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Showing 1 to 3 of 3 for “"Nyquist-Shannon Sampling Theorem"”.

  1. Adaptive sampling for multiscale environmental sensor networks

    … both temporally and spatially. Without effective sampling logic, these powerful tools can produce an overwhelming quantity of data that may not capture the most valuable information for scientific discovery. To address this issue, this research expands the definition of a “hot moment”, a term …

    uiuc Repository record for Adaptive sampling for multiscale environmental sensor networks (opens in a new tab)

  2. A hardware platform to test analog-to-information conversion and non-uniform sampling

    The Nyquist-Shannon sampling theorem tells us that in order to fully recover a band-limited signal previously converted to discrete data points, said signal must have been sampled at a frequency greater than twice its bandwidth. This theorem puts a burden on circuits like ADCs, in the sense that …

    mit Repository record for A hardware platform to test analog-to-information conversion and non-uniform sampling (opens in a new tab)

  3. Global optimization methods for localization in compressive sensing

    … a few terms from a basis expansion) by using a sampling rate much lower than that required by the Nyquist-Shannon sampling theorem (i.e., twice the highest frequency present in the signal of interest). Low-rate sampling reduces implementation's constraints and translates into cost savings due to …

    njit Repository record for Global optimization methods for localization in compressive sensing (opens in a new tab)