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Looks at some of the consequences of conjugate symmetry of the Fourier transform of real signals.

When x ( t ) is real, the Fourier transform has conjugate symmetry , X ( - j Ω ) = X ( j Ω ) * . It is not hard to see this:

X ( j Ω ) * = - x ( t ) e - j Ω t d t * = - x ( t ) e - j Ω t * d t = - x ( t ) e j Ω t d t = X ( - j Ω )

where the second equality uses the definition of a Riemann integral as the limiting case of a summation, and the fact that the complex conjugate of a sum is equal to the sum of the complex conjugates. The third equality used the fact that the complex conjugate of a product is equal to the product of complex conjugates.

Letting X ( j Ω ) = a ( j Ω ) + j b ( j Ω ) , it follows that

X ( - j Ω ) = a ( - j Ω ) + j b ( - j Ω )

and

X ( j Ω ) * = a ( j Ω ) - j b ( j Ω )

Equating [link] and [link] gives a ( j Ω ) = a ( - j Ω ) and b ( - j Ω ) = - b ( j Ω ) , which implies that the real and imaginary parts of X ( j Ω ) have even and odd symmetry, respectively. A consequence of this is that X ( j Ω ) = X ( j Ω ) * = X ( - j Ω ) , that is, the magnitude of the Fourier transform has even symmetry. It can similarly be shown that the phase of the Fourier transform has odd symmetry.

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Source:  OpenStax, Signals, systems, and society. OpenStax CNX. Oct 07, 2012 Download for free at http://cnx.org/content/col10965/1.15
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