Multiple source location estimation using the EM Algorithm
MetadataShow full item record
We present a computationally efficient scheme for multiple source location estimation based on the EM Algorithm. The proposed scheme is optimal in the sense that it converges iteratively to the exact Maximum Likelihood estimate for all the unknown parameters simultaneously. The method can be applied to a wide range of problems arising in signal and array processing.
Showing items related by title, author, creator and subject.
Estimating hydrodynamic roughness in a wave-dominated environment with a high-resolution acoustic Doppler profiler Lacy, Jessica R.; Sherwood, Christopher R.; Wilson, Douglas J.; Chisholm, Thomas A.; Gelfenbaum, Guy R. (American Geophysical Union, 2005-06-30)Hydrodynamic roughness is a critical parameter for characterizing bottom drag in boundary layers, and it varies both spatially and temporally due to variation in grain size, bedforms, and saltating sediment. In this paper ...
Sohn, Robert A. (2013-05-28)I discuss the general problem of fitting mixing models to ratio-ratio data, and derive formulae for applying non-linear Maximum Likelihood methods for parameter estimation. To estimate mixing model parameters in the ...
Holbrook, W. Steven; Fer, Ilker; Schmitt, Raymond W.; Lizarralde, Daniel; Klymak, Jody M.; Helfrich, L. Cody; Kubichek, Robert (American Meteorological Society, 2013-08)Seismic images of oceanic thermohaline finestructure record vertical displacements from internal waves and turbulence over large sections at unprecedented horizontal resolution. Where reflections follow isopycnals, their ...