Thank you, I'll try this. Interpolation by the sinc function is equivalent to what yiu get if you'll synthesize a smooth function by summing its Fourier component obtained via FFT of the data.
Nadav. ________________________________________ From: NumPy-Discussion <[email protected]> on behalf of Evgeni Burovski <[email protected]> Sent: 04 February 2016 11:42 To: Discussion of Numerical Python Subject: Re: [Numpy-discussion] [OT] Interpolation of an unevently sampled bandwidth limited signal On Thu, Feb 4, 2016 at 9:32 AM, Nadav Horesh <[email protected]> wrote: > I have several cases of hand digitized spectra that I'd like to resample > these spectra at even spacings. My problem is that cubic or RBF splines > often result in an unacceptible over-shooting. Is there a python module that > provides something similar to sinc interpolation on unevenly space sampled > signal? There are PCHIP and Akima interpolators in scipy.interpolate, both are designed to prevent overshooting at the expense of only being C1-smooth. (No idea about sinc interpolation) _______________________________________________ NumPy-Discussion mailing list [email protected] https://mail.scipy.org/mailman/listinfo/numpy-discussion _______________________________________________ NumPy-Discussion mailing list [email protected] https://mail.scipy.org/mailman/listinfo/numpy-discussion
