Browsing MF_Yayın Koleksiyonu by Department "Fakülteler, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümü"
Now showing items 1-10 of 10
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Application of Linear Regression Classification to Low-Dimensional Datasets
(Elsevier, 2014)The Traditional Linear Regression Classification (LRC) method fails when the number of data in thetraining set is greater than their dimensions. In this work, we proposed a new implementation of LRC toovercome this problem ... -
Discriminative common vector approach based feature selection in face recognition
(Pergamon-Elsevier Science, 2014)A novel feature selection algorithm is proposed, which is related to the Discriminative Common Vector Approach (DCVA) utilized as a means to reduce the computational complexity of the facial recognition problem. The ... -
De Moivre Eşitliği ve Trigonometrik İlişkiler ile Gerçeklenen Sayısal Kontrollü Osilatör
(IEEE, 2015)Sayısal haberleşme sistemlerinde önemli bir yere sahip olan sayısal kontrollü osilatörlerde, kontrol edilebilirlik ve kararlılık özellikleri nedeniyle tablo tabanlı yapılar tercih edilmektedir. Bu çalışma, faz artımı ... -
De Moivre Eşitliğini Kullanan Sayısal Osilatör
(IEEE, 2015)Sayısal haberleşme sistemlerinde frekansı sayısal kontrollü sinüsoidal işaret üretimi için, kararlılık ve kontrol edilebilirliklerinden dolayı, hafıza tabanlı işaret üreteçleri kullanılmaktadır. İşaretlerdeki kalite ... -
Multipllier- free Raised-cosine Filter for Binary Streams Using DDS
(IEEE, 2014)Raised-Cosine filters with over-sampled input/output are used to limit spectral bandwidth of the communication signals. Over-sampling inherently increases the number of required components in FIR filters. We aimed to reduce ... -
A Numerically Controlled Oscillator Based on De Moivre's Identity and Linear Approximation
(IEEE, 2015)Discrete sinusoidal quadrature signal generators whose output frequency is numerically and instantaneously controlled are in widespread use in digital communication systems. In this paper, a numerically controlled ... -
A Survey: Deriving Private Information from Perturbed Data
(Springer, 2015)Privacy-preserving data mining has attracted the attention of a large number of researchers.Many data perturbation methods have been proposed to ensure individual privacy. Such methods seem to be successful in providing ... -
Two Pseudo‑Common Vectors for Pattern Recognition
(Springer Heidelberg, 2020)In this paper, the mathematical model used in fnding the common vectors of classes in pattern recognition problems is reconsidered to obtain possible alternative solutions for the common vectors. Since the number of ... -
Use of gradient and normal vectors for face recognition
(Wiley, 2020)The main objective of this study is to compare face recognition accuracies in the case when the grey levels in eachpixel of the face images are replaced by the gradient and the surface normal vectors. Extensive information ... -
Using optimal choice of parameters for meta-extreme learning machine method in wind energy application
(Emerald Publishing, 2021)Purpose – This paper aims to deal with the optimal choice of a novel extreme learning machine (ELM) architecture based on an ensemble of classic ELM called Meta-ELM structural parameters by using a forecasting process. ...
