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Amplitude and Frequency Modulations with Cellular Neural Networks
(Springer, 2015)
Amplitude and frequency modulations are still the most popular modulation techniques in data transmission at telecommunication systems such as radio and television broadcasting gsm etc. However the architectures of these ...
Correlation of ternary liquid--liquid equilibrium data using neural network-based activity coefficient model
(Springer, 2014)
Liquid--liquid equilibrium (LLE) data are important in chemical industry for the design of separation equipments and it is troublesome to determine experimentally. In this paper a new method for correlation of ternary LLE ...
Bayesian estimation of discrete-time cellular neural network coefficients
(TUBITAK Scientific & Technical Research Council Turkey, 2017)
A new method for finding the network coefficients of a discrete-time cellular neural network (DTCNN) is proposed. This new method uses a probabilistic approach that itself uses Bayesian learning to estimate the network ...
Correlation of Experimental Liquid-Liquid Equilibrium Data for Ternary Systems Using NRTL and GMDH-Type Neural Network
(Amer Chemical Soc, 2017)
In this work liquid liquid equilibrium (LLE) data for the ternary systems (water + propionic acid + solvent) were experimentally obtained at atmospheric pressure and 298.2 K. The ternary systems show type-1 behavior of ...
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 ...
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 ...