A practical introduction to signal processing in scientific measurement, for scientists, engineers, researchers, instructors, and students working in academia, industry, environmental, medical, engineering, earth science, space, military, financial, and agriculture. Includes such topics as smoothing, differentiation, peak detection, integration and peak area measurements, harmonic analysis, convolution and deconvolution, Fourier filtering, least-squares curve fitting, multi-component spectroscopy, nonlinear iterative least-squares peak fitting, and calibration. Provides many demonstrations and real data examples, plus download links to many free Matlab/Octave scripts and functions plus spreadsheet templates which has been widely used and have been cited in over 435 published papers, theses, and patents.
A Pragmatic Introduction to Signal Processing with applications in scientific measurement (2020 edition): An illustrated book with free software and spreadsheet templates to download
$60.00
This textbook provides in-depth knowledge on signal processing, a key topic in advanced STEM fields like engineering and computer science.
Additional information
| Weight | 1.352 lbs |
|---|---|
| Dimensions | 21.6 × 2.9 × 27.9 in |
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