An Introduction to Signal Processing in Chemical Analysis

1. Introduction
2. Signal arithmetic
3. Signals and noise
4. Smoothing
5. Differentiation
6. Resolution enhancement
7. Harmonic analysis
8. Convolution
9. Deconvolution
10. Fourier filter
11. Integration and peak area measurment
12. Curve fitting A: Linear Least Squares
13. Curve fitting B: Multicomponent Spectroscopy
14. Curve fitting C: Non-linear Iterative Curve Fitting

Software used to generate the figures and examples:

• SPECTRUM, simple freeware program for Macintosh

• Programs written for Matlab (PC, Macintosh, or Unix)
  • Peak Finding and Measurement
  • Interactive Smoothing
  • Interactive Derivative
  • Interactive Resolution Enhancement
  • Interactive Power Spectrum Demo
  • Interactive Fourier Filter
  • Interactive Peak Fitter
  • The TFit Method for quantitative absorption spectroscopy

Unsolicited Comments from Users:

"I find your Introduction an excellent starting point."

" ... very useful for teaching in an Instrumentation course for M.Sc postgraduates in analytical chemistry. The sequence of the topics and the explanations are very clear."

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"I tried the demo version of SPECTRUM and I think is a very useful tool for the introduction of signal processing to analytical chemistry students."

" ... a splendid program."

"I have been reviewing your webpage on signal processing and am very impressed with the clarity of the presentation."