Determines whether the specified Object is equal to the current Object.

Returns a vector of exponentially weighted moving average (EWMA) coefficients of length n.

Serves as a hash function for a particular type.

Gets the Type of the current instance.

Constructs the coefficient vector that implements a moving average filter when used with the MovingWindowFilter class.

Constructs the coefficient vector that implements a Savitzky-Golay smoothing filter when used with the MovingWindowFilter class. The algorithm is also known by the terms, least-squares, or DIgital Smoothing POlynomial (DISPO). The filter coefficients, c(n) are chosen so as to approximate the underlying function in the window [i - nL, i + nR] with a polynomial, typically quadratic or quartic, and replace the point f(i) with the value of the approximating polynomial at i. The polynomial is fit using a least squares algorithm.

Sets the parameters for this filter.

Returns a String that represents the current Object.