More help with FFT

Sorry for being such a noob, but I really need some help with WDL fft. From what I have gathered, if you do a complex DFT with N samples on a function with a defined real part in the time domain and with the time imaginary part zero, in the frequency domain you get the spectrum data in bins 0 through N/2 of both the real and imaginary parts (they are equal, I think) with the frequency of the bins from 0 to N/2 equal to the sample rate times the bin number divided by the FFT size. The bins N/2+1 to N-1 represent the negative frequency spectrum, and for the real part N/2+1 is equal to N/2-1, all the way to N-1 being equal to bin 1. Using this info which I'm not positively sure of, I tried doing some processing but get no output. Code:

Nobody, huh?

I haven't used the wdl fft, I guess what I'd check is: does it work just doing an fft then ifft? Is the scaling step needed? Does it work with a much simpler frequency curve (eg a straight line)?

Update: I think I figured out that I need to permute the FFT'd buffer before I apply the EQ function and then I need to un-permute it before I do the inverse FFT, something like this (I think, but I'm really taking a pretty wild guess here): Code:

Alright, I think I actually got it. From what I have gathered, the pos freqs go from 0 to N/2 where N = fftsize. That means that the pos freqs have 2 more bins than the neg freqs, which go from N/2 + 1 to N - 1. Here's an example I did of a hard high-pass, which is located where the "//do processing on sortedbuffer here" is in the previous code segment: Code: