Yusuf Eren- Master of Engineering
- Research Assistant at Erciyes University
Yusuf Eren
- Master of Engineering
- Research Assistant at Erciyes University
Cost-effective acoustic feedback cancellation, Signal Processing
About
11
Publications
435
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Introduction
I am currently working as a research assistant in the Department of Electrical and Electronics Engineering at Erciyes University, Turkey. I received an MSc. degree in Electrical and Electronics Engineering at Kayseri University, especially focusing on cost-effective acoustic feedback cancellation in hearing aids. My interest areas include adaptive filter theory, signal processing, and online censoring based real- or complex-valued adaptive signal processing.
Current institution
Education
August 2021 - July 2023
Kayseri University
Field of study
- Electrical and Electronics Engineering
September 2015 - November 2019
Publications
Publications (11)
zet: Bu çalışmada, gürbüz çevrim içi sansürleme tabanlı Hibrit (Robust online censoring based hybrid, ROC-Hibrit) algoritması türetilmiş olup, başarımı literatürde yer alan ROC tabanlı kompleks-değerli en ortalama küçük kurtosis (ROC based Complex-valued least mean kurtosis, ROC-ACLMK), ROC tabanlı artırılmış CLMK (ROC based augmented CLMK, ROC-ACL...
Akustik geri besleme (acoustic feedback, AF) yolu seyrek bir doğaya sahiptir ve bu durum AF giderici (AF canceller, AFC) sistemlerinin yakınsama oranını ve kararlı-durum hatasını kötüleştirir. Ayrıca, AFC sistemlerinin hesaplama maliyeti, uzun süreli konuşma ve müzik gibi büyük-ölçekli kaynak sinyalleriyle uğraşırken ve yüksek filtre dereceleri kul...
To mitigate the bias caused by the strong correlation between the loudspeaker and source signals in the acoustic feedback (AF) canceller (AFC), the prediction error method (PEM) based AFC (PEMAFC) is the most popular solution but comes with two inherent drawbacks. Firstly, to improve the tracking performance of the PEM filter in the processing of n...
One of the important issues encountered in acoustic feedback canceler (AFC) systems is the bias occurring in the estimation of the acoustic feedback (AF) path. In the literature, a common solution is to inject the probe noise into the loudspeaker to reduce the correlation between the input signal and the loudspeaker signal, that is, to remove the b...
One of the important issues encountered in acoustic feedback canceller (AFC) systems is the bias occurring in the estimation of the acoustic feedback (AF) path. In the literature, a common solution is to inject the probe noise into the loudspeaker to reduce the correlation between the input signal and the loudspeaker signal, that is, to remove the...
This study introduces a large-scale short-term wind signal predictor via the online censoring-based complex-valued least mean kurtosis (OC-CLMK) algorithm. This predictor owing to its OC-CLMK algorithm overcomes the overwhelming computational challenges resulting from large-scale short-term wind data by censoring the noninformative data during the...
p>By drawing inspiration from the online censoring (OC) strategy that has significantly contributed to the adaptive processing of big data streams, we develop two prediction error method (PEM) based AFC (PEMAFC) systems in this paper, called OC-PEMAFC-1 and OC-PEMAFC-2. </p
p>By drawing inspiration from the online censoring (OC) strategy that has significantly contributed to the adaptive processing of big data streams, we develop two prediction error method (PEM) based AFC (PEMAFC) systems in this paper, called OC-PEMAFC-1 and OC-PEMAFC-2. </p
This study introduces the prediction performance of the online censoring-based complex-valued least mean kurtosis (OC-CLMK) algorithm, which is used for complex-valued big data streams, on financial data. The closing and high price data of the stocks of two different companies over the years are transferred to the complex domain, and the prediction...
This study introduces a novel online censoring (OC) strategy based learning algorithm for complex-valued big data streams. First of all, the kurtosis-based cost function is redefined considering the OC strategy, and then the OC-based complex-valued least mean kurtosis (OC-based complex-valued least mean kurtosis, OC-CLMK) learning algorithm is desi...
This study introduces a novel online censoring-least mean square (OC-LMS) based acoustic feedback cancellation (AFC) system to eliminate undesired acoustic feedback that causes instability in hearing aids. The performance of the proposed OC-LMS based AFC system is tested on a sample feedback path measured from a behind-the-ear hearing aid and compa...
