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The Fourier–Bessel series of a function f(x) with a domain of [0,b]
is the notation of that function as a linear combination of many orthogonal versions of the same Bessel function of the first kind Jα, where the argument to each version n is differently scaled, according to
where uα,n is a root, numbered n associated with the Bessel-Function Jα and cn are the assigned coefficients:
The Fourier–Bessel series may be thought of as a Fourier expansion in the ρ coordinate of cylindrical coordinates. Just as the Fourier series is defined for a finite interval and has a counterpart, the continuous Fourier transform over an infinite interval, so the Fourier–Bessel series has a counterpart over an infinite interval, namely the Hankel transform.
Calculating the coefficients
As said, differently scaled Bessel Functions are orthogonal with respect to the inner product
the coefficients can be obtained from projecting the function f(x) onto the respective Bessel functions:
where the plus or minus sign is equally valid.
The Fourier–Bessel series expansion employs aperiodic and decaying Bessel functions as the basis. The Fourier–Bessel series expansion has been successfully applied in diversified areas such as Gear fault diagnosis, discrimination of odorants in a turbulent ambient, postural stability analysis, detection of voice onset time, glottal closure instants (epoch) detection, separation of speech formants, EEG signal segmentation, speech enhancement, and speaker identification. The Fourier–Bessel series expansion has also been used to reduce cross terms in the Wigner–Ville distribution.
A second Fourier–Bessel series, also known as Dini series, is associated with the Robin boundary condition
- , where is an arbitrary constant.
The Dini series can be defined by
where is the nth zero of .
The coefficients are given by
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