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We need to determine the value of a signal parameter θ from noisy signal measurements. The dependence of the signal on the parameter is known. Please select one or several most suitable algorithms, for
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We need to determine the value of a signal parameter θ from noisy signal measurements. The dependence of the signal on the parameter is known. Please select one or several most suitable algorithms, for each case below.

The parameter θ can take one of 6 different values with unknown a priori probabilities, and the noise is Additive White Gaussian Noise (AWGN).
Least Squares (LS) estimator

User Camarero
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Final answer:

The most suitable algorithm for determining the value of a signal parameter θ from noisy signal measurements, where the noise is Additive White Gaussian Noise (AWGN), is the Least Squares (LS) estimator.

Step-by-step explanation:

The most suitable algorithm for determining the value of a signal parameter θ from noisy signal measurements, where the noise is Additive White Gaussian Noise (AWGN), is the Least Squares (LS) estimator. The LS estimator minimizes the sum of the squared differences between the measured signal and the signal predicted by the parameter values. It provides a reliable estimate of the parameter values even in the presence of noise.

User Pablo Morales
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