Name
Abstract | ||
|---|---|---|
Chromatic derivatives are special, numerically robust differential operators that preserve spectral features of a signal; the associated chromatic approximations accurately capture local features of a signal. For this reason they allow digital processing of continuous time signals often superior to processing of discrete samples of such signals. We introduce a new concept of “matched filter” chrom... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TSP.2017.2787127 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
Fourier transforms,Signal representation,Timing,Chebyshev approximation,Standards,Digital signal processing | Signal processing,Digital signal processing,Mathematical optimization,Chromatic scale,Algorithm,Approximation theory,Fourier transform,Differential operator,Basis function,Matched filter,Mathematics | Journal |
Volume | Issue | ISSN |
66 | 6 | 1053-587X |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Aleksandar Ignjatovic | 1 | 556 | 49.24 |
| Chamith Wijenayake | 2 | 59 | 18.87 |
| Gabriele Keller | 3 | 657 | 36.02 |