Other

Jaime R Roman

Dennis W Davis

James H Michels

Processing methods and associated hardware architectures for the spatio-temporal processing of phased array sensor signals are disclosed. The processing method employs a joint spatio-temporal domain processing approach. The disclosed method is an optimal estimation scheme which exhibits significantly reduced computational burden. Suppression of interference sources at angles-of-arrival other than the desired signal is achieved implicitly. The associated system architecture provides not only the ability to achieve good joint angle-Doppler estimates, but offers the ability to easily trade the relative performance in each domain. The disclosed approach emphasizes the use of multiple hypothesis testing with spatio-temporal whitening filters.

Method and apparatus for joint space-time array signal processing

The invention is directed to a method and associated system for the detection of various physiological features in multichannel sensor data. Truth data organized in the form of a vector sequence is used to generate a multichannel state variable model for data that is known to lack physiological features of interest. Such state variable models are obtained using one or more of a host of system identification algorithms. Upon identification of the model parameters, a multichannel inverse filter is derived from the model parameters. The inverse filter can be used to whiten or decorrelate components of sensor data sequences that are not associated with the physiological features of interest. The unwhitened output of the inverse filter then represents the physiological features of interest that can be extracted from the concomitant white noise. On this basis, a number of such filters can be produced for a variety of undesired physiological feature components of the data that occur separately or in combination. The invention is useful for the extraction of known and unknown features of interest from multichannel physiological sensor data.

Method and system for extraction and detection of physiological features

The invention described herein is directed to a method and associated system for the detection of various physiological conditions using multichannel sensor data. Truth data organized in the form of a vector sequence is used to generate a multichannel state variable model for a given known physiological condition. Such state variable models are obtained using one or more of a host of system identification algorithms. Upon identification of the model parameters, a multichannel inverse filter is derived from the model parameters. The inverse filter can be used to whiten or decorrelate sensor data sequences that are associated with the given physiological condition. The degree of whitening is a measure of the match of an unknown physiological condition with that physiological condition represented by the data used to generate the filter. On this basis, a number of such filters can be produced for a variety of physiological conditions. In a preferred embodiment, these filters operate in parallel on a given multichannel data sequence that represents an unknown physiological condition. The outputs of these filters are used in a hypothesis testing formulation to determine the identity of the physiological condition represented by the data under test.

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Palm Beach Gardens, FL, United States of America

Jaime R Roman