Spectral Analysis – a Fourier transform tutorial – part #1

This is a basic tutorial about implementation of a standard Fourier transform model in Excel. It is not an introduction to Fourier analyis. You could choose to familiarize yourself with the subject before proceeding with this tutorial. Solving a few Fourier transform excersises would be of help too. Essentially, this part shows you how to adapt the general Fourier formula for a continuous real signal to a sampled signal having a limited number of samples.

6 Responses to “Spectral Analysis – a Fourier transform tutorial – part #1”

  1. Arup Mukerjee says:

    Just learning only

  2. RoGeorge says:

    This is the most concise, clear and intuitive representation I ever encountered until now and it elevated my understanding at a whole new level.
    After seeing this 6 slides, somebody could never possibly forget what FT is all about.

    THANK YOU, THANK YOU VERY MUCH!

  3. george says:

    Thanks for the comment RoGeorge. Actually I am rather concerned with the practical implementation than with the theoretical derivation. Numai bine, George

  4. Mir from Peshawar says:

    Sir so interesting work in excel can we get step by step videos of the tutorials Please tell me

  5. George says:

    Mir, I am to point now where I am to busy to make all these videos you reffer to. Sorry.

  6. sagar says:

    Sir ,
    I am doing the FFT of time vs velocity,which is having sampling rate of 1000 Hz and no of samples are 1024 every time i am getting the maximum power at zero frequency.I am feeling there is something wrong going please help me in this regard.

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