Pragmatic Introduction to Signal Processing: Applications in scientific measurement. 2021 edition: An illustrated handbook with free software and spreadsheet templates to download

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, wavelet transforms and denoising, 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 500 published papers, theses, and patents.