Abstract
Based on wavelet transform theory, a method for signal de-noising and singularity detection and elimination is proposed, which can reduce the noises and express local singularity. Each singularity can also be detected and located through the local modulus maxima of wavelet transform. Simulation experiments are conducted with MATLAB software. The experimental results demonstrate that the method proposed in this paper is effective and feasible.
| Original language | English |
|---|---|
| Pages (from-to) | 509-513 |
| Number of pages | 5 |
| Journal | Journal of Beijing Institute of Technology (English Edition) |
| Volume | 20 |
| Issue number | 4 |
| Publication status | Published - Dec 2011 |
Keywords
- Industrial palletizing robot
- Photoelectric sensor
- Singularity
- Wavelet de-noising
- Wavelet transform