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Channel Equalization with Cellular Neural Networks
(IEEE, 2010)
In this paper a dynamic neural network structure called Cellular Neural Network (CNN) is employed for the equalization in digital communication. It is shown that this nonlinear system is capable of suppressing the effect ...
A numerical method for frequency determination in the astable cellular neural networks with opposite-sign templates
(IEEE, 2006)
In this study a numerical method is proposed to determine the oscillation frequencies in the astable cellular neural networks with opposite-sign templates [1]. This method depends on the training of a multilayer perceptron ...
Neural Network Design for the Recurrence Prediction of Post-Operative Non-Metastatic Kidney Cancer Patients
(Institute of Electrical and Electronics Engineers Inc., 2016)
In this paper various post-operative recurrence estimation models called nomograms for the kidney cancer patients without any metastates are introduced and novel systems based on a Multilayer Perceptron Neural Network are ...
Realization of ideal filter characteristics via genetic algorithm
(2011)
In this paper realization of ideal filter characteristics via genetic algorithm has been studied. The filter is defined as a lossless two-port terminated normalized source and load resistances and the coefficients of its ...
Genetic algorithm based broadband equalizer design with ripple level control
(IEEE, 2012)
In this paper broadband equalizer design with ripple control via genetic algorithm has been studied. The equalizer is defined as a lossless two-port terminated by load impedance and the coefficients of its describing ...
Detection of Trojans in integrated circuits
(IEEE, 2012)
This paper presents several signal processing approaches in Trojan detection problem in very large scale integrated circuits. Specifically wavelet transforms spectrograms and neural networks are used to analyze power ...
Edge detection using steerable filters and CNN
(European Signal Processing Conference EUSIPCO, 2002)
This paper proposes a new approach for edge detection using steerable filters and cellular neural networks (CNNs) where the former yields the local direction of dominant orientation and the latter provides iterative ...
Fault estimation of Trakya and Marmara Sea regions using 2D Gabor filtering [2 boyutlu gabor filtre yöntemi uygulayarak Trakya ve Marmara denizindeki fay hatlarının saptanması]
(2005)
In this paper we have applied 2D Gabor filtering to gravity and magnetic anomalies in estimation of discontinuities. Gabor filtering is an effective separation method compared to others having steerable and frequency ...
Smart Stethoscope
(IEEE, 2020)
In this study, a device named smart stethoscope that uses digital sensor technology for sound capture, active acoustics for noise cancellation and artificial intelligence (AI) for diagnosis of heart and lung diseases is ...