Elektrik Elektronik Mühendisliği Bölümü Yayın Koleksiyonu by Institution Author "Acır, Nurettin"
Now showing items 1-19 of 19
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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 ... -
Automatic removal of ocular artefacts in EEG signal by using independent component analysis and artificial neural network
Cinar, S.; Menguc, E.C.; Acır, Nurettin (Institute of Electrical and Electronics Engineers Inc., 2017)Ocular artefacts caused by eye movements can distort Electroencephalogram (EEG) recordings. It is important to obtain clean EEG signals in diagnosing and interpreting diseases. Meaningful EEG signals should not be distorted ... -
Automatic Removal of Ocular Artefacts In EEG Signal by Using Independent Component Analysis and Chauvenet Criterion
Cinar, Salim; Acır, Nurettin (Ieee, 2015)Eye movements (saccade, blink and cause artefacts in Electroencephalogram recordings. The ocular artefact can distort the EEG signals. Removal of ocular artefact is important issue in EEG signal analysis. The main task of ... -
Capsule Network for Finger-Vein-based Biometric Identification
Gumusbas, Dilara; Yildirim, Tulay; Kocakulak, Mustafa; Acır, Nurettin (Ieee, 2019)Most of the recent researches have determined that finger-vein identification systems have begun to change their direction from hand-crafted feature extraction to automatic feature extraction methods, such as convolutional ... -
A Complex-Valued Adaptive Filter Algorithm for System Identification Problem
Mengguc, Engin Cemal; Acır, Nurettin (Ieee, 2015)In this study, a complex-valued adaptive filter algorithm based on Lyapunov stability theory is presented to solve a system identification problem in the complex domain. The performance of the proposed complex-valued ... -
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 ... -
Deep Neural Network Training with iPSO Algorithm
Kosten, Mehmet Muzaffer; Barut, Murat; Acır, Nurettin (Ieee, 2018)Deep learning-based methods are frequently preferred in many areas in recent years. Another issue, which is as important as deep neural networks applications, is the training of deep neural networks. Although many techniques ... -
EEG Sinyallerinden EOG Gürültülerini Yok Etmek için Lineer ve Geniş Lineer Kompleks Değerli En Küçük Ortalama Kare Algoritmaları Tabanlı Bir Adaptif Gürültü Yok Etme Sistemi
Bu çalışmada, elektroensefalografi (EEG) sinyallerinden elektrookülografi (EOG) gürültülerinin çıkarılması için lineer ve geniş lineer kompleks değerli en küçük ortalama kare algoritmaları tabanlı bir adaptif gürültü yok ... -
Frequency Estimation Methods for Smart Grid Systems
Mengüç, Engin Cemal; Acır, Nurettin (Springer, 2018)Frequency is one of the most significant parameters in the smart grid systems. Thus, accurate frequency estimation becomes an essential task for monitoring, controlling and protecting a real-time smart grid system. In this ... -
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 ... -
A novel system for automatic removal of ocular artefacts in EEG by using outlier detection methods and independent component analysis
Cinar, Salim; Acır, Nurettin (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). ... -
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 ...
