Abstract
One of the recommended test methods in Analog to Digital testing standards is based on least square sine fitting algorithms. The parameter estimation provided by these algorithms is exposed to errors due to different causes. In particular convergence to local minimums of the error function is an open problem. In this paper we present new methods that improve results in sine wave parameter estimation when the frequency is unknown, assuring convergence even in the presence of saturation, noise or distortion. These new methods are also usable in other signal processing applications since they work without loss of quality when only one period of the input signal is acquired.
Sign-in/Register to access full text options 
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.
