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Rakeness-based approach to compressed sensing of ECGs

机译:基于耙度的心电图压缩感知方法

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Compressed sensing is an analog signal acquisition technique that aims at converting the intrinsic information contained in the signal when some a priori assumptions can be made on its structure. The most common of these assumptions is that the signal is sparse. We here present a methods that works when the signal to acquire is not only sparse but also localized. Benefits of this method will be shown by applying it to ECG signals.
机译:压缩感测是一种模拟信号采集技术,旨在在可以对信号的结构进行一些先验假设时转换包含在信号中的固有信息。这些假设中最常见的是信号稀疏。我们在这里提出一种方法,当要采集的信号不仅稀疏而且局部化时也可以使用。将这种方法应用于ECG信号将显示其优势。

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