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The successive processing stage, implementing a low-pass filter, is mandated to drastically attenuate out-of-band noise components.
Starting from this approach, it will be possible to conceptualize, measure, and analyze HRQOL developmental trajectories in the older adults' population making fundamental steps to understand the role of aging process in self-rated health and to prevent health decline at an early stage, implementing health promotion interventions and strategies.
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Using insights from the data analysis stage, implement changes as part of an ongoing fundraising strategy.
The velocity primitive stage implements the modulus and phase estimation with separate expressions.
The final stage, implemented since 2013, has been characterised by its focus on new educational practices [6].
The first one (preattentive stage) implements a concept of saliency based on "proto-objects".
The first block of the first stage implements a DT-CWT and the third one the corresponding inverse transform (IDT-CWT).
The second stage implements firstly separation of high-frequency and low-frequency PMs and secondly producing of a fine PM consisting of areal surface roughness and waviness PMs.
The second stage implements an objective function that chooses appropriate sites for protection according to the suitability of these modelled habitats to support focal reptiles and amphibians.
The first stage implements a novel approach, called stochastic subset optimization (SSO), for iteratively identifying a subset of the original design space that has high plausibility of containing the optimal design variables.
The speech signal is processed through a pre-emphasis stage (implemented as a first-order high pass filter with pre-emphasis coefficient 0.97), and a time-frequency auditory spectrogram is generated using a biomimetic sound processing model described in details in[9] and briefly summarized here (Equation 1).
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CEO of Professional Science Editing for Scientists @ prosciediting.com