A 2-DIMENSIONAL ADAPTIVE LATTICE (TDAL) STRUCTURE FOR NOISE CANCELING

One-dimensional adaptive lattice (1-D AL) filters have been used in a wide range of signal processing applications because they provide conv ergence advantages not obtainable with conventional adaptive finite im pulse response (FIR) filters. To extend these advantages to two-dimens ional signal processing, a proposed structure for the two-dimensional adaptive lattice (TDAL) is presented. The TDAL structure, of order L x L, consists of L rows of the linear prediction lattice (LPL), each LP L is of order L - 1 and is a function of z(2). The signal input to the ith LPL is processed by z(1)(-i) where 0 less than or equal to i less than or equal to L - 1. The LMS adaptive algorithm, which is easy to implement, is used to update the structure coefficients. Analysis and experiments are provided to prove the advantages of the proposed struc ture over the conventional adaptive 2-D FIR structure.