A systematic approach to adaptive algorithms for multichannel system identification, inverse modeling, and blind identification

Joho, M.

doi:10.3929/ethz-a-004063754

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

A systematic approach to adaptive algorithms for multichannel system identification, inverse modeling, and blind identification

Cited by 6 publications

References 69 publications

Combined blind/nonblind source separation based on the natural gradient

Combined blind/nonblind source separation based on the natural gradient

Mean square error analyses of multichannel blind deconvolution algorithms

On frequency-domain implementations of filtered-gradient blind deconvolution algorithms

Contact Info

Product

Resources

About