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In mathematics, a wavelet series is a representation of a square-integrable (real- or complex-valued) function by a certain orthonormal series generated by a wavelet. This article provides a formal, mathematical definition of an orthonormal wavelet and of the integral wavelet transform.
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Explore the main themes, entities and connections around Wavelet transform. Start with the topic map, then use the sections below for research and deeper semantic analysis.
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wavelet displaystyle compression transform frequency signal time image analysis wavelets function system reference basis signals discrete shift impulse fourier orthonormal
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Wavelet transform | is a | integral transform defined as | 0.90 | text |
| a drum hit in music or the sharp peaks in a heart rhythm | instance of | isolated events | 0.80 | text |
| intra coding | instance of | modern compression techniques | 0.80 | text |
| motion compensation | instance of | modern compression techniques | 0.80 | text |
| PSNR | instance of | while wavelets might score well on traditional measures | 0.80 | text |
| DCT blocks create a perception of sharpness that wavelets often lack | instance of | while wavelets might score well on traditional measures | 0.80 | text |
| requiring higher bitrates to achieve similar subjective quality | instance of | while wavelets might score well on traditional measures | 0.80 | text |
| Wavelet transform | has application | The | 0.60 | section |
| Wavelet transform | has application | For | 0.60 | section |
| Wavelet transform | has application | UWB | 0.60 | section |
| Wavelet transform | has application | Discretizing | 0.60 | section |
| Wavelet transform | has application | Applied | 0.60 | section |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.