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Rakeness-based approach to compressed sensing of ECGs

机译:基于刷新的心电图压缩传感方法

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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,其旨在将信号中包含的内部信息转换为在其结构上进行一些先验假设时。这些假设中最常见的是信号稀疏。我们在这里介绍了一种方法,当获取信号不仅稀疏而且也是本地化时。将其应用于ECG信号来显示该方法的好处。

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