BMTI estimates log-density via integration of neighbor differences on data manifolds using maximum-likelihood weighting, without binning or explicit coordinates.
A density-based algorithm for discovering clusters in large spatial databases with noise
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An enhanced localized kernel method extends the Signal Separation Operator to separate linear chirps under crossovers, very low SNR, and discontinuities, with noise analysis and tests on seven simulated signals.
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Localized kernel method for separation of linear chirps
An enhanced localized kernel method extends the Signal Separation Operator to separate linear chirps under crossovers, very low SNR, and discontinuities, with noise analysis and tests on seven simulated signals.