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It is based on least mean square method (LMS).
Using the root mean square method, the SNR variations of the whole optical system, changing with Sagnac interferometer acute angles β1 and β2, are simulated, and the condition β1=β2 can make the system SNR higher and more stable.
The uncertainty analysis is based on root mean square method as per Kline and McClintock (1953).
Determination of F0Mean values and calculation of the linear trend (LT) by the least mean square method.
For each height interval, the meridional and zonal components of the diurnal and semidiurnal tides are fitted by the least mean square method and it is possible to find the components of the tide.
A similar method in [24] utilizes the PMU data to locate the source, which employs the least mean square method to estimate the time differences of oscillation arrival times between different locations.
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Least mean squares method.
To estimate channel model parameters, least mean squares method (LMS) is associated with the trilateration method.
Using the CORSIM data,,, and values for each traffic condition are calculated using LMS (Least Mean Squares) method.
Similar as in [28, 29], least mean squares method (LMS) is adopted to estimate the relevant parameters for establishing the channel model.
George and Smith [12, 13] attempted to introduce the signal parameter A and the initial phase ϕ by applying the least mean squares method to the difference signal between the analyzed signal and the modulated harmonic sinusoidal wave.
More suggestions(15)
mean square error
mean square weight
mean square fit
mean square height
mean square residual
mean square approximation
mean square deviation
mean square difference
mean shift method
mean square criterion
mean square containment
mean square performance
mean square percentage
mean square signal
mean square synchronization
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