A delta -operator recursive gradient algorithm for adaptive signal processing

The authors investigate how the delta operator can be used in adaptive signal processing and its numerical advantages in identifying LDLF (lightly damped low-frequency) poles. A delta recursive gradient algorithm is developed, and its local convergence speed is analyzed. Computer simulations show drastic improvement in convergence speed over the q-operator-based algorithms for LDLF poles.<<ETX>>