BREAKING NEWS

Summary

In signal processing, any periodic function $s_{P}(t)$ with period P can be represented by a summation of an infinite number of instances of an aperiodic function $s(t)$ , that are offset by integer multiples of P. This representation is called periodic summation:

$s_{P}(t)=\sum _{n=-\infty }^{\infty }s(t+nP)=\sum _{n=-\infty }^{\infty }s(t-nP).$  A Fourier transform and 3 variations caused by periodic sampling (at interval T) and/or periodic summation (at interval P) of the underlying time-domain function.

When $s_{P}(t)$ is alternatively represented as a complex Fourier series, the Fourier coefficients are proportional to the values (or "samples") of the continuous Fourier transform, $S(f)\triangleq {\mathcal {F}}\{s(t)\},$ at intervals of 1/P.  That identity is a form of the Poisson summation formula. Similarly, a Fourier series whose coefficients are samples of $s(t)$ at constant intervals (T) is equivalent to a periodic summation of $S(f),$ which is known as a discrete-time Fourier transform.

The periodic summation of a Dirac delta function is the Dirac comb. Likewise, the periodic summation of an integrable function is its convolution with the Dirac comb.

Quotient space as domain

If a periodic function is represented using the quotient space domain $\mathbb {R} /(P\mathbb {Z} )$ then one can write

$\varphi _{P}:\mathbb {R} /(P\mathbb {Z} )\to \mathbb {R}$ $\varphi _{P}(x)=\sum _{\tau \in x}s(\tau )$ instead. The arguments of $\varphi _{P}$ are equivalence classes of real numbers that share the same fractional part when divided by $P$ .

Citations

1. ^ Pinsky, Mark (2001). Introduction to Fourier Analysis and Wavelets. Brooks/Cole. ISBN 978-0534376604.
2. ^ Zygmund, Antoni (1988). Trigonometric Series (2nd ed.). Cambridge University Press. ISBN 978-0521358859.