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Chebyshev Polynomials | Spectral Audio Signal Processing
https://www.dsprelated.com/freebooks/sasp/Chebyshev_Polynomials.html
The following properties of the Chebyshev polynomials are well known: is an th-order polynomial in . is an even function when is an even integer, and odd when is odd. has zeros in the open interval , and extrema in the closed interval . for .
Chebyshev Model and Synchronized Swept Sine Method in ...
http://dafx10.iem.at/proceedings/papers/NovakSimonLottonGilbert_DAFx10_P23.pdf
containing a nonlinear Chebyshev polynomial following by a lin-ear filter. The method is tested on an overdrive effect pedal to simulate an analog nonlinear effect in digital domain. 1. INTRODUCTION Various classical analog audio effects such as compression, har-monic excitation, overdrive or distortion for guitars fall into the
An Introduction to Chebyshev polynomials and Smolyak …
https://robertdkirkby.github.io/IntroToChebyshevSmolyak.html
Chebyshev Polynomials - Definition and Properties ...
https://brilliant.org/wiki/chebyshev-polynomials-definition-and-properties/
4. Chebyshev polynomials — An Introduction to Spectral Methods
https://kth-nek5000.github.io/kthNekBook/_md/spectral/chebyshev.html
A function u ( x) is approximated via a finite series of Chebyshev polynomials as. (4.1) ¶. u N ( x) = ∑ k = 0 N a k T k ( x) , with the a k being the Chebyshev coefficients. Note that the sum goes from 0 to N, i.e. there are N + 1 coefficients. The highest …
8.3 - Chebyshev Polynomials
https://www3.nd.edu/~zxu2/acms40390F11/sec8-3.pdf
Orthogonality Chebyshev polynomials are orthogonal w.r.t. weight function w(x) = p1 1 x2 Namely, Z 1 21 T n(x)T m(x) p 1 x2 dx= ˆ 0 if m6= n ˇ if n= m for each n 1 (1) Theorem (Roots of Chebyshev polynomials)
Chebyshev Polynomials - CCRMA
https://ccrma.stanford.edu/~jos/sasp/Chebyshev_Polynomials.html
The following properties of the Chebyshev polynomials are well known: is an th-order polynomial in . is an even function when is an even integer, and odd when is odd. has zeros in the open interval , and extrema in the closed interval . for .
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