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FAST FOURIER TRANSFORM
By
Mrs.R.Chitra,
Assistant Professor(SS),
Department of ECE,
School of Engineering,
Avinashilingam Institute for Home Science and Higher
Education for Women, Coimbatore
FAST FOURIER TRANSFORM
• Fast Fourier transform reduces the time of
computation and also number of
computations to be performed.
• It also improves the performance when
compared to discrete Fourier transform.
• FFT can also be known as DIVIDE AND
CONQUER ALGORITHM.
There are basically two classes of FFT
algorithms,they are
 Decimation in time(DIT)
 Decimation in frequency(DIF)
STEPS TO EXECUTE FFT
• Divide the data set into two or more sub data
sets.
• Solve each sub data set recursively and
terminate the recursion when the data set
length is small.
• Obtain the solution to the original data swt by
combining the solution to the each sub data
sets.
DECIMATION IN TIME ALGORITHM
This algorithm is also known as Radix-2 DIT FFT.
DECIMATION IN FREQUENCY
ALGORITHM
APPLICATIONS OF FOURIER
TRANSFORM
• It can be used for analysis of large data
sets.For example,communication signals over
a period of time (information from the
satellite),electrocardiogram from the human
body.

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Fast fourier transform

  • 1. FAST FOURIER TRANSFORM By Mrs.R.Chitra, Assistant Professor(SS), Department of ECE, School of Engineering, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore
  • 2. FAST FOURIER TRANSFORM • Fast Fourier transform reduces the time of computation and also number of computations to be performed. • It also improves the performance when compared to discrete Fourier transform. • FFT can also be known as DIVIDE AND CONQUER ALGORITHM.
  • 3. There are basically two classes of FFT algorithms,they are  Decimation in time(DIT)  Decimation in frequency(DIF)
  • 4. STEPS TO EXECUTE FFT • Divide the data set into two or more sub data sets. • Solve each sub data set recursively and terminate the recursion when the data set length is small. • Obtain the solution to the original data swt by combining the solution to the each sub data sets.
  • 5. DECIMATION IN TIME ALGORITHM This algorithm is also known as Radix-2 DIT FFT.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27.
  • 28. APPLICATIONS OF FOURIER TRANSFORM • It can be used for analysis of large data sets.For example,communication signals over a period of time (information from the satellite),electrocardiogram from the human body.