THRESHOLDING IN PATTERN DETECTION AT LOW SIGNAL-TO-NOISE RATIO

摘要

Methods and systems for detecting and characterizing a pattern (or patterns) of interest in a low signal-to-noise ratio (SNR) data set are disclosed. One method is a two-stage Likelihood pipeline analysis that takes advantage of the benefits of a full Likelihood analysis while providing computational tractability. The two-stage Likelihood pipeline may include, at either stage, the calculation and use of one or more of a false positive rate, a standard error, and a multi-factor landscape involving a gradient and/or Hessian of a Likelihood ratio.