Group-averaged estimators from one observation achieve equivalent subspace decomposition to multi-observation covariance methods, with variance scaling by group order and unifying DFT, DCT, and KLT as special cases.
Study on channel model for frequencies from 0.5 to 100 GHz
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Algebraic Diversity: Group-Theoretic Spectral Estimation from Single Observations
Group-averaged estimators from one observation achieve equivalent subspace decomposition to multi-observation covariance methods, with variance scaling by group order and unifying DFT, DCT, and KLT as special cases.