Name
Abstract | ||
|---|---|---|
In this lecture note, we describe a wavelet domain denoising method consisting of making orthogonal projections of wavelet (subbands) signals of the noisy signal onto an upside down pyramid-shaped region in a multidimensional space. Each horizontal slice of the upside down pyramid is a diamond shaped region and it is called an -ball. The upside down pyramid is called the epigraph set of the -norm ... |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/MSP.2015.2440051 | IEEE Signal Processing Magazine |
Keywords | Field | DocType |
Noise reduction,Wavelet transforms,Signal processing algorithms,Noise,Cost function,Wavelet domain,Noise measurement | Computer vision,Pattern recognition,Lifting scheme,Computer science,Second-generation wavelet transform,Discrete wavelet transform,Artificial intelligence,Cascade algorithm,Stationary wavelet transform,Wavelet packet decomposition,Wavelet transform,Wavelet | Journal |
Volume | Issue | ISSN |
32 | 5 | 1053-5888 |
Citations | PageRank | References |
8 | 0.60 | 7 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| A. Enis Çetin | 1 | 871 | 118.56 |
| Mohammad Tofighi | 2 | 65 | 8.74 |