Matrix spectral factorization for data compression, filtering, wireless communications, and radar systems

Patent metadata

Field	Value
Publication number	US-9318232-B2
Application number	US-98973609-A
Country	US
Kind code	B2
Filing date	May 1, 2009
Priority date	May 2, 2008
Publication date	Apr 19, 2016
Grant date	Apr 19, 2016

Abstract

A new apparatus, system, and technique for performing Matrix Spectral Factorization has been developed, which can factorize in real time high-dimensional matrices with high-order polynomial or non-rational entries. The method can be used for efficient implementation of engineering solutions to problems in Data Compression, Filtering, Wireless Communications, and Radar Systems, etc., which are computationally reducible to matrix spectral factorization.

First claim

We claim:

1. An apparatus, comprising:
a receiver configured to receive a signal input;
a processor configured to perform Wiener filtering on the received signal even when the received signal is describable with a multi-dimensional matrix with up to infinite order polynomial or non-rational entries; and
a transmitter configured to provide a real-time output of the filtering,
wherein the Wiener filtering employs matrix spectral factorization, and
wherein the matrix spectral…

Assignees

• Ephremides Anthony
• Janashia Gigla
• Janashia Levan
• Ephremidze Lasha
• Lagvilava Edem
• Univ Maryland

Inventors

• Ephremides Anthony
• Janashia Gigla
• Ephremidze Lasha
• Lagvilava Edem

Classifications

• G06F17/16

  Physics · mapped topic

• H04N19/635

  Electricity · mapped topic

• H01B1/10 Primary

  Electricity · mapped topic