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We consider the problem of estimating the geometric deformation of an object, with respect to some reference observation on it. Existing solutions, set in the standard coordinate system imposed by the measurement system, lead to high-dimensional, non-convex optimization problems. We present a weighted graph representation of images, and propose a global method that employs a set of non-linear functionals...
We consider the problem of image registration in the case of a radial deformation around an unknown center. We propose a novel approach for the estimation of the radial distortion parameters, which is applicable for camera calibration and image correction. The parameters of the deformation consist of the center of distortion (which is not necessarily the center of the image) and the parameters of...
We present a novel method of exploiting noise reduction prior to mode selection in classification-based speech coding. Certain parameter estimation and mode selection is performed on a denoised signal to ideally remove the non-speech components before signal classification, although the original input is coded. This method is employed in a recent ITU-T standard, G.718, which provides state-of-the-art...
In this paper we present methods enabling the analysis and detection of the Universal Mobile Telecommunications System (UMTS) signals. Presented procedures enable estimation of the basic parameters of the signal, identification of the standard and provide knowledge concerning essential information about the transmitted signal. Efficiency tests of proposed method of analysis are also introduced in...
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