Mercurial > hg > ltpda
comparison m-toolbox/html_help/help/ug/sigproc_spec_content.html @ 0:f0afece42f48
Import.
| author | Daniele Nicolodi <nicolodi@science.unitn.it> |
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| date | Wed, 23 Nov 2011 19:22:13 +0100 |
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| 1 <p> | |
| 2 Spectral estimation is a branch of the signal processing, performed on data | |
| 3 and based on frequency-domain techniques.<br> | |
| 4 Within the LTPDA toolbox many functions of the Matlab <a href="matlab:doc('signal')" >Signal Processing Toolbox</a> | |
| 5 (which is required) were rewritten to operate on LTPDA Analysis Objects. | |
| 6 Univariate and multivariate technique are available, so to estimate for example the linear | |
| 7 power spectral density or the cross spectral density of one or more signals. The focus of the | |
| 8 tools is on time-series objects, whose spectral content needs to be estimated.<br> | |
| 9 More detailed help on spectral estimation can also be found in the help associated with | |
| 10 the Signal Processing Toolbox: | |
| 11 <table cellspacing="0" class="note" summary="Note" cellpadding="5" border="1"> | |
| 12 <tr width="90%"> | |
| 13 <td> | |
| 14 >> doc signal | |
| 15 </td> | |
| 16 </tr> | |
| 17 </table> | |
| 18 </p> |