Name
Title | ||
|---|---|---|
Super-Low Frequency Electromagnetic Noise Processing System Based On Adaptive Filtering |
Abstract | ||
|---|---|---|
Super Low Frequency electromagnetic prospecting methods, based on natural source, have seen an increasingly trend in geophysical applications. It is known that natural source electromagnetic signal is weak, and how to extract useful information has drew great attention wordwidely. In this paper, we designed a signal processing method, an adaptive filter, to filter out the strong power frequency interference at 50Hz and its harmonics mixed in the output signal from induction magnetic sensors. As the output could change with the input, the adaptive filter system is releated to its input signal closely and specificly. Because of its stronger adaptability and better filtering performance, the adaptive filter showed good effectiveness. |
Year | Venue | Keywords |
|---|---|---|
2015 | 2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | Super Low Frequency, electromagnetic, power frequency, adaptive filter |
Field | DocType | ISSN |
Computer science,Control theory,Filter bank,Electronic engineering,Low-pass filter,Artificial intelligence,Adaptive filter,Matched filter,Computer vision,Root-raised-cosine filter,Filter (signal processing),Kernel adaptive filter,Filter design | Conference | 2153-6996 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shanshan Zhao | 1 | 0 | 1.35 |
| Nan Wang | 2 | 0 | 1.69 |
| Li Chen | 3 | 0 | 3.04 |
| Jian Hui | 4 | 0 | 0.34 |
| Cheng Ye Zhang | 5 | 3 | 4.09 |
| Qi-ming Qin | 6 | 158 | 49.12 |