A Pragmatic^* Introduction to Signal Processing

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

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)

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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. Lower-cost Home and Student versions available.

Octave, a freely downloadable alternative to Matlab, almost completely 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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