Now showing items 21-25 of 25
LYAPUNOV THEORY BASED ADAPTIVE LEARNING ALGORITHM FOR MULTILAYER NEURAL NETWORKS
(Acad Sciences Czech Republic, Inst Computer Science, 2014)
This paper presents a novel weight updating algorithm for training of multilayer neural network (MLNN). The MLNN system is first linearized and then the design procedure is proposed as an inequality constraint optimization ...
A novel system for automatic removal of ocular artefacts in EEG by using outlier detection methods and independent component analysis
(Pergamon-Elsevier Science Ltd, 2017)
ElectroEncephaloGram (EEG) gives information about the electrical characteristics of the brain. EEG can be used for various applications, such as diagnosis of diseases, neuroscience and Brain Computer Interface (BCI). ...
Real-Time Implementation of Lyapunov Stability Theory-Based Adaptive Filter on FPGA
(Ieice-Inst Electronics Information Communications Eng, 2016)
The Lyapunov stability theory-based adaptive filter (LST-AF) is a robust filtering algorithm which the tracking error quickly converges to zero asymptotically. Recently, the software module of the LST-AF algorithm is ...
Prediction of Complex-Valued Signals by Using Complex-Valued LMK Algorithm
In this study, the adaptive prediction of complex valued signals has been realized by using the complex-valued least mean Kurtosis (CLMK) algorithm. The prediction performance of the CLMK algorithm has been evaluated on ...
A New Approach to Channel Equalization Problem
In this study, a new approach based on Lyapunov stability theory (LST) is proposed for channel equalization problem. For the first time, the convergence capability of the proposed algorithm is presented on the channel ...