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LEARNING-BASED SUBSAMPLING

机译:基于学习的抽样

摘要

The present invention concerns a method of sampling a test signal. The method comprises: acquiring (21) training signals sampled at a plurality of sampling locations; running (23) 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 (25) 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( 21 )训练信号;运行( 23 )优化过程,用于确定n个索引的索引集,该索引集表示采样位置的子集,该采样集在训练信号上最大化表示给定质量的质量参数的功能训练信号由n个索引表示;然后在由n个索引表示的采样位置采样( 25 )测试信号。

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