Audio Noise Cancellation using Wiener Filter based LMS Algorithm using LabVIEW
نویسندگان
چکیده
In this paper we designed a least mean square (LMS) adaptive filter to remove the unwanted noise which might occur during music recordings, echo in telephone networks, etc. Generally all LMS algorithm starts with an assumption of weight vector as zero initially and iteration continues till the error is minimized till its optimum level. This takes much more time to compute the optimized coefficients. In our work we designed the Wiener Filter using Wiener-Hopf equation. Then the LMS algorithm is used to optimize the coefficients. In this method it is observed that less number of iterations is sufficient. Since Wiener-Hopf equation is basically considered for the problem of designing the filter that would produce the minimum mean square error of the desired signal, this will produce the optimized estimate. Keywords— Audio Noise Cancellation, Wiener Filter, LMS Algorithm, NI LabVIEW
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