One interesting aspect of the FFT when applying it to slower environmental datasets: The key to getting better resolution from the Fourier when you are limited to a fixed number of data points is to decrease the sample frequency (and thus increase the overall sampling time) So we released a video demonstrating that optimization using Excel's Fourier transform to derive a tidal frequency spectrum: th-cam.com/video/0VzX-3erjPI/w-d-xo.html
@@yourdataispublic The Nyquist theorem just states that in order to get an accurate measure of your sample (when converting from analog to digital), your sampling rate should be 2X the maximum frequency you are looking to describe in any analysis after digitization. So that does not account for the reflection of the wave.
This video has helped so much for my IYPT Presentation. Thanks!!
Your presentation helped me to complete a formulated FFT spreadsheet without the Analysis add-in.
Thank you! Great video. Should sound be plotted on log scale because of sound?
One interesting aspect of the FFT when applying it to slower environmental datasets: The key to getting better resolution from the Fourier when you are limited to a fixed number of data points is to decrease the sample frequency (and thus increase the overall sampling time) So we released a video demonstrating that optimization using Excel's Fourier transform to derive a tidal frequency spectrum: th-cam.com/video/0VzX-3erjPI/w-d-xo.html
So how do you do a von Hann window with the FFT in excel?
i don't understand when you at the column the frequency you re dividing by 2050
he's not dividing by 2050, he is dividing by the value in cell D2050 which is the total elapsed time 0.08
How do you have negative time values?
he is clueless
You just glance over the fact that on either side of your FFT graph it's a copy of itself why is this?
Think it's due to Nyquist theorem
@@yourdataispublic The Nyquist theorem just states that in order to get an accurate measure of your sample (when converting from analog to digital), your sampling rate should be 2X the maximum frequency you are looking to describe in any analysis after digitization. So that does not account for the reflection of the wave.
Good video