c[n] d[n] y[n] x[n] 0 oe[n] w[n] Figure Q3b) 4 marks You are utilising a generic and correct implementation of the least
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c[n] d[n] y[n] x[n] 0 oe[n] w[n] Figure Q3b) 4 marks You are utilising a generic and correct implementation of the least
c[n] d[n] y[n] x[n] 0 oe[n] w[n] Figure Q3b) 4 marks You are utilising a generic and correct implementation of the least mean squares (LMS) algorithm for the system identification setup of Figure Q3b) with an uncorrelated input x[n]. What adjustments might be necessary in the following situations? Justify your answers. (0) The error e[n] diverges. (ii) The error e[n] neither converges nor diverges.
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