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An Introduction To Compressive Sampling
Article
Article
An Introduction To Compressive Sampling
Emmanuel J. Candès; Michael B. Wakin · IEEE Signal Processing Magazine · 2008
Conventional approaches to sampling signals or images follow Shannon's theorem: the sampling rate must be at least twice the maximum frequency present in the signal (Nyquist rate). In the field of data conversion, standa...
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ENSEMBLE EMPIRICAL MODE DECOMPOSITION: A NOISE-ASSISTED DATA ANALYSIS METHOD
Article
Article
ENSEMBLE EMPIRICAL MODE DECOMPOSITION: A NOISE-ASSISTED DATA ANALYSIS METHOD
Zhaohua Wu; Norden E. Huang · Advances in Adaptive Data Analysis · 2008
A new Ensemble Empirical Mode Decomposition (EEMD) is presented. This new approach consists of sifting an ensemble of white noise-added signal (data) and treats the mean as the final true result. Finite, not infinitesima...
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