A Pragmatic* Introduction to Signal Processing

 with applications in scientific measurement

An illustrated essay with free software to download

Last updated August 15, 2016

A retirement project by Tom O'Haver , Professor Emeritus
Department of Chemistry and Biochemistry
University of Maryland at College Park
Have a question or suggestion? E-mail me: toh@umd.edu
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No cost, no ads, no sign-in/registration, no eye candy, no frames, no hype, no Java, no Flash, no kidding. Completely free since 1993.

This essay is also available as a 138-page, indexed, printable document written in OpenOffice and saved in
Open Document** , Word   , and PDF formats. August 15, 2016 version.  Readability index

A paperback printed version is available from Amazon CreateSpace in black-and-white ($11.00 US) and in full color ($30.00 US).
This entire web site can be downloaded in archived ZIP format complete with all linked software (135 MBytes).
Who uses this site?    Feedback from users.   Site search:

Introduction Fourier deconvolution 
Signal arithmetic  Fourier filter
Signals and noise  Integration and peak area measurement 
Smoothing  Curve fitting A: Linear Least Squares 
Differentiation  Curve fitting B: Multicomponent Spectroscopy 
Peak Sharpening
 Curve fitting C: Non-linear Iterative Curve Fitting 
Harmonic analysis Hyperlinear quantitative absorption spectrophotometry 
Fourier convolution
Appendix and Case Studies

* Pragmatic: Relating to matters of fact or practical affairs, often to the exclusion of intellectual or artistic matters; practical as opposed to idealistic.
** What is Open Document format? See http://www.coolutils.com/Formats/ODT

List of downloadable spreadsheets and Matlab/Octave functions and scripts

Interactive Signal Processing Tools for Matlab

  Peak Finding and Measurement 
 Interactive Fourier Filter
 Interactive Smoothing, Derivative, and Signal Analysis 
 Peak Fitter 
 Interactive Power Spectrum Demo 
 Interactive Peak Fitter  

Areas of application where these programs are being applied  (PDF file)

Citations in published papers  (PDF file)


Software used in this essay


Matlab, a high-performance commercial numerical computing environment and programming language that is widely used in research and education, for Windows, Macintosh, and Linux.


  

Octave, a free alternative to Matlab, mostly compatible, for Windows, Macintosh, and Linux.


 

SPECTRUM, simple, freeware, 90s-era signal processing program, for Macintosh OS 8.


Click to enlarge    Click to
          enlarge

Microsoft Excel 2013                    OpenOffice Calc 4.1.1



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Copyright (c) 2016, Thomas C. O'Haver (toh@umd.edu)
 
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.


THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
First edition created in 1995. Last updated August, 2016. Created with SeaMonkey. This site is a retirement project and international community service, maintained by Prof. Tom O'Haver, Professor Emeritus, Department of Chemistry and Biochemistry, The University of Maryland at College Park. Comments, suggestions and questions should be directed to Prof. O'Haver at toh@umd.edu, currently residing in Naples, FL.

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