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The MRake architecture uses an Amplitude Estimation Unit (AEU) to estimate the amplitude of each component, and a noncoherent DLL to adaptively control its time-delay.
This section presents two estimators: (a) LMS, for amplitude estimation and (b) PLL, for phase estimation.
We use linear interpolation for amplitude estimation and then compare the estimated amplitudes of overlapped harmonics to label T-segments.
Fig. 13 RMS error of amplitude estimation.
Fig. 4 Cumulative source amplitude estimation.
Histogram tool to examine RMS error of amplitude estimation.
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First, we noticed that amplitude estimations appeared technically more error-prone than phase estimations.
The angle-amplitude estimation performance is examined by analyzing the Cramér Rao lower bound (CRLB).
However, when compared to other amplitude PDF estimation methods in ultrasound imagery, the HTR-proposed approach has a lower error.
Three major categories used in the amplitude PDF estimation of ultrasound images are summarized into parametric, nonparametric, and mixture models [8].
Numerical results verify that the developed model has the superior performance and the RiIG model has the worst performance for amplitude PDF estimation.
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