Validating dfdata

17 Nov

The present invention relates to a process for measuring performance and monitoring quality of service of an information system.

It also relates to a decisional information system implementing this process.

1672 randomly sampled patients diagnosed with invasive colorectal cancer in years 2000–2005 in Alberta, Canada were included.Through simulation and raw data validation, this algorithm can detect the weak signals of HF wide band DF data. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited.In a post publihed in July, I mentioned the so called the Goldilocks principle, in the context of kermel density estimation, and bandwidth selection.This article describes a novel multi-dimension combination signal detection algorithm based on the space-frequency-energy domain for the raw data derived from high frequency (HF) wide band direction-finding (DF) systems.According to the HF wide band DF data, the time-frequency-power spectrum and its corresponding azimuth information are first transformed into azimuth-frequency-energy spectrum of DF data along the time axis; then the noise characteristics of azimuth-frequency-energy spectrum are analyzed and the detection threshold is achieved by the Neyman-Pearson (N-P) criterion at one certain false alarm probability (PFA ); finally the signals are detected by comparing the energy of every azimuth-frequency point with the detection threshold.