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<h3 class="section">15.2 Overview of complex data FFTs</h3>

<p><a name="index-FFT_002c-complex-data-1396"></a>
The inputs and outputs for the complex FFT routines are <dfn>packed
arrays</dfn> of floating point numbers.  In a packed array the real and
imaginary parts of each complex number are placed in alternate
neighboring elements.  For example, the following definition of a packed
array of length 6,

<pre class="example">     double x[3*2];
     gsl_complex_packed_array data = x;
</pre>
   <p class="noindent">can be used to hold an array of three complex numbers, <code>z[3]</code>, in
the following way,

<pre class="example">     data[0] = Re(z[0])
     data[1] = Im(z[0])
     data[2] = Re(z[1])
     data[3] = Im(z[1])
     data[4] = Re(z[2])
     data[5] = Im(z[2])
</pre>
   <p class="noindent">The array indices for the data have the same ordering as those
in the definition of the DFT&mdash;i.e. there are no index transformations
or permutations of the data.

   <p>A <dfn>stride</dfn> parameter allows the user to perform transforms on the
elements <code>z[stride*i]</code> instead of <code>z[i]</code>.  A stride greater
than 1 can be used to take an in-place FFT of the column of a matrix. A
stride of 1 accesses the array without any additional spacing between
elements.

   <p>To perform an FFT on a vector argument, such as <code>gsl_vector_complex
* v</code>, use the following definitions (or their equivalents) when calling
the functions described in this chapter:

<pre class="example">     gsl_complex_packed_array data = v-&gt;data;
     size_t stride = v-&gt;stride;
     size_t n = v-&gt;size;
</pre>
   <p>For physical applications it is important to remember that the index
appearing in the DFT does not correspond directly to a physical
frequency.  If the time-step of the DFT is \Delta then the
frequency-domain includes both positive and negative frequencies,
ranging from -1/(2\Delta) through 0 to +1/(2\Delta).  The
positive frequencies are stored from the beginning of the array up to
the middle, and the negative frequencies are stored backwards from the
end of the array.

   <p>Here is a table which shows the layout of the array <var>data</var>, and the
correspondence between the time-domain data z, and the
frequency-domain data x.

<pre class="example">     index    z               x = FFT(z)
     
     0        z(t = 0)        x(f = 0)
     1        z(t = 1)        x(f = 1/(N Delta))
     2        z(t = 2)        x(f = 2/(N Delta))
     .        ........        ..................
     N/2      z(t = N/2)      x(f = +1/(2 Delta),
                                    -1/(2 Delta))
     .        ........        ..................
     N-3      z(t = N-3)      x(f = -3/(N Delta))
     N-2      z(t = N-2)      x(f = -2/(N Delta))
     N-1      z(t = N-1)      x(f = -1/(N Delta))
</pre>
   <p class="noindent">When N is even the location N/2 contains the most positive
and negative frequencies (+1/(2 \Delta), -1/(2 \Delta))
which are equivalent.  If N is odd then general structure of the
table above still applies, but N/2 does not appear.

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