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Fast Fourier Transforms on Motorola's Digital Signal Processors

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“Data<br />

acquisiti<strong>on</strong> <strong>on</strong><br />

the DSP96002 is<br />

truly parallel<br />

with CPU<br />

instructi<strong>on</strong><br />

executi<strong>on</strong>.”<br />

A real-valued input FFT is a special case of the complex<br />

FFT where all imaginary comp<strong>on</strong>ents in the input<br />

are zero. Under this c<strong>on</strong>diti<strong>on</strong>, input sequence is real,<br />

and the time sequence has a symmetric <str<strong>on</strong>g>Fourier</str<strong>on</strong>g> transform<br />

in the frequency domain. Only half of the<br />

frequency sequence needs to be computed for realvalued<br />

input FFTs or real FFTs. Recall the definiti<strong>on</strong><br />

of the DFT:<br />

X( k)<br />

x()e r<br />

j2πrk ( ) N ⁄ –<br />

=<br />

N– 1<br />

∑ k<br />

r = 0<br />

= 0, 1,<br />

N– 1<br />

∑<br />

If x(r) is real,<br />

X∗( – k)<br />

x()e r<br />

j2πrk ( ) N ⁄<br />

x()e r<br />

j2πrk ( ) N ⁄ –<br />

= = =<br />

r = 0<br />

N– 1<br />

∑<br />

and<br />

N– 1<br />

∑<br />

r = 0<br />

…N–<br />

1<br />

X( k)<br />

X∗( N– k)<br />

x∗()e∗ r<br />

j – ( ) 2πrN k – ( ( ) ) N ⁄<br />

x()e r<br />

j2πrk ( ) N ⁄ –<br />

= = =<br />

r = 0<br />

SECTION 6<br />

Real-Valued Input<br />

FFT Algorithm<br />

N– 1<br />

r = 0<br />

Eqn. 6-1<br />

Eqn. 6-2<br />

Eqn. 6-3<br />

MOTOROLA 6-1<br />

∑<br />

X( k)

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