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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Grenier, Y. |
| Copyright Year | 1982 |
| Description | Author affiliation: Ecole Nationale Superieure Des Telecommunications, Paris Cedex, France (Grenier, Y.) |
| Abstract | Modeling of non-stationary signals can be achieved through time-dependent lattices and auto-regressive models. This method leads to an extension of several well-known techniques of stationary spectral estimation to the non-stationary case. Time varying AR models are identified by means of a fast Levinson algorithm, while the time-dependent reflexion coefficients of the lattice are estimated through an algorithm which is similar to Burg's. The context of these methods is off-line (blockwise) estimation. |
| Starting Page | 1337 |
| Ending Page | 1340 |
| File Size | 80352 |
| Page Count | 4 |
| File Format | |
| DOI | 10.1109/ICASSP.1982.1171452 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1982-05-03 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Lattices Parameter estimation Speech analysis Filters Signal synthesis Speech synthesis Speech recognition Signal processing Electrical capacitance tomography Linearity |
| Content Type | Text |
| Resource Type | Article |
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