Density function approximation using reduced sufficient statistics for joint estimation of linear and nonlinear parameters
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Publication:2723646
DOI10.1109/78.774741zbMath0969.94005OpenAlexW2168612702MaRDI QIDQ2723646
Publication date: 8 July 2001
Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1109/78.774741
additive Gaussian noisedeterministic signalestimation of linear and nonlinear parametersreduced sufficient statistics
Estimation and detection in stochastic control theory (93E10) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)
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