Name
Abstract | ||
|---|---|---|
A novel multivariate signal denoising method is presented that computes Mahalanobis distance measure at multiple data scales obtained from multivariate empirical mode decomposition (MEMD) algorithm. That enables joint multichannel data denoising directly in multidimensional space RN where input signal resides, by employing interval thresholding on multiple data scales in RN. We provide theoretical... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/LSP.2019.2932715 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Noise reduction,Covariance matrices,Correlation,Signal processing algorithms,Gaussian noise,Thresholding (Imaging),Signal denoising | Noise reduction,Data-driven,Pattern recognition,Multivariate statistics,Communication channel,Mahalanobis distance,Correlation,Artificial intelligence,Thresholding,Gaussian noise,Mathematics | Journal |
Volume | Issue | ISSN |
26 | 9 | 1070-9908 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Naveed ur Rehman | 1 | 84 | 12.66 |
| Bushra Khan | 2 | 0 | 0.34 |
| Khuram Naveed | 3 | 1 | 2.72 |