Redirigiendo al acceso original de articulo en 24 segundos...
ARTÍCULO
TITULO

ADAPTIVE MODULATION AND MIMO CODING FOR BROADBAND WIRELESS DATA NETWORKS

Catreux    
S. Erceg    
V. Gesbert    
D. Heath    
R. W.    

Resumen

No disponible

 Artículos similares

       
 
Camilo Riano-Rios, Alberto Fedele and Riccardo Bevilacqua    
In this paper, relative orbit and attitude adaptive controllers are integrated to perform roto-translational maneuvers for CubeSats equipped with a Drag Maneuvering Device (DMD). The DMD enables the host CubeSat with modulation of aerodynamic forces/torq... ver más
Revista: Applied Sciences

 
Hwai-Tsu Hu, Ying-Hsiang Lu     Pág. 18 - 32
This paper presents a lifting wavelet transform (LWT)-based blind audio watermarking scheme designed for tampering detection and self-recovery. Following 3-level LWT decomposition of a host audio, the coefficients in selected subbands are first partition... ver más

 
Yanbo Wu, Yan Yao, Ning Wang and Min Zhu    
This study proposes a novel receiver structure for underwater vertical acoustic communication in which the bias in the correlation-based estimation for the timing offset is learned and then estimated by a deep neural network (DNN) to an accuracy that ren... ver más
Revista: Applied Sciences

 
Lavinia Chiara Tagliabue, Fulvio Re Cecconi, Nicola Moretti, Stefano Rinaldi, Paolo Bellagente and Angelo Luigi Camillo Ciribini    
The current perspective about urban development expects 70% of energy consumption will be concentrated in the cities in 2050. In addition, a growing density of people in the urban context leads to the need for increased security and safety for citizens, ... ver más
Revista: Applied Sciences

 
Habib Benbouhenni,Zinelaabidine Boudjema,Abdelkader Belaidi     Pág. 17 - 28
In this paper, we propose an advanced control scheme using neural second order sliding mode (NSOSMC) and adaptive neuro-fuzzy inference system space vector modulation (ANFIS-SVM) strategy for a doubly fed induction generator (DFIG) integrated into a wind... ver más