A Pragmatic Introduction to Signal Processing: with applications in scientific measurement

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. Includes many demonstrations and real data examples, plus download links to many free Matlab/Octave scripts and functions plus spreadsheet templates which have been widely used and have been cited in over 160 published papers, theses, and patents.