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Fourier Series of Finite Power Periodic Signals

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Mathematical Principles of Signal Processing
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Abstract

Let us consider the Hilbert space ℓ 2 of complex sequences a = {a n }, n ∈ ℤ, such that \({\sum\nolimits_{n \in \mathbb{Z}} {|{a_n}|} ^2} \prec \infty \) with the Hermitian product

$${\left\langle {a,b} \right\rangle _{l_\mathbb{C}^2}} = \sum\limits_{n \in \mathbb{Z}} {{a_n}b_n^*} $$
((43))

and the Hilbert space L 2 ([0, T], dt/T) of complex signals x = {x(t)}, t ∈ ℝ, such that \(\int_0^T {{{\left| {x(t)} \right|}^2}dt} < \infty \) , with the Hermitian product

$${\left\langle {x,y} \right\rangle _{L_\mathbb{C}^2\left( {[0,T],\frac{{dt}}{T}} \right)}} = \int_0^T {x(t)y{{(t)}^*}\frac{{dt}}{T}} $$
((44))

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References

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© 2002 Springer Science+Business Media New York

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Brémaud, P. (2002). Fourier Series of Finite Power Periodic Signals. In: Mathematical Principles of Signal Processing. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-3669-4_11

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  • DOI: https://doi.org/10.1007/978-1-4757-3669-4_11

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4419-2956-3

  • Online ISBN: 978-1-4757-3669-4

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