Asymptotic behavior of maximum likelihood estimates of superimposed exponential signals

DOI10.1109/78.205757zbMath0775.93220OpenAlexW2155306779MaRDI QIDQ4039027

C. Radhakrishna Rao, Lin Cheng Zhao

Publication date: 8 August 1993

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/78.205757

Mathematics Subject Classification ID

Estimation and detection in stochastic control theory (93E10) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (12)

A brief biography and appreciation of Calyampudi Radhakrishna Rao, with a bibliography of his books and papers ⋮ C. Radhakrishna Rao: A Century in Statistical Science ⋮ A statistically and computationally efficient method for frequency estimation ⋮ Approximation to the distribution of the least squares estimators in two dimensional cosine models by randomly weighted bootstrap ⋮ Professor C. R. Rao's contributions in statistical signal processing and its long-term implications ⋮ Amplitude modulated model for analyzing non-stationary speech signals ⋮ Autoregressive frequency detection using regularized least squares ⋮ Frequency estimation of undamped exponential signals using genetic algorithms ⋮ Determination of Discrete Spectrum in a Random Field ⋮ Statistical Analysis of Non Linear Least Squares Estimation for Harmonic Signals in Multiplicative and Additive Noise ⋮ Generalised signed-rank estimation for nonlinear models with multidimensional indices ⋮ An efficient algorithm for estimating the parameters of superimposed exponential signals

This page was built for publication: Asymptotic behavior of maximum likelihood estimates of superimposed exponential signals