2 results about "Shrinkage function" patented technology

The invention provides an adaptive equalization method for a PON, and the method comprises the steps: decomposing an input unbalanced signal into a preset number of layers through employing a Mallat decomposition algorithm, and obtaining a high-frequency detail coefficient and a low-frequency approximation coefficient of each layer; performing denoising processing on the high-frequency detail coefficient of each layer: calculating a GCV score of the high-frequency detail coefficient of the current layer by using a generalized cross validation threshold method, determining an optimal denoising threshold value for denoising processing based on the GCV score, and performing denoising processing on the high-frequency detail coefficient based on the optimal denoising threshold value by using a nonlinear contraction function; based on the denoised high-frequency detail coefficient of each layer and the denoised low-frequency approximation coefficient of the corresponding layer, performing layer-by-layer iterative reconstruction by using a Mallat reconstruction algorithm to obtain a denoised data symbol sequence; and taking the denoised data symbol sequence as the input of a pre-trained embedded wavelet neural network, and outputting an equalized signal.

The application provides a pathological section and MRI image registration method and device based on biomechanical elastic deformation, which comprises the following steps: obtaining a three-dimensional digital twin of a tumor region, obtaining a digital resection region in the three-dimensional digital twin based on a preset surgical margin; performing ex vivo dynamics simulation on the digital resection region to obtain a tissue deformation result; obtaining an optimal deformation section with maximum mutual information in the tissue deformation result and a pathological section; obtaining an inverse transformation deformation field between the optimal deformation section and the three-dimensional digital twin, and projecting a tumor region edge of the pathological section to the three-dimensional digital twin based on the inverse transformation deformation field. The scheme realizes fine local nonlinear adaptation of the section by constructing an ex vivo dynamics finite element simulation technology of a volume shrinkage function and performing local deformation with the pathological section edge information as a constraint, quantitatively restoring the global non-uniform shrinkage of the ex vivo tissue and the differential local deformation of the tumor and normal tissue.