Name
Abstract | ||
|---|---|---|
A method based on pattern matching in the undecimated discrete wavelet transform domain is introduced for the detection of a known transient with unknown parameters in the presence of 1/f noise. Maxima tracking techniques are used to reduce the computational complexity of the matching procedure by an order of magnitude, with minimal performance impact |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1109/78.839991 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
1/f noise,Gaussian noise,computational complexity,discrete wavelet transforms,pattern matching,signal detection,transients,1/f noise,DWT,computational complexity,known transient,maxima tracking techniques,pattern matching,transients detection,undecimated discrete wavelet transform,unknown parameters | Signal processing,Detection theory,Algorithm,Second-generation wavelet transform,Discrete wavelet transform,Stationary wavelet transform,Gaussian noise,Wavelet packet decomposition,Pattern matching,Mathematics | Journal |
Volume | Issue | ISSN |
48 | 5 | 1053-587X |
Citations | PageRank | References |
5 | 1.25 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thomas T Liu | 1 | 1022 | 76.03 |
| A. C. Fraser-Smith | 2 | 6 | 1.73 |