A tree-systolic array of DLMS adaptive filter

In this work, we develop an optimized binary tree-level rule for the design of a systolic array structure of a delay least mean square (DLMS) adaptive filter. Using the developed method, a higher convergence rate can be obtained without sacrificing the properties of the systolic array structure. Also, based on the optimized tree rule, the user can easily design any even-number tap adaptive system with minimum delay and high regularity under the constraints of maximum driving and the total number of taps.