A nonlinear analysis method based on an extended Kalman filter (EKF) is derived to estimate the FM synthesis parameters corresponding to a given digitized sound input. Previously these parameters could only be obtained by manual trial and error. After a transmission of the nonlinear state and parameter space implied by FM synthesis, and the apparent error effects, the EKF is derived. Results are compared for accuracy in the frequency domain, and on a subjective basis.

Author: Risberg, Jeffrey S.
Affiliation: Yale University, New Haven, CT
AES Convention: 67 (October 1980) Paper Number: 1685
Publication Date: October 1, 1980 Import into BibTeX
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=3691

Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!

This paper costs $33 for non-members and is free for AES members and E-Library subscribers.

Learn more about the AES E-Library

E-Library Location: (CD aes9)   /pp7680/pp8010/1773.pdf

Start a discussion about this paper!