Design of multi-delay predictive filters using dynamic programming

Multi-delay predictive FIR filters utilizing a small number of multipliers are proposed. These filters are shown to have substantially lower noise gain than the standard minimum-length predictors using the same amount of multipliers. These filters are formulated for both arbitrary-order polynomial and sinusoidal signal prediction. The use of dynamic programming for the efficient optimization of these filters is proposed.