A Pragmatic Introduction to Signal Processing

12-29 10:06

  I support the March for Science

A Pragmatic * Introduction to Signal Processing

with applications in scientific measurement

An illustrated essay with free software to download

This is a work in progress, last updatedDecember 24, 2017. (Recently updated files)

Aretirement project byTom 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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This essay is also available as a 150-page, indexed , printable document written in OpenOffice and saved in

December 24 , 2017 version.   Readability index

A paperback printed version is available from Amazon CreateSpace in black-and-white ($11.00 US) and in color ($30.00 US).

This entire web site can be downloaded in archivedHTML format complete withall linked software (150 MBytes).

Who uses this site?      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

A Combination of Methods

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

The Animated Zoo of Tools and Demos

 Catalog of downloadable software

Comparison of Interactive Signal Processing Tools for Matlab

Spreadsheets for Measurement Calibration

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

Matlab File Exchange " Pick of the Week "

 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.

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 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 December, 2017. Created with SeaMonkey . This site is aretirement project and international community service , maintained byProf. Tom O'Haver, Professor Emeritus,

Department of Chemistry and Biochemistry, The University of Maryland at College Park, currently residing in Naples, FL. Comments, suggestions and questions should be directed to Prof. O'Haver attoh@umd.edu, currently residing in Naples, FL, and in Silver Spring, MD.

A Brief History of Mine

using the Google Books Ngram Viewer

Digital began to pull away from analog in the 1950s and now completely dominates.

In the mid 1990s, Web sites began to dominate earlier publishing technologies.

Transistors, invented in the late 1940s, pulled ahead of vacuum tunes in the 50s. By the early 80s, integrated circuits chips were dominant.

Statistics and quantitative signal and data processing have long been important, using computers after the 1950s.

"Derivative", "smoothing", and "convolution" are old concepts, but other signal processing terms don't become common until more recently.

The most common derivative orders have long been the first and second; higher older are much less used.

The Savitzky-Golay smooth is now the most often mentioned data smoothing technique. (What was going on the "triangular smooth" in the 1800s?)

原文链接:https://terpconnect.umd.edu/~toh/spectrum/?utm_source=tuicool&utm_medium=referral
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