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52<br />

Signals and Spectra Chap. 2<br />

TABLE 2–1<br />

SOME FOURIER TRANSFORM THEOREMS a<br />

Operation Function Fourier Transform<br />

Linearity a 1 w 1 (t) + a 2 w 2 (t) a 1 W 1 (f) + a 2 W 2 (f)<br />

Time delay w(t - T d ) W(f) e -jvT d<br />

Scale change<br />

w(at)<br />

1<br />

Wa f |a| a b<br />

W * (-f)<br />

Conjugation<br />

w *<br />

(t)<br />

Duality W(t) w(-f)<br />

Real signal<br />

w(t) cos(w c t + u)<br />

1<br />

2 Ceju W(f - f c ) + e -ju W(f + f c )D<br />

frequency<br />

translation<br />

[w(t) is real]<br />

Complex signal<br />

w(t) e jv ct<br />

W(f - f c )<br />

frequency<br />

translation<br />

Bandpass signal ReEg(t) e jv ct<br />

F<br />

1<br />

Differentiation<br />

Integration<br />

d n w(t)<br />

dt n<br />

t<br />

w(l)dl<br />

L<br />

-q<br />

2 CG(f - f c) + G * (-f - f c )D<br />

(j2pf) n W(f)<br />

(j2pf) -1 W(f) + 1 2 W(0) d(f)<br />

Convolution<br />

Multiplication b<br />

q<br />

w 1 (t)*w 2 (t) = w 1 (l)<br />

L<br />

# w 2 (t - l) dl<br />

w 1 (t)w 2 (t)<br />

-q<br />

W 1 (f)W 2 (f)<br />

q<br />

W 1 (f)*W 2 (f) = W 1 (l) W 2 (f - l) dl<br />

L<br />

-q<br />

Multiplication<br />

t n w(t) (-j2p) -n dn W(f)<br />

by t n df n<br />

a<br />

w c = 2pf c .<br />

b * Denotes convolution as described in detail by Eq. (2–62).<br />

Dirac Delta Function and Unit Step Function<br />

DEFINITION.<br />

The Dirac delta function d(x) is defined by<br />

L<br />

q<br />

-q<br />

w(x) d(x) dx = w(0)<br />

(2–45)<br />

where w(x) is any function that is continuous at x = 0.

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