# fircls

Constrained-least-squares FIR multiband filter design

## Description

## Examples

## Input Arguments

## Output Arguments

## Algorithms

The `fircls`

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**