search for: resamp_power

...e are samples. Convert to long double. Use one long double FFT for the entire thing. Then, for both reference and resampled, let power[i] = sqrt(real[i]^2 + imag[i]^2). We only care about the lower half of this power (remember we padded with zeroes). Then, let SNR = sum[all i] abs(ref_power[i] / resamp_power[i] - 1.0) IE; SNR = 0 is a perfect signal. Everything else means the signal deviates. There are 3 SNR values posted below. The first value is the 0->4khz range (which for 48khz output means the lower 1/6th of the power spectrum). The second is the 0->8khz range (full original signal), and...

>> Yes, I plan to use it in a VoIP environment if I can get latency reduced to >> an acceptable level :) >> The latency depends directly on the overlap parameter, which also controls >> the quality. Higher quality => higher latency. You could set the overlap to >> 0, but that would give you some nasty artifacts. >> You can also resample with smaller block