I want to normalize the discrete fourier transform to its fundamental harmonic then from the spectral density function extract the kurtosis of the high and low frequencies.
I want to find the spread of the data in the low part and high part of the output of the DFT.
Please ask me any questions on this and I will try and explain.
Please use C# as the code, I have examples of DFT in C#
I use this link for FFT and iFFt
The numbers will be real numbers in an array upto 2048.
Power spectral density is based on Wiener–Khinchin theorem.
6 freelancers are bidding on average $182 for this job
Professional engineer is interested, I have experience in turbulence modeling
I am 4 years experienced in C#.Net & ASP.Net. So i am strongly interested about this job.
Hi, I'ma seasoned programmer with a degree in mathematics or in short - well trained for the task at hand. I could offer an even better rate if you can accept the project in Python. Good luck!