Are there any implementations of the following functionality in the KFR library, with intrinsics:
correlation of two vectors, with a single double-number output (Pearson correlation coefficient), and a correlation of two complex vectors;
shift of signal carrier frequency;
interpolation of signal samples with preservation of signal frequency characteristics (the one "resampling" on FFT is too slow) - like Farrow filter, using Lagrange polynomial?
I don't think pearson is very hard to calculate with correlation but I wonder too what else you can do with the FIR filter. Spuce has a farrow filter but not any kind of good convolution.
Hi.
Are there any implementations of the following functionality in the KFR library, with intrinsics:
I tried but didn't find it.