Power-Efficient Linear Phase FIR Notch Filter Design Using the LARS Scheme

摘要

In this paper, an effective paradigm based on the Least Angle Regression (LARS) scheme is developed to iteratively compute the power-efficient linear phase FIR notch filters. At each iteration, we compute the equiangular vector and the step size to be taken which are then used to modify our previous prediction of the filter coefficients along the computed equiangular direction. The iteration of the LARS scheme stops when the error defined as the L_2-norm of the difference between the computed prediction of the notch filter and the desired notch filter is less than the pre-chosen design error ε. The simulation results demonstrate that the proposed LARS scheme is an effective paradigm to compute power-efficient linear phase notch FIR filters.