Search results for: Gokcen Cetinel
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In this study, Electrooculogram (EOG) based Human-Machine Interface (HMI) application is proposed for partial or completely paralyzed and physically limited people as Amyotrophic Lateral Sclerosis (ALS) patients. In the designed system, EOG signals consisted of vertical and horizontal eye movements are detected by using 6 Ag-AgCl electrodes which placed around the eye. Then, by applying amplifying...
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Spasticity is a disorder that causes movement constraints in daily life and induced by upper neuron syndrome. Although spasticity is a well-known motor disorder, there are related diagnostic and assessment problems. The lack of common rating in assessment of spasticity causes significant differences between the interpretations of the specialists. In this study, it is aimed to conduct a highly accurate...
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In this study, voice based user identity recognition is introduced for visually impaired persons in learning management systems. The system designed for voice recognition process was performed both spoken and text dependent. For evaluating the performance of system, a total of 22 persons' voices (which 9 persons are visually impaired) recorded in a noiseless environment for training and testing process...
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In this study, digital image watermarking method based on Redundant Discrete Wavelet Transform (RDWT) and Singular value Decomposition (SVD) is proposed. By exploiting the complexity property of the chaotic signals, which is the main reason of using them in the security applications, the robustness and the invisibility of the proposed method is improved. In the proposed watermarking scheme, RDWT is...
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In this study chaos based digital watermarking scheme together with Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD) is proposed. In the proposed watermarking scheme, the cover image is decomposed to its sub-bands (LL, LH, HL and HH) by a common used frequency domain transform: DWT. Then, the SVD is directly applied to the all sub-bands of the decomposed cover image. The watermark...
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02010 00018th European Signal Processing Conference > 2010 > 1135 - 1139
In the last two decades, various blind channel equalization algorithms for chaotic communications systems have been developed by exploiting properties peculiar to chaotic signals. Almost in all of these algorithms, however, the propagation channel is assumed to be a single-input singleoutput (SISO) system. As far as we know, there is no study for multiple-input multiple-output (MIMO) unknown channel...
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Digital Signal Processing > 2010 > 20 > 1 > 201-211
Recently we have developed a simplified recursive adaptive blind channel equalization method for Single-Input Single-Output (SISO) chaotic communication systems. Even though the simplified recursive algorithm gives superior results compared to the state of the art chaotic blind channel equalization algorithms, it has a very important limitation: convergence of the adaptive algorithm is ensured for...
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In this study, an adaptive autoregressive (AR) algorithm is proposed for the blind identification and equalization of finite impulse response (FIR) channels for chaotic communication systems. The AR method is derived by minimizing a nonlinear prediction error function that is calculated by exploiting the short time predictability of a chaotic signal. The adaptive AR algorithm requires a recursion...
