Fbsp wavelet

In applied mathematics, fbsp wavelets are frequency B-spline wavelets. ^[1]

6 relations: C. Sidney Burrus, Nyquist–Shannon sampling theorem, Shannon wavelet, Sinc function, Spline (mathematics), Spline wavelet.

C. Sidney Burrus

Charles Sidney Burrus (born October 9, 1934 in Abilene, Texas) is an American electrical engineer and the Maxfield and Oshman Professor Emeritus of Electrical and Computer Engineering at Rice University in Houston, Texas.

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Nyquist–Shannon sampling theorem

In the field of digital signal processing, the sampling theorem is a fundamental bridge between continuous-time signals (often called "analog signals") and discrete-time signals (often called "digital signals").

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Shannon wavelet

In functional analysis, a Shannon wavelet may be either of real or complex type.

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Sinc function

In mathematics, physics and engineering, the cardinal sine function or sinc function, denoted by, has two slightly different definitions.

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Spline (mathematics)

In mathematics, a spline is a function defined piecewise by polynomials.

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Spline wavelet

In the mathematical theory of wavelets, a spline wavelet is a wavelet constructed using a spline function.

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References

[1] https://en.wikipedia.org/wiki/Fbsp_wavelet

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