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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hattingh, M. |
| Copyright Year | 1988 |
| Description | Author affiliation: Magnetic Obs., CSIR, Hermanus, South Africa (Hattingh, M.) |
| Abstract | A description is given of a linear-phase robust nonlinear smoothing method (the LRNS method) that can be used to smooth any time-series or space-series data to any degree. After a short review of existing smoothing methods, the drift removal method is discussed, its limitations are shown, and a step-by-step description is given how they are overcome in the proposed LRNS method. Examples are used to demonstrate the effectiveness of this method in smoothing synthetic and real data. With the LRNS method, the degree of smoothing is controlled by choosing only one parameter; any data series can be smoothed, whether it is regularly or irregularly sampled, contains spikes, random noise or missing data; only one weight is used this weight automatically adapts with changes in the data. Efficiency and stability are unaffected by the degree of smoothing, and no amplitude overshooting occurs. The method's greatest benefit lies in its simplicity rival those of 'smoothing by eye' without its bias and subjectivity.< |
| Starting Page | 98 |
| Ending Page | 104 |
| File Size | 554145 |
| Page Count | 7 |
| File Format | |
| ISBN | 0879427094 |
| DOI | 10.1109/COMSIG.1988.49310 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1988-06-24 |
| Publisher Place | South Africa |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Robustness Smoothing methods Polynomials Space stations Least squares methods Observatories Programmable control Adaptive control Interference cancellation Control theory |
| Content Type | Text |
| Resource Type | Article |
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