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Signal Processing Implementation of Weiner Filter Linear Model with Generic Filter Order

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Signal Processing Wiener-Filter

Objectives

• Wiener filter design
• Signal estimation
• Using signal models in signal prediction.
• Documentation with Latex.

Implementation

Given a distorted ECG signal. We have modelled the distortion as  follow
y(n) = cx(n) + v(n)
where y(n) is the distorted signal. x(n) is the source signal, and v(n) is WGN v(n) ∼ N (0, σ2). c = −3
and σ2 = 0.02
• Using provided model, build a third order Wiener filter.
• Apply this filter on the signal and show the  output.
• Calculate mean square error of filtered signal (Source signal is provided for that).

Report

Report in a tex file Includes
• Problem formulation
• Implementation detail
• Sample results

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