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SYSTEM AND METHOD FOR SIGNAL PRE-PROCESSING BASED ON DATA DRIVEN MODELS AND DATA DEPENDENT MODEL TRANSFORMATION
SYSTEM AND METHOD FOR SIGNAL PRE-PROCESSING BASED ON DATA DRIVEN MODELS AND DATA DEPENDENT MODEL TRANSFORMATION
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机译:基于数据驱动模型和数据相关模型变换的信号预处理系统和方法
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摘要
This disclosure relates generally to method for signal pre-processing based on a plurality of data driven models and a data dependent model transformation. The method includes (a) receiving, a raw signal as an input; (b) learning, a set of representational basis from the received raw signal, wherein the set of representational basis comprises a plurality of orthonormal vectors; (c) selecting, at least one orthonormal vector from the plurality of orthonormal vectors, (d) determining, a structure of the plurality of dictionary atoms, wherein structure of the plurality of dictionary atoms corresponds to a graph structure represented as a Laplacian matrix (L); (e) integrating, the graph structure as a structure of the set of representational basis to obtain a reconfigured data model; and (f) reconstructing, using the reconfigured data model to obtain a denoised signal, wherein at least one of constraints on a optimization problem corresponds to desired spectral and topological structure.
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