Abstract
Array signal processing is a very rich area for applications of higher-order statistics. This paper provides a short overview of: cumulant-based blind beamforming, virtual cross-correlation computer, the virtual ESPRIT algorithm (VESPA), waveform recovery, and suppression of non-Gaussian noise, all of which represent novel applications of higher-order statistics, and in all cases provide solutions to problems that either could not be solved before or can now be solved better than before.
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.
