Least Squared Error FIR Filter Design Using Spline Transition Functions

This paper proposes that the use of transition functions and transition bands of the ideal amplitude frequency response allows the analytical design of optimal least squared error linear phase FIR lowpass digital filters with an explicit control of the transition band edges. This is in contrast to the use of window functions which only implicitly control the transition band edges and which destroy the optimality of the approximation.