Abstract: A signal detection and classification technique that provides robust decision criteria for a wide range of parameters and signals in the presence of noise and interfering signals. The technique uses dynamical models for deriving filters and classifiers optimized for a particular category of signals of interest. The dynamical filters and classifiers can be implemented based on nonlinear dynamical principles. The invention is able to efficiently reveal deterministic properties of observed data signals in a numerically fast and efficient manner.
Type:
Grant
Filed:
May 13, 2002
Date of Patent:
May 4, 2004
Assignee:
Nonlinear Solutions, Inc.
Inventors:
James B. Kadtke, Michael N. Kremliovsky
Abstract: A signal detection and classification technique that provides robust decision criteria for a wide range of parameters and signals strongly in the presence of noise and interfering signals. The techniques uses dynamical filters and classifiers optimized for a particular category of signals of interest. The dynamical filters and classifiers can be implemented using models based on delayed differential equations.
Type:
Grant
Filed:
August 17, 2001
Date of Patent:
May 13, 2003
Assignee:
Nonlinear Solutions, Inc.
Inventors:
James B. Kadtke, Michael N. Kremliovsky
Abstract: A signal detection and classification technique that provides robust decision criteria for a wide range of parameters and signals in the presence of noise and interfering signals. The technique uses dynamical models for deriving filters and classifiers optimized for a particular category of signals of interest. The dynamical filters and classifiers can be implemented based on nonlinear dynamical principles. The invention is able to efficiently reveal deterministic properties of observed data signals in a numerically fast and efficient manner.
Type:
Grant
Filed:
November 13, 1998
Date of Patent:
June 4, 2002
Assignee:
Nonlinear Solutions, Inc.
Inventors:
James B. Kadtke, Michael N. Kremliovsky
Abstract: A signal detection and classification technique that provides robust decision criteria for a wide range of parameters and signals strongly in the presence of noise and interfering signals. The techniques uses dynamical filters and classifiers optimized for a particular category of signals of interest. The dynamical filters and classifiers can be implemented using models based on delayed differential equations.
Type:
Grant
Filed:
June 26, 1998
Date of Patent:
August 21, 2001
Assignee:
Nonlinear Solutions, Inc.
Inventors:
James B. Kadtke, Michael N. Kremliovsky