Name
Abstract | ||
|---|---|---|
This letter introduces a new denoiser that modifies the structure of denoising autoencoder (DAE), namely noise learning based DAE (nlDAE). The proposed nlDAE learns the noise of the input data. Then, the denoising is performed by subtracting the regenerated noise from the noisy input. Hence, nlDAE is more effective than DAE when the noise is simpler to regenerate than the original data. To validat... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/LCOMM.2021.3091800 | IEEE Communications Letters |
Keywords | DocType | Volume |
Noise reduction,Training,Noise measurement,Random variables,Encoding,Decoding,Internet of Things | Journal | 25 |
Issue | ISSN | Citations |
9 | 1089-7798 | 2 |
PageRank | References | Authors |
0.37 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Woong-Hee Lee | 1 | 34 | 4.56 |
| Mustafa Ozger | 2 | 68 | 6.80 |
| Ursula Challita | 3 | 171 | 10.24 |
| Ki Won Sung | 4 | 338 | 38.25 |