Bruun's FFT algorithm: Difference between revisions

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m Recursive factorizations and FFTs: - Converted mathematical expressions
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Added link to "Polynomial remainder theorem"
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:<math>X_k = x(\omega_N^k) = x(z) \mod (z - \omega_N^k)</math>
 
where '''mod''' ([[modulo]]) denotes the [[Polynomial remainder theorem|polynomial remainder]] operation. The key to fast algorithms like Bruun's or Cooley-Tukey comes from the fact that one can perform this set of ''N'' remainder operations in recursive stages.
 
== Recursive factorizations and FFTs ==