Considerations in applying dynamic programming filters to the smoothing of noisy data

Journal of Biomechanical Engineering

Volumn 116, Issue 4, 1994, Pages 528-531

  Hodgson, Antony J ^a  

^a HARVARD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMECHANICS; DIFFERENTIATION (CALCULUS); DYNAMIC PROGRAMMING; HEURISTIC METHODS; SIGNAL FILTERING AND PREDICTION; SPURIOUS SIGNAL NOISE;

NOISY DATA SIGNALS; SIGNAL SMOOTHING;

MEDICAL COMPUTING;

ALGORITHM; ARTICLE; BIOMECHANICS; CONTAMINATION; DATA ANALYSIS; FILTER; NOISE; NONHUMAN;

ALGORITHMS; ARTIFACTS; BIAS (EPIDEMIOLOGY); DECISION TREES; FOURIER ANALYSIS; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOFTWARE;

EID: 0028533875     PISSN: 01480731     EISSN: 15288951     Source Type: Journal    
DOI: 10.1115/1.2895805     Document Type: Article

References (4)

1. Dohrmann, C. R., Busby, H. R., and Trujillo, D. M., “Smoothing Noisy Data Using Dynamic Programming and Generalized Cross-Validation,” ASME Journal of Biomechanical Engineering, Vol. 110, Feb. 1988, pp. 37-41.
2. Murphy, M. C., “Geometry and the Kinematics of the Normal Human Knee,” PhD thesis, Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 1990.
3. Press, W. H., Teukolsky, S. A., Vettering, W. T., and Flannery, B. P., “Savitzky-Golay Smoothing Filters,” Numerical Recipes in C: The Art of Scientific Computing, Second Edition, Cambridge University Press, 1992, pp. 65-105.
4. Busby, H. R., and Trujillo, D. M., “Numerical Experiments With a New Differentiation Filter,” ASME Journal of Biomechanical Engineering, Vol. 107, Nov. 1985, pp. 293-99.