Name
Abstract | ||
|---|---|---|
This paper introduces a new wavelet-based compression scheme that combines the use of linear approximation and parametric es- timation. Our proposed scheme differs from the conventional wavelet-based schemes in two ways: first, the encoder uses lin- ear approximation and second, the decoding process is non-linear as it is combined with parametric estimation. We consider a sim- ple model of one-dimensional (1-D) piecewise smooth function and show that, with our scheme, it is possible to achieve the same decay in the distortion-rate bound as conventional wavelet-based schemes that employ non-linear approximation. A practical compression al- gorithm that achieves the distortion bound and uses the new concept of sampling of signal with finite rate of innovation is also presented together with the simulation results. |
Year | Venue | Keywords |
|---|---|---|
2009 | EUSIPCO | approximation theory,signal sampling,wavelet transforms,decoding process,nonlinear approximation,one-dimensional piecewise smooth function,parametric estimation,semi-parametric compression,wavelet-based compression scheme |
Field | DocType | ISBN |
Linear approximation,Mathematical optimization,Algorithm,Encoder,Decoding methods,Data compression,Smoothness,Distortion,Piecewise,Mathematics,Wavelet | Conference | 978-161-7388-76-7 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Varit Chaisinthop | 1 | 0 | 0.34 |
| Dragotti, P.L. | 2 | 512 | 39.29 |