On parametric misspecified Bayesian Cramér-Rao bound: An application to linear/Gaussian systems

S Tang, G LaMountain, T Imbiriba… - ICASSP 2023-2023 …, 2023 - ieeexplore.ieee.org
A lower bound is an important tool for predicting the performance that an estimator can
achieve under a particular statistical model. Bayesian bounds are a kind of such bounds …

Parameter bounds under misspecified models for adaptive radar detection

S Fortunati, F Gini, MS Greco - … Press Library in Signal Processing, Volume …, 2018 - Elsevier
This chapter aims to provide a comprehensive overview on lower bounds on mean square
error (MSE) on the estimation of a deterministic parameter vector under misspecified …

Efficient Hardware Acceleration of Mean Squared Error Calculation Through In-Memory Computing

M Mahdavi - 2024 IEEE International Conference on Omni …, 2024 - ieeexplore.ieee.org
Fundamental in numerical computing, mean square (MS) and mean squared error (MSE)
calculations play a vital role, especially in artificial intelligence (AI) and signal processing …

Rainfall Prediction Using Backpropagation with Parameter Tuning

W Setiawan, A Barokah - MATEC Web of Conferences, 2022 - matec-conferences.org
Rainfall is one of the important elements in the process of weather and climate. The high
intensity of rainfall every year can hamper the mobility of the population and the distribution …

Análisis de parámetros de transmisión en sistemas de comunicaciones moleculares mediante diferentes condiciones comunicacionales en la transmisión y recepción

SD Armas Benavides - 2023 - dspace.unach.edu.ec
Las Comunicaciones Moleculares CM son uno de los campos más importantes de la
ciencia debido principalmente a las aplicaciones en el área médica para mejorar la salud …

[PDF][PDF] All issues Series Forthcoming About

ARB Yuso, M Aziz, AP Bayuseno… - MATEC Web of …, 2022 - teknik.trunojoyo.ac.id
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