Constrained least squares design of FIR filters using iterative reweighted least squares

This paper presents a new application of the iterative reweighted least squared error algorithm to obtain a constrained least squares approximation for designing a linear phase FIR filter. A new method is given which has good initial convergence coupled with quadratic final convergence. We compare two methods of using the IRLS approach to the CLS problem.