Name
Abstract | ||
|---|---|---|
Analog filter implementation of continuous wavelet transform is considered as a promising technique for on-line spike detection applied in wearable electroencephalogram system. This Letter proposes a novel method to construct analog wavelet base for analog wavelet filter design, in which the mathematical approximation model in frequency domain is built as an optimization problem and the genetic algorithm is used to find the global optimum resolution. Also, the Gm-C filter structure based on LC ladder simulation is employed to synthesize the obtained analog wavelet base. The Marr wavelet filter is designed as an example using SMIC 1V 0.35 mu m CMOS technology. Simulation results show that the proposed method can give a stable analog wavelet filter with higher approximation accuracy and excellent circuit performance, which is well suited for the design of low-frequency low-power spike detector. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1587/elex.16.20190560 | IEICE ELECTRONICS EXPRESS |
Keywords | Field | DocType |
wavelet transform, ambulatory electroencephalogram, spike detection, Gm-C filter, genetic algorithm | Pattern recognition,Computer science,Electronic engineering,Artificial intelligence,Wavelet filter,Electroencephalography | Journal |
Volume | Issue | ISSN |
16 | 23 | 1349-2543 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wenshan Zhao | 1 | 1 | 2.44 |
| Lifei Ma | 2 | 15 | 7.45 |
| Yuzhen Zhang | 3 | 0 | 1.01 |
| Yi-gang He | 4 | 339 | 43.21 |
| Yichuang Sun | 5 | 225 | 60.38 |