Basic 2d DFT - interpreting the coefficients

AI Thread Summary
The discussion focuses on understanding the coefficients of a 2D Discrete Fourier Transform (DFT) for a specific matrix. The matrix provided has a DFT result that includes a zero frequency term and complex coefficients, prompting questions about their meanings and relationships to frequencies. The zero frequency term represents the average value of the matrix, while the other coefficients in the top row relate to oscillations at specific frequencies. There is also a query about approximating the original function using a sum of sines and cosines based on the DFT results. Overall, the conversation seeks clarity on the interpretation of DFT coefficients and their connection to frequency representation.
elegysix
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Thanks for any help! I'm trying to understand the coefficients of a 2d DFT.

say we've got this matrix, f(a,b)

<br /> \left( \begin{array}{ccc}<br /> 9 &amp; 1 &amp; 9 \\<br /> 9 &amp; 1 &amp; 9 \\<br /> 9 &amp; 1 &amp; 9 \end{array} \right)<br />

I used wolfram alpha's function, Fourier{f(a,b)}
and the transform comes back as

<br /> \left( \begin{array}{ccc}<br /> 19 &amp; 4-6.93i &amp; 4+6.93i \\<br /> 0 &amp; 0 &amp; 0 \\<br /> 0 &amp; 0 &amp; 0 \end{array} \right)<br />the characteristic polynomial is 19x^{2} - x^{3}I know the coeffecient at (0,0) is an average of something, but what?
what are the other two coefficients in the top row?

If I do a matrix with a frequency in both directions, I get coefficients in the first column as well. What do they represent?

Is there enough information here to determine a function z(x,y) that approximates f(a,b)? (like a sum of sines and cosines)

three eigenvectors are given as well, if needed

thanks for your help!
 
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Would a moderator move this to the calculus section please? 126 views and no responses yet :(

thanks
 
I checked it out, but I don't think it answers my questions. At least not in a way that I comprehend.

How are the coefficients related to frequencies?
 
The 1-D DFT is the dot product of the signal with a vector containing a complex sinusoid which oscillates over the indices at a variable frequency, according to the given formula.

http://reference.wolfram.com/mathematica/ref/Files/Fourier.en/3.gif

If s was 1, we'd get the zero frequency because s-1 = 0 and e^(2∏i0) = 1 (a constant).

We haven't defined a sampling rate. So, I suppose I could call (s-1) the frequency. Since (r-1)/n would be from 0 to (n-1)/n (evenly spaced sampling in the interval 0 to 1), the number of oscillations of the complex sinusoid from r = 1 to n is the oscillations of a sinusoid with frequency (s-1) over a domain of length one.
 
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