Abstract
The AR modeling is widely used in signal processing. The coefficients of AR model can be easily obtained by a LMS prediction error filter. However, it is known that such filter will give bias coefficients when the input signal is corrupted by noise. We proposes a new type of filter for adaptive AR modeling. It is shown that the new filter can converge to the Wiener solution without bias. Simulations are provided to demonstrate the results of the new filter. >
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