Year-end Sale % OFF 
Abstract
The synthesis of infinite memory digital filters for the operations of smoothing, filtering, prediction and differentiation is described. In the design, constraints are developed using a polynomial approximation to the signal. The noise is then minimized subject to the constraints using the method of Lagrangian multipliers.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
