The use of optimally regularized Fourier series for estimating higher-order derivatives of noisy biomechanical data

Journal of Biomechanics

Volumn 14, Issue 1, 1981, Pages 13-18

  Hatze, H ^a  

^a DSI CSIR Nanotechnology Innovation Centre   (South Africa)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER PROGRAMMING - SUBROUTINES; MATHEMATICAL TECHNIQUES - APPROXIMATION THEORY;

DATA PROCESSING;

BIOMECHANICS; FOURIER TRANSFORMATION; INFORMATION PROCESSING; NOISE; SIGNAL NOISE RATIO; THEORETICAL STUDY;

BIOMECHANICS; COMPUTERS; FOURIER ANALYSIS; NOISE;

EID: 0019391814     PISSN: 00219290     EISSN: None     Source Type: Journal    
DOI: 10.1016/0021-9290(81)90076-2     Document Type: Article

References (10)

1. Numerical differentiation procedures for non-exact data
2. Numerical differentiation and regularization
3. A model for the computational determination of parameter values of anthropomorphic segments
4. An algorithm for computing higher order derivatives of noisy experimental data sequences
5. Fitting of mathematical functions to biomechanical data
6. Numerical differentiation of experimental data
7. An assessment of derivative determining techniques used for motion analysis
8. Calculation of derivatives and Fourier coefficients of human motion data, while using spline functions
9. On the use of spline functions for data smoothing
10. Fitting biomechanical data with cubic spline functions