• EFFECT OF LANGUAGE MISMATCH ON TURKISH SPEAKER VERIFICATION 

  Hanilçi, Cemal (2017)

  Bu çalışmada, arkaplan verisi ile gerçekleştirme verisi arasında konuşulan dil anlamında bir uyumsuzluk olması durumunda Türkçe konuşmalar için konuşmacı tanıma performansı incelenmiştir. Gauss karışım modeli - genel ...

• THz applications of multimode laser diodes: a review 

  Öztürk, Turgut; Morıkawa, Osamu (2019)

  Investigations are ongoing to develop cheaper THz time-domain spectroscopy (THz-TDS) systems. In this context, many studies have been published in which multimode laser diodes (MLDs) are used as light sources in THz- TDS ...

• THD minimization for Z-source-based inverters with a novel sinusoidal PWM switching method 

  Ghaderı, Davood (2019)

  This paper presents a modified sinusoidal pulse width modulation (SPWM) switching method for one-phase and investigated two-phase impedance-source inverter structures. The proposed structure generates pulses for a quasiZ-source ...

• 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 

  Acır, Nurettin; Çınar, Salim; Mengüç, Engin Cemal (2018)

  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 ...

• Gauss Karışım Modeli ve Genlik Spektrumu Öznitelikleri ile Sesteki Gizli Bilginin Sezimlenmesi 

  Hanilçi, Cemal (2017)

  Son yıllarda, dijital verilerin kullanımının önemli ölçüde artması ile dijital ortam verilerinin gizli haberleşme için kullanılması oldukça yaygınlaşmıştır. Bununla birlikte, dijital verilerdeki gizli mesajın tespiti ...

• 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 ...

• Remaining Useful Life Estimation with Parallel Convolutional Neural Networks on Predictive Maintenance Applications 

  Avcı, Adem; Acır, Nurettin (Institute of Electrical and Electronics Engineers Inc., 2020)

  Maintenance work in the industry is performed as failure based corrective maintenance and calendar based preventive maintenance strategies. These strategies cannot meet the demands of the industry in terms of maintenance ...

• Classification of Motor Imaginary Signals Using Stacked Autoencoders 

  Balım, Mustafa Alper; Acır, Nurettin (Institute of Electrical and Electronics Engineers Inc., 2020)

  Motor imagery signals are one of the electroencephalography signals that occurs by subjects imagining the movement of a body limb and they used in brain computer interface applications. With the use of deep neural networks ...

• 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 ...

• Mixture Linear Prediction in Speaker Verification Under Vocal Effort Mismatch 

  Pohjalainen, Jouni; Hanilçi, Cemal; Kinnunen, Tomi; Alku, Paavo (Ieee-Inst Electrical Electronics Engineers Inc, 2014)

  This paper describes an approach to robust signal analysis using iterative parameter re-estimation of a mixture autoregressive (AR) model. The model's focus can be adjusted by initialization of the target and non-target ...

• Source cell-phone recognition from recorded speech using non-speech segments 

  Hanilçi, Cemal; Kinnunen, Tomi (Academic Press Inc Elsevier Science, 2014)

  In a recent study, we have introduced the problem of identifying cell-phones using recorded speech and shown that speech signals convey information about the source device, making it possible to identify the source with ...

• 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 ...

• 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 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 ...

• 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 ...

• Classifiers for Synthetic Speech Detection: A Comparison 

  Hanilçi, Cemal; Kinnunen, Tomi; Sahidullah, Md; Sizov, Aleksandr (Isca-Int Speech Communication Assoc, 2015)

  Automatic speaker verification (ASV) systems are highly vulnerable against spoofing attacks, also known as imposture. With recent developments in speech synthesis and voice conversion technology, it has become important ...

• 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 ...

• Comparison of Ray Traced Based Models with Physical Optic Model 

  Tabakcıoğlu, Mehmet Barış (Ieee, 2016)

  Electromagnetic wave propagation in free space is an excessively simplified situation. Hence, the vital question is how an electromagnetic wave propagates in ambient including obstructions like mountains, trees, hills or ...

• Amplitude and Slope Diffraction Coefficients for S-UTD-CH Model 

  Tabakcıoğlu, Mehmet Barış (Ieee, 2016)

  Diffraction mechanism is vital to predict the field strength and calculate the coverage in urban, rural and indoor. Diffraction occurs on the sharp surfaces like rooftop, edge, corner, and vertex. S-UTD-CH model computes ...

• 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 ...

View more