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The first stage of the classifier computes the SOF of the signal by (i) using the SSCA method outlined in [18] to estimate the cycle frequencies of interest, (ii) applying (12) followed by (9) to compute the SOF of the received signal, and (iii) compressing the data into the feature vector composed of the concatenation of and.
In addition, a numerical simulation model of the hybrid open expansion- Rankine cycle was designed and modeled in order to estimate the cycle's performance.
Menstrual cycle day of blood collection was calculated as days since the last menses, even though days until the next menses more accurately estimate the cycle day.
This enables one to estimate the cycle length, k, of DA as being any number at least as large as the number of iterations needed for EM to converge.
A more suitable method is to first estimate the cycle frequencies of interest using the method outlined in [18].
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In order to identify these components, they suggest a model of unobserved components, estimating the cycle through a signal extraction method (Friedman 1957; Muth 1960).
The estimation algorithm based on the accelerometer signals was able to identify the push phase more accurately but unable to accurately determine the end of recovery phases, possibly leading to the inaccuracy when estimating the cycle time.
For a given system configuration, a system model estimates the cycles per instruction that the system would incur while running a given workload.
For the unknown rotation cycle, this method could also be used to estimate the spin cycle of the target.
To estimate the life cycle cost of thermal power equipments in engineering, this paper established a comprehensive evaluation model of life cycle cost with the life cycle breakdown and cost breakdown structure.
The objective of this study was to estimate the menstrual cycle day of conception in women presenting for abortion.
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