Techniques/procedures for removing small erratic changes from data. This is usually applied to line and surface data. In mapping applications this is often used to create a better visual product -- may be referred to as smoothed data.
The reduction of the local variability of data and, when applied to a spatially distributed variable, results in a reduction of local variance. Smoothing, applied to a line, results in a reduction in the sharpness of angles between line segments.
A spectral manipulation technique used to reduce the amount of noise in a spectrum. It works by calculating the average absorbance (or transmittance) of a group of data points called the “smoothing window,” and plotting the average absorbance (or transmittance) versus wavenumber. The size of the smoothing window determines the number of data points to use in the average, and hence the amount of smoothing.
Smoothing eliminates high frequencies in the signal. If these high frequencies are noise, then this is a good thing. If they are signal, then smoothing is (probably) a bad thing. Averaging is a good example of smoothing. If the original data contains random errors (or, in a digital signal, aliasing) then averaging will eliminate the errors. If on the other hand the fluctuations in the sampled data are due to actual fluctuations in the measured signal, averaging will cause you to lose this information.
A form of generalization that involves averaging (either by visual estimation or computation) the locations of the coordinates that define the surveyed path of a line feature or the boundary of a polygon so as to remove excessive detail, given the scale of the map, or to average measurement errors.
An averaging of data in space or time, designed to compensate for random errors or fluctuations of a scale smaller than that presumed significant to the problem at hand. Thus, for example, a thermometer smooths the temperature reading on the scale of its time constant; the analysis of a sea level weather map smooths the pressure field on a space scale more or less systematically determined by the analyst by taking each pressure as representative not of a point but of an area about the point. See consecutive mean, curve fitting, filtering, bloxam.
In statistics and , to smooth a data set is to create a function that attempts to capture important patterns in the data, while leaving out noise. Many different algorithms are used in smoothing. One of the most common algorithms is the "moving average", often used to try to capture important trends in repeated statistical surveys.
The retention and application of investment fluctuation reserves to maintain a consistent crediting rate in a superannuation fund, notwithstanding volatility in the fund's actual earnings rate from year to year.
The maintenance of investment fluctuation reserve by an investment fund to maintain consistency in the rate in which fund earnings are credited to members' account, despite any volatility in the fund's actual earnings rate from year to year.
The holding and applying of investment fluctuation reserves by a superannuation fund to maintain consistency in the rate in which fund earnings are credited to members’ account, despite any volatility in the fund’s actual earnings rate from year to year.
Differences between two group s are played down and the strong points of agreement are given the most attention. [D01860] PMK87 In resource-scheduling, this refers to an option that modifies the way time-limited scheduling (and resource-limited with thresholds) work s. The objective of time-limited scheduling is to minimize the maximum extent that each resource availability needs to be exceeded, and the standard algorithm gives itself the maximum flexibility to achieve this by making use of any excess already incurred. The smoothing option modifies this so that it will not use the excess for a part icular activity unless necessary in order to schedule that activity within its total float. [D01861] WST
As higher magnification levels are reached, more details of an object are seen. This means that pixels become more apparent, giving a stair-step appearance. "Smoothing" attempts to compensate for this problem by combining bordering pixels with each other.