User`s guide

15 Filter Design Toolbox 2.1 Release Notes
15-2
New Features
This section introduces the new features and enhancements added in the Filter
Design Toolbox 2.1 since Filter Design Toolbox 2.0 (Release 12).
For information about Filter Design Toolbox features that are incorporated
from recent releases, see the Release Notes for Release 12.
New Adaptive Filtering Functions
The Filter Design Toolbox 2.1 includes these new filter design functions:
•adaptkalman — Use a Kalman filtering algorithm in an adaptive filter role
•
adaptlms – Use an LMS-based adaptive algorithm in an adaptive filter role
•
adaptnlms – Use a normalized LMS-based adaptive algorithm in an adaptive
filter role
•
adaptrls – Use an RLS-based adaptive algorithm in an adaptive filter role
•
adaptsd – Use the sign-data variant of the LMS-based adaptive algorithm in
an adaptive filter role
•
adaptse – Use the sign-error variant of the LMS-based adaptive algorithm
in an adaptive filter role
•
adaptss — Use the sign-sign variant of the LMS-based adaptive algorithm
in an adaptive filter role
To support you when you use these new functions, the Toolbox includes
corresponding functions for initializing the associated adaptive filter
algorithm.
•
initkalman — Initialize the input argument s for the Kalman-based
algorithm adaptive filter function
•
initlms — Initialize the input argument s for the LMS-based adaptive filter
function
•
initnlms — Initialize the input argument s for the normalized LMS-based
adaptive filter function
•
initrls — Initialize the input argument s for the RLS-based adaptive filter
function
•
initsd — Initialize the input argument s for the sign-data variant of the
LMS-based adaptive filter function