Stability condition for PSV: cyclostationary detection
| Author(s) | : | Prashant K Shah |
| Institution | : | Department of Electronics Engineering SVNIT, SURAT |
| Published In | : | Vol. 5, Issue 1 — January 2018 |
| Page No. | : | 271-275 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
the Uses spectral correlation of cyclostationary signals to reduce effect of noise & interference on desiresignal. PSV filter exploits the cyclic frequencies of signal the more different cyclic frequencies the signals have, the moreeffective the filter will be. The stability criteria for two-dimensional (2-D) periodically shift variant (PSV) filters,represented instate space by the first model of FornasiniMarchesini (FM) with periodic coefficients is interestingchallenge. GivoneRoesser Model is an extension for 2-D representation an algorithm with using linear matrix inequalityis proposed to determine the stability of a given 2-D PSV system by sufficient conditions derived for stability analysis.
Prashant K Shah, “Stability condition for PSV: cyclostationary detection”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 1, pp. 271-275, January 2018.
