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Más es menos: procesamiento de señales y el diluvio de datos.

Richard G Baraniuk¹

¹Department of Electrical and Computer Engineering, Rice University, Houston, TX 77251-1892, USA. richb@rice.edu

Science (New York, N.Y.)

|February 12, 2011

Resumen

El diluvio de datos transforma los sistemas de detección en entornos ricos en datos, lo que requiere nuevos diseños y teorías. Este cambio permite tecnologías de la información avanzadas y el descubrimiento científico.

Área de la Ciencia:

La ingeniería de los sistemas de sensores.
Teoría del procesamiento de señales Teoría del procesamiento de señales.
Tecnología de la información Tecnología de la información.

Sus antecedentes:

Los sistemas de detección modernos se enfrentan a un diluvio de datos, pasando de entornos operativos pobres en datos a entornos operativos ricos en datos.
El gran volumen de datos generados plantea el riesgo de abrumar las capacidades actuales de gestión y procesamiento.

Objetivo del estudio:

Para abordar los desafíos planteados por el diluvio de datos en los sistemas de detección.
Explorar la necesidad de reinventar el diseño del sistema de sensores y la teoría del procesamiento de señales.

Principales métodos:

Análisis conceptual de entornos ricos en datos en sistemas de sensores.
Revisión de las teorías de procesamiento de señales existentes en el contexto de big data.

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Exploración de posibles adaptaciones del diseño del sistema.

Principales resultados:

El diluvio de datos requiere una reinvención fundamental del diseño del sistema de sensores.
Las teorías de procesamiento de señales existentes requieren actualizaciones significativas para administrar vastos conjuntos de datos.
Los nuevos enfoques son cruciales para utilizar eficazmente la información de los sistemas de detección ricos en datos.

Conclusiones:

Reinventar los sistemas de sensores y el procesamiento de señales es esencial para manejar el diluvio de datos.
La adaptación exitosa desbloqueará radicalmente nuevas tecnologías de la información.
Esta evolución promete nuevas herramientas poderosas para el descubrimiento científico y la explotación de datos.