Name
Title | ||
|---|---|---|
Chromatic Derivatives and Approximations in Practice - Part II: Nonuniform Sampling, Zero-Crossings Reconstruction, and Denoising. |
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. In the first part of this paper, entitled “Chromatic Derivatives and Approximations in Practice - Part I: A General Framework,” we have derived a collection of formulas and theorems which we ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TSP.2017.2787149 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
Approximation error,Signal processing algorithms,Timing,Noise reduction,Signal to noise ratio,Robustness | Noise reduction,Digital signal processing,Chromatic scale,Control theory,Signal-to-noise ratio,Algorithm,Robustness (computer science),Differential operator,Approximation error,Mathematics,Nonuniform sampling | 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 |