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The proposed diffuse sound PSD estimator is analyzed and compared to existing estimators.
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From a practical perspective, the proposed joint ML-based estimator leads to significant improvements in estimation accuracy compared to existing methods, as demonstrated by the simulation results in this section.
The estimators developed are validated on real data recorded in an ultrasonic tank, and their detection performances are compared to existing 2D and 3D methods.
Both methods are compared to existing approaches.
The models efficiency was compared to existing correlations.
The new schemes are analysed and compared to existing schemes.
The proposed estimator was compared to three existing estimators.
Using Monte Carlo simulation, performance of the proposed estimator is studied and comprehensively compared to the existing maximum likelihood estimators for simple step and linear trend changes.
compared to already existing methods.
It is also compared to other existing methods.
It exhibits remarkable results when compared to other existing methods.
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