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dc.contributor.authorÖzden, Mehmet Tahir
dc.date.accessioned2021-06-05T19:57:09Z
dc.date.available2021-06-05T19:57:09Z
dc.date.issued2013
dc.identifier.issn1687-6180
dc.identifier.urihttps://doi.org/10.1186/1687-6180-2013-9
dc.identifier.urihttps://hdl.handle.net/20.500.12960/446
dc.description0000-0003-2689-3188en_US
dc.descriptionWOS:000321220600001en_US
dc.description.abstractA multichannel characterization for autoregressive moving average (ARMA) spectrum estimation in subbands is considered in this article. The fullband ARMA spectrum estimation can be realized in two-channels as a special form of this characterization. A complete orthogonalization of input multichannel data is accomplished using a modified form of sequential processing multichannel lattice stages. Matrix operations are avoided, only scalar operations are used, and a multichannel ARMA prediction filter with a highly modular and suitable structure for VLSI implementations is achieved. Lattice reflection coefficients for autoregressive (AR) and moving average (MA) parts are simultaneously computed. These coefficients are then converted to process parameters using a newly developed Levinson-Durbin type multichannel conversion algorithm. Hence, a novel method for spectrum estimation in subbands as well as in fullband is developed. The computational complexity is given in terms of model order parameters, and comparisons with the complexities of nonparametric methods are provided. In addition, the performance is visually and statistically compared against those of the nonparametric methods under both stationary and nonstationary conditions.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.relation.ispartofEurasip Journal on Advances in Signal Processingen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectParametric Modelingen_US
dc.subjectSubband Spectrum Estimation And Sensingen_US
dc.subjectFrequency Estimation And Trackingen_US
dc.subjectRadar And Speech Analysisen_US
dc.titleAdaptive multichannel sequential lattice prediction filtering method for ARMA spectrum estimation in subbandsen_US
dc.typearticleen_US
dc.departmentMühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.department-tempPiri Reis Univ, TR-34940 Istanbul, Turkeyen_US
dc.contributor.institutionauthorÖzden, Mehmet Tahir
dc.identifier.doi10.1186/1687-6180-2013-9
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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