C07-data_smoothing

C07-data_smoothing - Chem 227Fall 2010 C7: Data Smoothing,...

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Chem 227–Fall 2010 C7: Data Smoothing, Averaging, and Noise Due Thursday, October 28 Objective: This assignment will help you learn how to manipulate large arrays of data with a spreadsheet. Also, you will learn the meaning of signal-to-noise ratio, S/N, and how to use signal averaging and moving average (or boxcar) smoothing as simple methods to filter noise. You will investigate how each method affects S/N and the advantages and disadvantages of each. The data for this exercise are a series of 16 scans of the mass spectrum of the polypeptide gramicidin S, which were obtained by ion cyclotron resonance mass spectrometry (or Fourier transform MS). The digitized spectra are in sigave.csv in the homework data section of the class website. The file is quite large, and one of the challenges of this exercise is to learn to manipulate large matrices of data. In particular, you should format your plots so that no markers are displayed for the data points but only lines connecting the points. Otherwise screen refreshing may be slow and some printers may not have sufficient memory to print your graphs. Part I
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This note was uploaded on 03/15/2012 for the course CHEM 227 taught by Professor Stevengoates during the Fall '10 term at BYU.

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C07-data_smoothing - Chem 227Fall 2010 C7: Data Smoothing,...

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