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Finally, some correlation regarding the estimation of the higher modes have been highlighted.
Any one of the six recommended models may be selected for the estimation of the higher heating values of fuels from the elementary analysis with confidence.
In this paper we disclose two new models for the estimation of the higher heating value of refused derived fuels as an answer to the question – "Are the available models to predict the HHV of biomasses suitable to be applied with an acceptable accuracy to RDFs?".
In this context, the estimation of the higher LD50 of the carbamates evaluated in this study suggests a relative reduced acute hazard in mammals.
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The low-degree part of CHAOS-6 model that is the focus of this section, CHAOS-6l, was estimated using a maximum degree of 80 (in contrast the high-degree part of the CHAOS-6 model, CHAOS-6h was estimated using a maximum degree of 120 see the section "CHAOS-6h: estimation of the high-degree lithospheric field").
Under the available bandwidth and in the presence of phase noises, the condition number for the resulting matrix becomes unacceptably large, preventing the estimation of the higher-order terms.
The estimation of the highest order parameter a K and DOA θ therefore boils down to sinusoid frequency estimation.
However, if the selection of the optimal cluster is not accurate, the estimation of the high-frequency components becomes also difficult.
This approach provides a solution to the problem of conventional methods not being able to perform adaptive estimation of the high-frequency components.
Pulakka et al. proposed a speech BWE method using Gaussian mixture model based estimation of the high band Mel spectrum [5].
In both cases, the estimation of the highest order parameter reaches the Cramér-Rao Cramér-Raod (CRlowerwhile the DOA estimation is aboundthe CRLB for around 1 dB (second-order PPS) and around 6 dB (third-order PPS).
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