Claims Analysis
Total Claims: 2
Claim 1
Independent Claim
344 words
An active noise cancellation system, comprising: means for generating one or more reference signals (x(n)) proportional to noise in a target area; electronic means (1) having adjustable transfer functions (W), including adaptive filters, to receive the one or more reference signals (x(n)) and to generate noise cancellation signals (y(l,n)); a plurality of sound sources (2) to receive the noise cancellation signals (y(l,n)) and to generate cancellation noise in the target area for at least partial cancellation of the noise present therein; a plurality of sensors (3) for detecting residual noise in the target area and converting it to electrical residual noise signals (e(m,n)); transmission path means having an estimated transfer function (c') of the transmission path between each of the plurality of sound sources (2) and each of the plurality sensors (3), to receive the one or more reference signals (x(n)) and to provide output signals; tuning means (5) to receive the electrical residual noise signals (e(m,n) and the output signals from the transmission path means (4) and to generate tuning signals (w) and transmit them to the electronic means (1) for tuning the adjustable transfer function (W) thereof; and second tuning means (6) to receive both the cancellation noise signals (y(l,n)) and the residual noise signals (e(m,n)) and to generate second tuning signals (c) and feed them back to the transmission path means (4) for tuning the estimated transfer functions (C') thereof, where l is a coefficient for L sound sources (2), m is a coefficient for M sensors (3), and n is a coefficient for time in the transfer functions, the second tuning means (6) generating the second tuning signals (c) in response to new values (c'(l,m,j,n+l), which are determined by an algorithm, where c'(l, m, j, n+l)=c'(l, m, j, n)+ ##EQU9## wherein β is an adaptation coefficient, where j is a the coefficient of the transfer function i modeled with an FIR filter at time n, J is the length of the FIR filter used to model the transfer function, h is a coefficient of the transfer function at time n.
Claim 2
Dependent Claim
344 words
An active noise cancellation system, comprising: means for generating one or more reference signals (x(n)) proportional to noise in a target area; electronic means (1) having adjustable transfer functions (W), including adaptive filters, to receive the one or more reference signals (x(n)) and to generate noise cancellation signals (y(l,n)); a plurality of sound sources (2) to receive the noise cancellation signals (y(l,n)) and to generate cancellation noise in the target area for at least partial cancellation of the noise present therein; a plurality of sensors (3) for detecting residual noise in the target area and converting it to electrical residual noise signals (e(m,n)); transmission path means having an estimated transfer function (c') of the transmission path between each of the plurality of sound sources (2) and each of the plurality sensors (3), to receive the one or more reference signals (x(n)) and to provide output signals; tuning means (5) to receive the electrical residual noise signals (e(m,n) and the output signals from the transmission path means (4) and to generate tuning signals (w) and transmit them to the electronic means (1) for tuning the adjustable transfer function (W) thereof; and second tuning means (6) to receive both the cancellation noise signals (y(l,n)) and the residual noise signals (e(m,n)) and to generate second tuning signals (c) and feed them back to the transmission path means (4) for tuning the estimated transfer functions (C') thereof, where l is a coefficient for L sound sources (2), m is a coefficient for M sensors (3), and n is a coefficient for time in the transfer functions, the second tuning means (6) generating the second tuning signals (c) in response to new values (c'(l,m,j,n+l), which are determined by an algorithm, where c'(l, m, j, n+l)=c'(l, m, j, n)+ ##EQU9## wherein β is an adaptation coefficient, where j is a the coefficient of the transfer function i modeled with an FIR filter at time n, J is the length of the FIR filter used to model the transfer function, h is a coefficient of the transfer function at time n.