Amanote Research

Amanote Research

    RegisterSign In

A Neural Network MLSE Receiver Based on Natural Gradient Descent: Application to Satellite Communications

doi 10.1109/isspa.2003.1224633
Full Text
Open PDF
Abstract

Available in full text

Date

January 1, 2003

Authors
M. IbnkahlaJ. Yuan
Publisher

IEEE


Related search

A New Wind Power Forecasting Approach Based on Conjugated Gradient Neural Network

Mathematical Problems in Engineering
MathematicsEngineering
2016English

The Potential for Application of GMDH to Fuzzy Classification of Satellite Image Based on Comparison With Neural Network.

Journal of the Japan society of photogrammetry and remote sensing
1994English

Evolutionary Robot Behaviors Based on Natural Selection and Neural Network

English

MLSE Receiver Using the Particle Filtering Over a Multipath Fading Channel

English

Neural Network Application Based on GIS and Matlab to Evaluation of Flood Risk

2013English

System Monitoring Traffic Density Application Based on Neural Network Algorithms

Asian Journal of Applied Sciences
2018English

Empirical Pricing Kernel Estimation Using a Functional Gradient Descent Algorithm Based on Splines

SSRN Electronic Journal
2012English

A Comprehensive Evaluation Approach Based on AHP-BP Neural Network for Resource Allocation in Distributed Satellite Cluster Network

DEStech Transactions on Computer Science and Engineering
2017English

Research on Risk Assessment of City Natural Disaster Based on Neural Network

2015English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy