Description: Preface. 1. Statistical Evaluation for Data Quality. 2. Least-Squares Methods: The concept of 'least-squares'. Coverage of curve fitting, and general application of least squares. Care with posing least-squares problems and solutions. Application to 'full field' stress analysis. Nonlinear least-squares approximations. Application to study of mechanical material properties. 3. The Smoothed Spline: Piecewise approximation; spline functions. The smoothed spline; specifying boundary second derivatives. Applications to photoelasticity and to deformation and strain analysis of extrusion. 4. Fourier Transform Methods: Fourier series and the discrete Fourier transform. The Fast Fourier transform, combined use of DFT and FF. Application to electromechanical transducer signals and to gait analysis. 5. Digital Filters: Filtering of continuous and then discrete experimental data. The cutoff frequency. The difference equation and the solution for filtered data. Single pass and two-pass filters; higher order filters; a high pass filter. Filter applications to transducer data. 6. Differentiation and Integration: Differentiation, integration, and discrete experimental data. Local approximation functions to compute derivatives. Integration using Newton-Cotes formulas. Example applications using transducer data. Appendix: Computer programs for all methods described. Available electronically Compiled programs, data to reproduce results in book, or for use with reader's data.

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