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However, in PAT applications, simple and cheap systems are often used which means that linear multi-sensor antenna are not recommended.
The proposed models, which were developed using relaxation time constants that were estimated only once, appear to be universally applicable, and this means that linear rather than nonlinear least squares calculations can be used for various applications.
However, in this case, LTSD-based VAD algorithm is superior to other algorithms, which means that linear spectrum-based LTSD measure is successful in distinguishing such noise consisting of human voices from the corresponding noisy speech.
This means that linear unmixing permits us to compare and analyze the response amplitude of this dual FRET measurement with of conventional single FRET measurement.
This means that linear regression coefficients for a binary risk factor can be interpreted as difference of the mean value of the outcome distribution between subjects exposed and not exposed.
This means that linear convergence (4.24) is equivalent to general quasi-orthogonality (A3).
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The symmetric-impulse-response constraint means that linear-phase filters must be FIR filters, because a causal recursive filter cannot have a symmetric impulse response.
This means that δ is a linear left Jordan derivation.
The "linear sources" means that few lateral migrations on sediment transport (Reading and Richards 1994).
In our study, except for line B2, for which RRPCA performed significantly better than any other model, both measures of complementarity indicated that combining linear and non-linear models has the potential to result in slightly more accurate predictions, which means that the linear models capture different features of the data than the non-linear models.
It can be seen from this phase that no linear coupling between f and ξ exists, which means that the linear RCMs for all targets have been corrected by the Keystone Transform.
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