Compression of surface texture acceleration signal based on spectrum characteristics
The study proposes a spectral feature-based compression method for vibrotactile acceleration signals, which achieves high time-frequency similarity and a 10% compression ratio. The method is suitable for long-term data compression and can further reduce the compression ratio for multi-interaction points.