Felix A Rosenthal

59179198, Jun 29, 1999

Dec 3, 1996

8/759769

Felix Rosenthal - Annandale VA

H03B 2900

381 7111

The present invention is directed to a system and method for feed-forward active control of noise and vibration. In operation, at least one of noise and vibration from potential noise and vibration sources are detected, and noise reference data based on the detection of noise and vibration from the potential noise and vibration sources is generated. Further, at least one of noise and vibration at a selected environment in which noise and vibration are to be minimized are also detected, whereby error data based on the detection of noise and vibrations at the selected environment is generated. Filter constants are generated based on the noise reference data and the error data, wherein the generating of the filter constants includes the elimination of redundancies in the noise reference data. The noise reference data is processed based on the generated filter constants, whereby noise/vibration canceling outputs based on the processed noise reference data is generated to minimize energy of the noise and vibration detected at the selected environment.

52092372, May 11, 1993

May 24, 1991

7/705493

Felix Rosenthal - Annandale VA

A61B 50444

128698

To provide an accurate reproduction of a signal detected in a noisy environment, a primary signal sensor and a plurality of "signal-free" reference sensors are used. Information collected from the primary sensor and the reference sensors is compared to derive correlation data. A matrix, representing correlation data in the time domain or cross-spectral density information in the frequency domain, is constructed based on the computed correlation data. The matrix is transformed to a diagonal matrix using a singular value decomposition algorithm and a threshold value is selected with reference to one of the larger eigenvalues of the diagonalized matrix. Components of the diagonalized matrix are compared to the threshold and values greater than the threshold are used together with primary sensor correlation data to compute Wiener filter constants. The reference sensor outputs are modified by the filter constants and modified sensor outputs are subtracted from the primary sensor output. A noise-cancelled output signal is then synthesized.