# fircls1

Constrained-least-squares linear-phase FIR lowpass and highpass filter design

## Syntax

## Description

## Examples

## Input Arguments

## Output Arguments

## Algorithms

The `fircls1`

function uses an iterative least-squares algorithm to
obtain an equiripple response. The algorithm is a multiple exchange algorithm that uses
Lagrange multipliers and Kuhn-Tucker conditions on each iteration.

## References

[1] Selesnick, I. W., M. Lang, and C.
S. Burrus. “Constrained Least Square Design of FIR Filters without Specified Transition
Bands.” *Proceedings of the 1995 International Conference on Acoustics,
Speech, and Signal Processing.* Vol. 2, 1995, pp. 1260–1263.

[2] Selesnick, I. W., M. Lang, and C.
S. Burrus. “Constrained Least Square Design of FIR Filters without Specified Transition
Bands.” *IEEE ^{®} Transactions on Signal Processing*. Vol. 44, Number 8, 1996, pp.
1879–1892.

## Extended Capabilities

## Version History

**Introduced before R2006a**