Abstract
One-dimensional adaptive lattice (1-D AL) filters have been used in a wide range of signal processing applications because they provide convergence advantages not obtainable with conventional adaptive finite impulse response (FIR) filters. To extend these advantages to two-dimensional signal processing, a proposed structure for the two-dimensional adaptive lattice (TDAL) is presented. The TDAL structure, of order L × L, consists of L rows of the linear prediction lattice (LPL), each LPL is of order L— 1 and is a function of z 2. The signal input to the ith LPL is processed by z 1 −1 where 0≤i≤−1 The LMS adaptive algorithm, which is easy lo implement, is used to update the structure coefficients. Analysis and experiments are provided to prove the advantages of the proposed structure over the conventional adaptive 2-D FIR structure.
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