System and method for adaptive multi-sensor arrays
AssigneeSiemens Medical Solutions USA, Inc.
InventorsRadu Victor Balan, Justinian Rosca, Liang Hong, Volkmar Hamacher, Eghart Fischer
Life of this patent
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Abstract
An adaptive differential microphone array method comprises receiving a signal, estimating a measured signal spectral covariance matrix of the signal, and estimating a direction of arrival of the signal based on the measured signal spectral covariance matrix of the signal. The method further comprises determining a fractional delay, and applying a differential microphone array filter to the signal based on the direction of arrival and the fractional delay.
Claims16
An adaptive differential microphone array method comprises:
- receiving a signal;
- estimating a measured signal spectral covariance matrix of the signal;
- estimating a direction of arrival of the signal based on the measured signal spectral covariance matrix of the signal;
- determining a fractional delay;
- and
- applying a differential microphone array filter to the signal based on the direction of arrival and the fractional delay.
An adaptive differential microphone array method comprises:
- receiving a signal;
- estimating a measured signal spectral covariance matrix of the signal;
- estimating a direction of arrival of the signal;
- determining a presence of a source of interest in the signal based on the direction of arrival of the signal, a noise spectral covariance matrix of the signal, and a source signal spectral power of the signal;
- estimating the noise spectral covariance matrix based on a determination of the presence of the source of interest and the measured signal spectral covariance matrix of the signal;
- estimating a source signal spectral power of the signal according to the presence of the source of interest the noise spectral covariance matrix and the noise spectral covariance matrix;
- and
- applying a differential microphone array filter to signal according to the direction of arrival, the noise spectral covariance matrix, and the source signal spectral power of the signal.
A digital processor for reducing a noise portion of a signal comprising:
- means for estimating a measured signal spectral covariance matrix of the signal;
- means for estimating a direction of arrival of the signal;
- and
- a differential microphone array filter.
A program storage device readable by machine, tangibly embodying a program of instructions executable by the machine to perform method steps for an adaptive differential microphone array method, the method steps comprising:
- receiving a signal;
- estimating a measured signal spectral covariance matrix of the signal;
- estimating a direction of arrival of the signal based on the measured signal spectral covariance matrix of the signal;
- determining a fractional delay;
- and
- applying a differential microphone array filter to the signal based on the direction of arrival and the fractional delay.
A program storage device readable by machine, tangibly embodying a program of instructions executable by the machine to perform method steps for an adaptive differential microphone array method, the method steps comprising:
- receiving a signal;
- estimating a measured signal spectral covariance matrix of the signal;
- estimating a direction of arrival of the signal;
- determining a presence of a source of interest in the signal based on the direction of arrival of the signal, a noise spectral covariance matrix of the signal, and a source signal spectral power of the signal;
- estimating the noise spectral covariance matrix based on a determination of the presence of the source of interest and the measured signal spectral covariance matrix of the signal;
- estimating a source signal spectral power of the signal according to the presence of the source of interest the noise spectral covariance matrix and the noise spectral covariance matrix;
- and
- applying a differential microphone array filter to signal according to the direction of arrival, the noise spectral covariance matrix, and the source signal spectral power of the signal.
Dependencies are inferred from the claim text.