Name
Abstract | ||
|---|---|---|
This paper presents a signal identification algorithm for signals composed of a sum of periodic signals. This algorithm is based on the internal model principle. By using several internal models paralleled with a tuning function, this algorithm can predict or identify signals composed of multiple harmonics with uncertain frequencies amplitudes and relative phases. A desired band-pass filter can be incorporated into algorithm by selecting appropriate coefficients of the tuning function and internal models, which can reject the noise better and improve the performance. This work is based on previous work in continuous time [1], [2]. However a discrete implementation will be much more practical for implementation. The simulation result shows a good tracking of the original signal without disturbances. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ISSPIT.2018.8642749 | 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) |
Keywords | Field | DocType |
Band-pass filters,Transfer functions,Mathematical model,Cutoff frequency,Harmonic analysis,Frequency estimation,Time-frequency analysis | Pattern recognition,Band-pass filter,Computer science,Algorithm,Harmonic analysis,Transfer function,Harmonics,Time–frequency analysis,Artificial intelligence,Discrete time and continuous time,Cutoff frequency,Periodic graph (geometry) | Conference |
ISSN | ISBN | Citations |
2162-7843 | 978-1-5386-7568-7 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jie Chen | 1 | 91 | 38.15 |
| Lyndon J. Brown | 2 | 13 | 4.35 |
| Edris Mohsen | 3 | 0 | 0.34 |