USA As Represented by Secretary of the Navy

David J Marchette

James W Bond

Thomas W Schlosser

Carey E Priebe

An interference suppression system utilizes an adaptive locally optimum detection algorithm derived from kernel estimation. By utilizing this algorithm in the processor of the invention, fewer receive samples are required to obtain useful estimates of required probability density functions. The new adaptive locally optimum detection algorithm is useable in applications involving very high sampling rates and is thus suitable for rapidly and radically changing interference environments encompassing a wide range of frequencies.

Kernel adaptive interference suppression system

A two-dimensional interference suppression system utilizes adaptive locally optimum detection algorithms derived from kernel estimation. By using these algorithms in the process of the invention, fewer receive samples are required to obtain useful estimates of probability density functions. The new adaptive locally optimum detection algorithms lend themselves to use with simple processors permitting applications involving very high sampling rates.

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San Diego, CA, United States of America

David J Marchette