A Bias-Compensated Identification Approach for Noisy FIR Models

摘要

A new bias-compensated least-squares method for identifying finite impulse response (FIR) models whose input and output are affected by additive white noise is proposed. By exploiting the statistical properties of the equation error of the noisy FIR syste