Subtractive cancellation of harmonic noise
A Kalman filter and sinusoidal perturbation technology, applied in speech analysis, speech recognition, instruments, etc., can solve problems such as slowing down estimation, not saving the content of the information spectrum, and the estimator cannot track changes in amplitude and phase
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[0031] compensation method
[0032] Refer below figure 1 The global compensation method of the present invention is described, which proposes to cancel the noise in the perturbed signal by adding a reference noise.
[0033] from figure 1 It can be seen that the proposed method estimates (2) and tracks the following parameters for each disturbance: in-phase amplitude, quadrature amplitude and frequency. This estimation is done recursively by an extended Kalman filter. Subsequently, based on the three estimated parameters (3), a reference signal (5) is generated (4) and subtracted (6) from the perturbed signal (1) to compensate for the Sinusoidal disturbance (9).
[0034] The reference signal used is an artificial signal (5) generated from a noise model (4) This artificial signal represents an estimate of the actual disturbance noise (9) superimposed on the information-bearing signal (8) s(n). The estimation of the reference signal (2) is done indirectly by determining th...
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