Name
Abstract | ||
|---|---|---|
A climatic record given by isotopic composition of ice from Dome C (Antarctica) is studied using evolutive spectral analysis by AR process. Problems which occur when trends and non periodic accidents are present in the signal are examined. Experimental studies show that filtering with a smooth time limited window is better than the use of filters with abrupt cut-off frequencies. |
Year | DOI | Venue |
|---|---|---|
1982 | 10.1109/ICASSP.1982.1171822 | Acoustics, Speech, and Signal Processing, IEEE International Conference ICASSP '82. |
Keywords | Field | DocType |
time frequency analysis,data analysis,low pass filters,convolution,signal processing,cutoff frequency,sampling methods | Signal processing,Computer science,Low-pass filter,Artificial intelligence,Cutoff frequency,Climatology,Pattern recognition,Filter (signal processing),Time–frequency analysis,Sampling (statistics),Spectral analysis,Statistics,Periodic graph (geometry) | Conference |
Volume | Citations | PageRank |
7 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Benoist, J. | 1 | 0 | 0.34 |
| F. Glangeaud | 2 | 9 | 2.96 |
| Nadine Martin | 3 | 13 | 3.07 |
| Jean-Louis Lacoume | 4 | 62 | 12.13 |