Minimum mean square error equalization on the 2-sphere
In this paper we consider the zero-forcing (ZF) and minimum mean square error (MMSE) criteria for signal recovery using linear operators as equalizers for signals observed on the 2-sphere that are subject to linear distortions and noise. The distortions considered are bounded operators and can include convolutions, rotations, spatial and spectral truncations, projections or combinations of these. Likewise the signal and noise are very general being modeled as anisotropic stochastic processes on...[Show more]
|Collections||ANU Research Publications|
|Source:||IEEE Workshop on Statistical Signal Processing Proceedings|
|01_Sadeghi_Minimum_mean_square_error_2014.pdf||254.05 kB||Adobe PDF||Request a copy|
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