Transforms
Mathematical Engineering, ISSN: 2192-4740, Issue: 9783642361036, Page: 133-161
2014
- 364Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Captures364
- Readers364
- 364
Book Chapter Description
Many filters arise from operating locally in a transformed space of functions. In contrast to filters, the transforms themselves are non-local and have global symmetries. For instance, the uncertainty principle in the Fourier transform ensures that the value of a function at a particular point can impact all frequencies.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85042917966&origin=inward; http://dx.doi.org/10.1007/978-3-642-36104-3_5; https://link.springer.com/10.1007/978-3-642-36104-3_5; https://dx.doi.org/10.1007/978-3-642-36104-3_5; https://link.springer.com/chapter/10.1007/978-3-642-36104-3_5
Springer Science and Business Media LLC
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