Abstract
The synthesis of infinite memory digital filters for the operations of smoothing, filtering, prediction and differentiation is described. In the design, constraints are developed using a polynomial approximation to the signal. The noise is then minimized subject to the constraints using the method of Lagrangian multipliers.
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