ENSEMBLE SUPERPIXEL BASED COMPRESSION COMPLEXITY REDUCTION

Abstract: compression complexity reduction and, specifically, superpixel clustering, ensemble learning, and autoencoders for reducing feedback compression complexity may be provided. compression complexity reduction can include receiving a null data packet (ndp) from an access point (ap). a feedback matrix is generated in response to receiving the ndp. one or more superpixel cluster configurations are determined for the feedback matrix using an ensemble learning technique. a compressed matrix is generated based on the one or more superpixel cluster configurations and using an autoencoder, and the compressed matrix is sent to the ap.

Inventor(s): Eric S. Liang, Juan Carlos Zuniga, Matthew A. Silverman, Qihong Shao

CPC Classification: G06N20/20 (Ensemble learning)

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