Baktır, İzzet Adil2016-01-082016-01-081991http://hdl.handle.net/11693/17362Ankara : Department of Electrical and Electronics Engineering and Institute of Engineering and Sciences, Bilkent Univ., 1991.Thesis (Master's) -- Bilkent University, 1991.Includes bibliographical references leaves 38-39An analog CMOS circuit realization of cellular neural networks with transconductance elements is presented in this thesis. This realization can be easily adapted to various types of applications in image processing by just choosing the appropriate transconductance parameters according to the predetermined coefficients. The noise-reduction and edge detection examples have shown the effectiveness of the designed networks in real time image processing applications. For “fix function” cellular neural network circuits the number of transistors are reduced further by a new multi-input voltage-controlled current source.ix, 39 leavesEnglishinfo:eu-repo/semantics/openAccessCellular Neural NetworksAnalog VLSICMOSTransconductanceTK7874 .B35 1991Linear integrated circuits.Metal oxide semiconductors, complementary.Integrated circuits--very large scale integration.Thesis