Name
Abstract | ||
|---|---|---|
There are many signal processing tasks for which convolution-based continuous signal representations such as splines and wavelets provide an interesting and practical alternative to the more traditional sine-based methods. The coefficients of the corresponding signal approximations are typically obtained by direct sampling (interpolation or quasi-interpolation) or by using least squares techniques... |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1109/78.599940 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
Least squares approximation,Sampling methods,Convolution,Polynomials,Least squares methods,Signal processing,Signal representations,Continuous wavelet transforms,Signal sampling,Interpolation | Least squares,Mathematical optimization,Continuous signal,Polynomial,Convolution,Interpolation,Sampling (statistics),Non-linear least squares,Mathematics,Pointwise | Journal |
Volume | Issue | ISSN |
45 | 7 | 1053-587X |
Citations | PageRank | References |
41 | 7.58 | 12 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Unser, M. | 1 | 3438 | 442.40 |
| Ingrid Daubechies | 2 | 2034 | 397.74 |