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{| border="2" style="border-collapse:collapse"
 
{| border="2" style="border-collapse:collapse"
 
|-
 
|-
|    || '''Real χ(w)''' || '''Imaginary χ(w)'''
+
|    || '''Real X(w)''' || '''Imaginary X(w)'''
 
|-
 
|-
| '''Even χ(w)''' || Real and Even x(t) || Imaginary and Even x(t)
+
| '''Even X(w)''' || Real and Even x(t) || Imaginary and Even x(t)
 
|-
 
|-
| '''Odd χ(w)''' || Imaginary and Odd x(t) || Real and Odd x(t)
+
| '''Odd X(w)''' || Imaginary and Odd x(t) || Real and Odd x(t)
 
|}
 
|}
  
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<math>\mathfrak{F}(x*(t)) = \mathfrak{F}(x(t))</math>
 
<math>\mathfrak{F}(x*(t)) = \mathfrak{F}(x(t))</math>
  
<math> \chi  * ( -  \omega )  =  \chi ( \omega ) </math>
+
<math> \chi  * ( -  \omega )  =  \chi ( \omega ) </math> , by conjugation property of CTFT
 +
 
 +
<math> \Re ( \chi (- \omega )) -  \jmath  \Im ( \chi (- \omega )) = \Re ( \chi (- \omega )) +  \jmath  \Im ( \chi ( \omega ))</math>

Revision as of 15:36, 20 April 2018

Determining the Properties of a Signal Based on its Fourier Transform

As part of this course, it is important to be able to examine the Fourier Transform of a signal, and tell if the original signal is real, pure imaginary, even, or odd. This article contains proof of properties that can help with this determination, and a few short example problems.

Table of Properties

Real X(w) Imaginary X(w)
Even X(w) Real and Even x(t) Imaginary and Even x(t)
Odd X(w) Imaginary and Odd x(t) Real and Odd x(t)

Proofs

The first proof, that the Fourier Transform of a real and even signal is also real and even, was completed by Prof. Boutin, as part of the class notes. I have put it here for convenience and make no attempt to claim it as my own. The remaining proofs are my own.

Real and Even Signals have Real and Even Fourier Transforms Since x(t) is real:

$ x*(t) = x(t) $

$ \mathfrak{F}(x*(t)) = \mathfrak{F}(x(t)) $

$ \chi * ( - \omega ) = \chi ( \omega ) $ , by conjugation property of CTFT

$ \Re ( \chi (- \omega )) - \jmath \Im ( \chi (- \omega )) = \Re ( \chi (- \omega )) + \jmath \Im ( \chi ( \omega )) $

Alumni Liaison

BSEE 2004, current Ph.D. student researching signal and image processing.

Landis Huffman