DemoC3 - Sheet1 Page 1 Demonstration: Smoothing data using...

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Unformatted text preview: Sheet1 Page 1 Demonstration: Smoothing data using Fourier transforms Author: Robert F. Murphy, March 29, 1995 amplitude period < This section contains constants for generating a After trimming the FFT, the sine: 0.2 1.570796327 < periodic function with two components differing high freq cutoff smoothed data is obtained by cosine: 1 0.196349541 < in amplitude and period. 0.1 taking the inverse FFT. Use the Fourier Analysis tool, click the Inverse box and To update the fft, select Tools:Data Analysis:Fourier Analysis, click the button for specify G12:G75 as input & Output Range, enter C12:C75 as input range and D12:D75 as output range. J12:J75 as output range. n f before smooth fft fft real part fft imag part trimmed fft real trimmed imag trimmedinverse fft (complex) after smoothinorig-smooth 1 0 #NAME? #NAME? 0 #NAME? #NAME? 1 #NAME? #NAME? 1 1.18078528 0 #NAME? #NAME? 0 #NAME? #NAME? 0.980785280403231 #NAME? #NAME? 2 0.015625 0.923879533 32 #NAME? #NAME? 32 #NAME? #NAME? 0.923879532511287 #NAME? #NAME? 3 0.03125 0.631469612 0 #NAME? #NAME? 0 #NAME? #NAME? 0.831469612302546 #NAME? #NAME? 4 0.046875 0.707106781 0 #NAME? #NAME? 0 #NAME? #NAME? 0.707106781186548 #NAME? #NAME? 5 0.0625 0.755570233 0 #NAME? #NAME? 0 #NAME? #NAME? 0.555570233019603 #NAME? #NAME? 6 0.078125 0.382683432 0 #NAME? #NAME? 0 #NAME? #NAME? 0.382683432365091 #NAME? #NAME? 7 0.09375 -0.00490968 0 #NAME? #NAME? 0 #NAME? #NAME? 0.19509032201613 #NAME? #NAME? 8 0.109375 -3.674E-017 0 #NAME? #NAME? #NAME? #NAME? #NAME? 0 #NAME? #NAME?...
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This note was uploaded on 03/04/2012 for the course BIO 510 taught by Professor Miller during the Fall '06 term at Carnegie Mellon.

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