad Politécnica de Puerto Rico;
dc.rights.holderEsta Junta Editorial y la Universidad Politécnica de Puerto Rico hacen constar y reconoce que los autores de los artículos, obras literarias y artísticas publicadas en esta Revista Politechnê, se reservan enteramente los derechos de autor y de publicación de los mismos para los efectos de cualquier ventualidad literaria, publicitaria o de cualquier índole.en_US
dc.rights.licenseAll rights reserveden_US
dc.subject.lcshData compression (Computer science) en_US
dc.subject.lcshPolytechnic University of Puerto Rico--Faculty--Researchen_US
dc.titleVector quantizationen_US
dc.typeArticleen_US

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