MULTIPLE INTERACTING DVE ALGORITHM
    1.
    发明授权
    MULTIPLE INTERACTING DVE ALGORITHM 失效
    数字虚拟地球算法实现多重相互作用

    公开(公告)号:EP0655151B1

    公开(公告)日:2000-03-22

    申请号:EP92920567.2

    申请日:1992-09-15

    Abstract: A digital virtual earth (DVE) cancellation system which receives a phenomena input signal via multiple sensors (1, 2, 3) representing residual phenomena to be canceled, and has adaptive filters (12, 24, 25) for each of the multiple sensor/actuator pairs, (1, 4, 2, 5, 3, 6) which generate the appropriate cancellation signal (19, 20, 21) for the associated actuator (4, 5, 6). The multiple interacting DVE (MIDVE) algorithm estimates the noise at each sensor (1, 2, 3) by subtracting out the combined effects of each actuator signal (19, 20, 21) from the residual signal (16, 17, 18) at that sensor (1, 2, 3). This estimated noise signal is used to control the adaptive filters (12, 24, 25) associated with the subject actuator (4, 5, 6). These filters (12, 24, 25) receive the estimated noise as input. They then produce the cancellation signals by filtering the estimated noise with the filter weights. These weights are adapted using the residual signal (16, 17, 18) and the estimated noise convolved with the system impulse responses.

    MULTIPLE INTERACTING DVE ALGORITHM
    2.
    发明公开
    MULTIPLE INTERACTING DVE ALGORITHM 失效
    数字虚拟地球算法实现多重相互作用。

    公开(公告)号:EP0655151A1

    公开(公告)日:1995-05-31

    申请号:EP92920567.0

    申请日:1992-09-15

    Abstract: A digital virtual earth (DVE) cancellation system which receives a phenomena input signal via multiple sensors (1, 2, 3) representing residual phenomena to be canceled, and has adaptive filters (12, 24, 25) for each of the multiple sensor/actuator pairs, (1, 4, 2, 5, 3, 6) which generate the appropriate cancellation signal (19, 20, 21) for the associated actuator (4, 5, 6). The multiple interacting DVE (MIDVE) algorithm estimates the noise at each sensor (1, 2, 3) by subtracting out the combined effects of each actuator signal (19, 20, 21) from the residual signal (16, 17, 18) at that sensor (1, 2, 3). This estimated noise signal is used to control the adaptive filters (12, 24, 25) associated with the subject actuator (4, 5, 6). These filters (12, 24, 25) receive the estimated noise as input. They then produce the cancellation signals by filtering the estimated noise with the filter weights. These weights are adapted using the residual signal (16, 17, 18) and the estimated noise convolved with the system impulse responses.

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