Adaptive Noise Cancellation and Blind Source Separation
نویسندگان
چکیده
The use of adaptive noise cancellers (ANCs) to reduce the noise level prior to source separation is investigated in this paper. The foetal electrocardiogram (ECG) extraction problem in particular is addressed, which as well as with noise, is compounded by the non-stationary nature of the measurements. Consequently, computer simulations show that the combined Kalman filter and natural gradient algorithm [1], cascaded with a parallel ANC network, leads to a technique that can significantly improve separation performance. Moreover, it is shown that in some cases, the performance of the method is better than that of the JADE algorithm [2].
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