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In layman words [24] if we try to understand this filter, it is a polynomial based filter in which least square polynomial method find out the filtered signals with combinedly evaluating the neighbor signals. It can be computed for a signal such as S_j = f(t_j), (j = 1, 2, …, n) by following Equation (3.3).

(3.3)

Here, ‘m’ is frame span, c_i is no. of convolution coeffs. and Q is the resultant signal. ‘m’ is used to calculate instances of c_i with a polynomial. In our case, this was used to smoothen Neuro-signals by a frame size of 5 with a polynomial of degree 4.