Computer Aided Geometric Design - Special issue: Topics in CAGD
Ten lectures on wavelets
Curves and surfaces for computer aided geometric design (3rd ed.): a practical guide
Curves and surfaces for computer aided geometric design (3rd ed.): a practical guide
An introduction to wavelets
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
Wavelets for computer graphics: theory and applications
Wavelets for computer graphics: theory and applications
Discrete-time signal processing (2nd ed.)
Discrete-time signal processing (2nd ed.)
Animating rotation with quaternion curves
SIGGRAPH '85 Proceedings of the 12th annual conference on Computer graphics and interactive techniques
A C/sup 2/-continuous B-spline quaternion curve interpolating a given sequence of solid orientations
CA '95 Proceedings of the Computer Animation
Online modulation recognition of analog communication signals using neural network
Expert Systems with Applications: An International Journal
Expert system based on artificial neural networks for content-based image retrieval
Expert Systems with Applications: An International Journal
A B-wavelet-based noise-reduction algorithm
IEEE Transactions on Signal Processing
Expert Systems with Applications: An International Journal
Adaptive chaotic noise reduction method based on dual-lifting wavelet
Expert Systems with Applications: An International Journal
Constructing 3D motions from curvature and torsion profiles
Computer-Aided Design
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A B-spline wavelet-based agent is proposed in this paper to remove impulsive noise embedded in noisy rigid body motion data. The motion of a rigid body consists of translation and orientation; the former is described by a space curve in three-dimensional Euclidean space, whereas the latter is represented by a curve in the unit quaternion space. Rigid body motion data acquired from electronic measurement devices usually contain noise of various patterns and magnitudes, and may contain structured noise such as impulsive spikes. In order to remove such impulsive noise from noisy motion data, the noisy motion data are decomposed using multiresolution analysis, and the noise components are identified as coefficients of high magnitude. By smoothing these high-magnitude coefficients, a smoother representation of noisy motion data is achieved.