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Learning-based subsampling

机译:基于学习的二次抽样

摘要

The present invention concerns a method of sampling a test signal. The method comprises: acquiring training signals sampled at a plurality of sampling locations; running an optimization procedure for determining an index set of n indices, representing a subset of the sampling locations, that maximize a function, over the training signals, of a quality parameter representing how well a given training signal is represented by the n indices; and sampling the test signal at the sampling locations represented by the n indices.
机译:本发明涉及一种对测试信号进行采样的方法。该方法包括:获取在多个采样位置采样的训练信号;运行优化程序以确定代表采样位置的子集的n个索引的索引集,该索引集使训练信号上的质量参数最大化,该质量参数表示给定训练信号由n个索引代表的程度;在n个索引所代表的采样位置对测试信号进行采样。

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