Browsing by Author "Menguc, Engin Cemal"
Now showing items 1-11 of 11
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An adaptive noise canceller based on QLMS algorithm for removing EOG artifacts in EEG recordings
Menguc, Engin Cemal; Acır, Nurettin (Ieee, 2017)In this paper, a novel adaptive noise canceller (ANC) based on the quaternion valued least mean square algorithm (QLMS) is designed in order to remove electrooculography (EOG) artifacts from electroencephalography (EEG) ... -
An Augmented Complex-Valued Least-Mean Kurtosis Algorithm for the Filtering of Noncircular Signals
Menguc, Engin Cemal; Acır, Nurettin (Ieee-Inst Electrical Electronics Engineers Inc, 2018)In this paper, a novel augmented complex-valued least-mean kurtosis (ACLMK) algorithm is proposed for processing complex-valued signals. The negated kurtosis of the complex-valued error signal is defined as a cost function ... -
An augmented complex-valued Lyapunov stability theory based adaptive filter algorithm
Menguc, Engin Cemal; Acır, Nurettin (Elsevier, 2017)A novel augmented complex-valued Lyapunov stability theory (LST) based adaptive filter (ACLAF) algorithm is proposed for the widely linear adaptive filtering of noncircular complex-valued signals. After a candidate Lyapunov ... -
Complex-Valued Least Mean Kurtosis Adaptive Filter Algorithm
Menguc, Engin Cemal; Acır, Nurettin (Ieee, 2016)In this study, a complex-valued least mean Kurtosis (CLMK) adaptive filter algorithm is designed for processing complex-valued signals. The performance of the designed algorithm is tested on a complex-valued system ... -
A generalized Lyapunov stability theory-based adaptive FIR filter algorithm with variable step sizes
Menguc, Engin Cemal; Acır, Nurettin (Springer London Ltd, 2017)This paper presents a novel approach to Lyapunov stability theory-based adaptive filter (LAF) design. The proposed design is based on the minimization of the Euclidean norm of the difference weight vector under negative ... -
Kurtosis-Based CRTRL Algorithms for Fully Connected Recurrent Neural Networks
Menguc, Engin Cemal; Acır, Nurettin (Ieee-Inst Electrical Electronics Engineers Inc, 2018)In this paper, kurtosis-based complex-valued real-time recurrent learning (KCRTRL) and kurtosis-based augmented CRTRL (KACRTRL) algorithms are proposed for training fully connected recurrent neural networks (FCRNNs) in the ... -
LYAPUNOV THEORY BASED ADAPTIVE LEARNING ALGORITHM FOR MULTILAYER NEURAL NETWORKS
Acır, Nurettin; Menguc, Engin Cemal (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 New Approach to Channel Equalization Problem
Menguc, Engin Cemal; Acır, Nurettin (Ieee, 2015)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 ... -
A novel adaptive filter design using Lyapunov stability theory
Menguc, Engin Cemal; Acır, Nurettin (Tubitak Scientific & Technical Research Council Turkey, 2015)This paper presents a new approach to design an adaptive filter using Lyapunov stability theory. The design procedure is formulated as an inequality constrained optimization problem. Lagrange multiplier theory is used as ... -
Prediction of Complex-Valued Signals by Using Complex-Valued LMK Algorithm
Menguc, Engin Cemal; Acır, Nurettin (Ieee, 2017)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 ... -
Real-Time Implementation of Lyapunov Stability Theory-Based Adaptive Filter on FPGA
Menguc, Engin Cemal; Acır, Nurettin (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 ...
