I'm working on the second derivative analysis of IR data. The signal to noise loses are currently such that my second derivatives are noise mush (even after smoothing). In working with a colleague, he suggested using a FFT filter smoothing. Is there a build in function in Igor similar to FFT filter smoothing in Origin?
I don't know if it is the same as Origin, but the Analysis menu of recent Igors (version 6 or later) has a Filter... menu item that may do what you want.
Take also a look at the Discrete Wavelets Transform (operation DWT [/D for denoising] [/S for smoothing]) (cf p.1286/1994 in the manual)
Take your time to analyze the syntax, then test with different parameters (thresholds, kind of wavelets...), make sure to specify the /P flag.
Type your command in the command window, and you should be able to get a clean signal.
--Jim Prouty
Software Engineer, WaveMetrics, Inc.
January 7, 2011 at 04:33 pm - Permalink
January 18, 2011 at 05:15 am - Permalink
Take also a look at the Discrete Wavelets Transform (operation DWT [/D for denoising] [/S for smoothing]) (cf p.1286/1994 in the manual)
Take your time to analyze the syntax, then test with different parameters (thresholds, kind of wavelets...), make sure to specify the /P flag.
Type your command in the command window, and you should be able to get a clean signal.
Best Regards
January 18, 2011 at 08:48 am - Permalink