Second generation wavelet transform

Article summary

In signal processing, the second-generation wavelet transform (SGWT) is a wavelet transform where the filters (or even the represented wavelets) are not designed explicitly, but the transform consists of the application of the Lifting scheme. Actually, the sequence of lifting steps could be converted to a regular discrete wavelet transform, but this is unnecessary because both design and application is made via the lifting scheme. This means that they are not designed in the frequency domain, as they are usually in the classical (so to speak first generation) transforms such as the DWT and CWT). The idea of moving away from the Fourier domain was introduced independently by David Donoho and Harten in the early 1990s.

Key claims

1. P10283: C111350171 — source: Wikidata · confidence 0.95
2. P6366: 111350171 — source: Wikidata · confidence 0.95
3. P646: /m/06yhx2 — source: Wikidata · confidence 0.95

Discussion questions

1. Summarise the article in your own words. Which single claim would you verify first, and why?
2. The record states that the P10283 is "C111350171". What evidence would count against this claim?
3. The record states that the P6366 is "111350171". What evidence would count against this claim?
4. The record states that the P646 is "/m/06yhx2". What evidence would count against this claim?
5. Which claim in this article is most likely to be revised as the sources update? How would you check its current status?
6. If two sources disagreed about one of these facts, what would you need in order to trust one over the other?

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