A Variational Technique for Extracting Directional Spectra from Multi-Component Wave Data

摘要: Abstract The problem of extracting directional spectra from observed, multi-component wave data has two facets: 1) the observations provide information only on a finite number integral properties field; hence spectrum cannot be determined uniquely alone; and 2) contain statistical errors. These difficulties are dealt with by choosing an optimal model which simultaneously minimizes some property (its “nastiness”) passes appropriate test significance. Although developed here in context surface spectra, technique (adopted Backus-Gilbert inverse method).is applicable to any requiring fitting represent function being modeled.