Detection of a low level signal in noise by tegulometric methods.
Tobin, Kiefer Ault
MetadataShow full item record
A novel and sensitive method is described for the analysis and detection of weak signals generated by many sources and highly contaminated by noise. This process yields a spectral display whose elements are related to the probability of occurrence of a frequency rather than to the power spectral density of conventional schemes. Thus, a weak signal and stronger signals may show equally if they appear over the same percentage of the analysis period. This process, called tegulometric analysis, is tested and improved in sensitivity for detection of very weak signals hidden in gaussian noise. The investigation shows that this method can be optimized to produce low level signal detections based upon short observational periods. The frequency resolution capability of the method is shown to be marked.
Showing items related by title, author, creator and subject.
Hong, Bryan Y. (Monterey, California. Naval Postgraduate School, 2011-09);Automatic detection of sea mines in coastal regions is difficult due to highly varying sea bottom conditions present in the underwater environment. Detection systems must be able to discriminate objects that vary in size, ...
Mayo, Donald R. (Monterey, California. Naval Postgraduate School, 2007-09);This research provides analysis of several approaches to the fusion of multiple dissimilar sensors to supplement simple color vision detection and recognition. Non-visible sensor systems can enhance computer vision systems. ...
Benbow, Troy A. (Monterey, California. Naval Postgraduate School, 2016-03);A numerical study has been performed to investigate the feasibility of hydro-dynamically based detection of propagating submersibles. Of particular concern is the possibility of utilizing microstructure measurements as a ...