Comparative study of LMS and RLS adaptive algorithms in the optimum combining of uplink W-CDMA

Martínez, Raquel; Cacho, A. Del; Haro, L. de; Calvo, Miguel

doi:10.1109/vetecf.2002.1040622

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

hi@scite.ai

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

Henderson, NV 89052, USA

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.

Comparative study of LMS and RLS adaptive algorithms in the optimum combining of uplink W-CDMA

Cited by 5 publications

References 2 publications

Adaptive Filtering for Power Quality Features with Optimized PI Gains in Four Wires UPQC

Adaptive Filtering for Power Quality Features with Optimized PI Gains in Four Wires UPQC

A Robust Least Mean Square Algorithm for Adaptive Array Signal Processing

Adaptive Beam Former Design Using RLS Algorithm for Smart Antenna System

Contact Info

Product

Resources

About