作者: Joel A. Tropp , Yehia Massoud , Jason N. Laska , Sami Kirolos , Michael B. Wakin
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摘要: A typical data acquisition system takes periodic samples of a signal, image, or other data, often at the so-called Nyquist/Shannon sampling rate two times bandwidth in order to ensure that no information is lost. In applications involving wideband signals, very high, even though signals may have simple underlying structure. Recent developments mathematics and signal processing uncovered solution this bottlenck for are sparse compressible some representation. We demonstrate reduce practice methods extract directly from an analog digital based on altering our notion replace uniform time with more general linear functionals. One embodiment invention low-rate analog-to-information converter can high-rate analog-to-digital certain signals. Another encoding scheme discrete-time condenses their content.