Sinusoidal frequency estimation by eigenvector-based methods
| dc.contributor | Aalto-yliopisto | fi |
| dc.contributor | Aalto University | en |
| dc.contributor.author | Joutsensalo, Jyrki | |
| dc.contributor.department | Sähkötekniikan osasto | fi |
| dc.contributor.school | Teknillinen korkeakoulu | fi |
| dc.contributor.school | Helsinki University of Technology | en |
| dc.contributor.supervisor | Karhunen, Juha | |
| dc.date.accessioned | 2020-12-03T14:15:32Z | |
| dc.date.available | 2020-12-03T14:15:32Z | |
| dc.date.issued | 1991 | |
| dc.format.extent | 76 s. + liitt. 7 | |
| dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/80149 | |
| dc.identifier.urn | URN:NBN:fi:aalto-2020120338987 | |
| dc.language.iso | fi | en |
| dc.programme.major | Informaatiotekniikka | fi |
| dc.programme.mcode | Tik-61 | fi |
| dc.rights.accesslevel | closedAccess | |
| dc.subject.keyword | power spectral density | en |
| dc.subject.keyword | tehospektri | fi |
| dc.subject.keyword | MUSIC (Multiple Signal Classification) | en |
| dc.subject.keyword | MUSIC (Multiple Signal Classification) | fi |
| dc.subject.keyword | sensor arrays | en |
| dc.subject.keyword | sensorijonot | fi |
| dc.title | Sinusoidal frequency estimation by eigenvector-based methods | en |
| dc.title | Sinisignaalien taajuuksien estimointi ominaisvektorityyppisillä menetelmillä | fi |
| dc.type.okm | G2 Pro gradu, diplomityö | |
| dc.type.ontasot | Master's thesis | en |
| dc.type.ontasot | Pro gradu -tutkielma | fi |
| dc.type.publication | masterThesis | |
| local.aalto.digiauth | ask | |
| local.aalto.digifolder | Aalto_38314 | |
| local.aalto.idinssi | 6771 | |
| local.aalto.inssilocation | P1 Ark T80 | |
| local.aalto.openaccess | no |