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Search results for: noise
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Year: 2014, Volume: 14, Number: 2
... [3 ], [4 ], [6-8], [13], [14]. conditions respectively. The results derive from FEM-based The magnetic noise is reduced, as well [8 ], [11], [17]. The simulations and experimental tests. content in high order spatial harmonics ...
Year: 2014, Volume: 14, Number: 2
... The proposed model also studied [3-5]. These methods applied a noisy channel successfully reduces the word error rate and semantic error model for error correction. The noise channel model has a rate by 3.65% and 8.61%, respectively. distribution accounting for the possibility that an original word can be misinterpreted as an erroneous ...
233. A Blind High-Capacity Wavelet-Based Steganography Technique for Hiding Images into other Images
... algorithms must be robust to protect copyright information against certain attacks such as filtering, noise addition, and compression attacks [7 ], [11], [ ... measured in terms on the fidelity of the stego-images using the maximum of the Peak Signal-to-Noise Ratio (PSNR). PSNR is payload. In fact, these results ...
Year: 2014, Volume: 14, Number: 2
... of elimination of noises from the fingerprint. One way of getting rid of the noise is (i.e. G. Elimination Algorithm after determination of the ridge direction ... . Enhancement algorithms. pixel is kept. Enhancement is the process of elimination of noises from the fingerprint. One way of getting rid of the noise is ( ...
Year: 2014, Volume: 14, Number: 1
... criterion is used in two schemes. Firstly, it is used in a classical criteria have been proposed for the BCJR-MAP decoding turbo code scheme on additive white gaussian noise (AWGN) algorithm. A summarizing work is given in [7-8]. Stopping channel. Secondly, it is used in a scheme combining a turbo ...
Year: 2014, Volume: 14, Number: 1
... exponent is bigger than 0, the system is chaotic. If the Lyapunov coefficient is getting to infinite, the Figure 5. The same image after binarization, noise removal and system is called random system [9 ], [16], [17]. skeletonization The main nonlinear dynamic determinant is the Lyapunov exponent ...
Year: 2014, Volume: 14, Number: 1
... presentation of squared error as bias-variance data. That is to say, one instance among original instances decomposition is shown in Eq. (26). When the noise is becomes the validation instance while the remaining omitted, mean squared error becomes Eq. (27). instances are used as training instances. This method ...
Year: 2014, Volume: 14, Number: 1
... the Elastic Bunch Graph variation, pose and expression variation, occlusion and Matching (EGBM) [15], Local Feature Analysis (LFA) [16] noise. Moreover, human faces also have an inherent and Locally Salient Independent Component Analysis (LS- property of subtle changes in structure over time. An ICA ...
Year: 2014, Volume: 14, Number: 1
... 1979. 1.26 10 -6 1.26 10-6 [16] F. Ma, "Approximate analysis of a class of linear stochastic systems a 0.015 0.01 with colored noise," Int. J. Eng. Sci., 24, pp. 19-34, 1986. [17] K. Mosegaard, A. Tarantola ...
Year: 2014, Volume: 14, Number: 1
... UE3 € th (6) n1 and n2 both denote the additive noise plus other where I well is the maximum average mutual information interferences, which ... 2 is the received signal-to- DF-D2D proceeds at two time slots. interference plus noise-ratio (SINR) at UE2, R is the P spectral efficiency and the ...
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