arXiv Open Access 2021

Singularity and Similarity Detection from Signals Using Wavelet Transform

Hua-Liang Wei S. A. Billings

Lihat Sumber

Abstrak

The wavelet transform and related techniques are used to analyze singular and fractal signals. The normalized wavelet scalogram is introduced to detect singularities including jumps, cusps and other sharply changing points. The wavelet auto-covariance is applied to estimate the self-similarity exponent for statistical self-affine signals.

Topik & Kata Kunci

eess.SP

Penulis (2)

Hua-Liang Wei

S. A. Billings

Format Sitasi

APA MLA BibTeX

Wei, H., Billings, S.A. (2021). Singularity and Similarity Detection from Signals Using Wavelet Transform. https://arxiv.org/abs/2110.15825

Akses Cepat

Lihat di Sumber

Informasi Jurnal

Tahun Terbit: 2021
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓