ARTÍCULO
TITULO

Blind Signal Processing by Complex Domain Adaptive Spline Neural Networks

Uncini    
A. Piazza    
F.    

Resumen

No disponible

 Artículos similares

       
 
Shiyu Guo, Mengna Shi, Yanqi Zhou, Jiayin Yu and Erfu Wang    
As the main method of information transmission, it is particularly important to ensure the security of speech communication. Considering the more complex multipath channel transmission situation in the wireless communication of speech signals and separat... ver más
Revista: Algorithms

 
Zhiyang He, Weidong Cheng, Jiqiang Xia, Weigang Wen and Meng Li    
With the development of industrial robots and other mechanical equipment to a higher degree of automation, mechanical systems have become increasingly complex. This represents a huge challenge for condition monitoring. The separation of vibration source ... 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

 
Kanghyu Lee, Junmuk Lee, Changwoo Ha, Minseok Han and Hanseok Ko    
Driver assistance systems are a major focus of the automotive industry. Although technological functions that help drivers are improving, the monitoring of driver state functions receives less attention. In this respect, the human heart rate (HR) is one ... ver más
Revista: Applied Sciences

 
Guoyang Teng, Xiaojun Zhou, Chenlong Yang and Xiang Zeng    
Discrete defects in thick composites are difficult to detect for the small size and the structure noise that appears in multilayer composites. In this paper, a nonlinear method, called recurrence analysis, has been used for characterizing discrete defect... ver más
Revista: Applied Sciences