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Pregled bibliografske jedinice broj: 530683

Adaptive Instantaneous Frequency Estimation of Noisy Nonstationary Signals


Lerga, Jonatan
Adaptive Instantaneous Frequency Estimation of Noisy Nonstationary Signals, 2011., doktorska disertacija, Fakultet elektrotehnike i računarstva, Zagreb


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Naslov
Adaptive Instantaneous Frequency Estimation of Noisy Nonstationary Signals

Autori
Lerga, Jonatan

Vrsta, podvrsta i kategorija rada
Ocjenski radovi, doktorska disertacija

Fakultet
Fakultet elektrotehnike i računarstva

Mjesto
Zagreb

Datum
14.10

Godina
2011

Stranica
145

Mentor
Seršić, Damir ; Sučić, Viktor

Neposredni voditelj
Sučić, Viktor

Ključne riječi
Instantaneous frequency estimation; Time-frequency representation; Nonstationary signals; Monocomponent signals; Multicomponent signals; Components extraction; Adaptive lag window width; Relative intersection of confidence intervals (RICI) rule; Improved intersection of confidence intervals (ICI) rule

Sažetak
Methods for a noisy nonstationary signal instantaneous frequency (IF) estimation from its time-frequency representation (TFR) have been proposed. The IF estimation error exhibits bias and variance dependant on the TFR analysis window width. Due to the opposite tendency of bias and variance with respect to the lag window width, a proper width has been found as the one providing the bias-to-variance tradeoff that reduces the estimation error. The adaptive window widths have been obtained by the improved intersection of confidence intervals (ICI) rule, proposed in the thesis. In the case of multicomponent signals, the components IF estimation was preceded by their localization and extraction from the signal TFR using the modified adaptive algorithm proposed in this thesis. The IF estimation has resulted in error reduction by up to 73% for monocomponent signals and by up to 23% for multicomponent signals in terms of the mean squared error when compared to the original ICI-based method. It has been also shown that the estimates are significantly less sensitive to the initial window widths set selection. Furthermore, the highest improvement in the IF estimation accuracy was achieved in high noise environments, for which many of the existing methods are known to fail.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo

Napomena
Naslov rada na hrvatskom jeziku: Adaptivna procjena trenutne frekvencije zašumljenih nestacionarnih signala



POVEZANOST RADA


Projekti:
069-0362214-1575 - Optimizacija i dizajn vremensko-frekvencijskih distribucija (Sučić, Viktor, MZOS ) ( CroRIS)

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb,
Tehnički fakultet, Rijeka

Profili:

Avatar Url Jonatan Lerga (autor)


Citiraj ovu publikaciju:

Lerga, Jonatan
Adaptive Instantaneous Frequency Estimation of Noisy Nonstationary Signals, 2011., doktorska disertacija, Fakultet elektrotehnike i računarstva, Zagreb
Lerga, J. (2011) 'Adaptive Instantaneous Frequency Estimation of Noisy Nonstationary Signals', doktorska disertacija, Fakultet elektrotehnike i računarstva, Zagreb.
@phdthesis{phdthesis, author = {Lerga, Jonatan}, year = {2011}, pages = {145}, keywords = {Instantaneous frequency estimation, Time-frequency representation, Nonstationary signals, Monocomponent signals, Multicomponent signals, Components extraction, Adaptive lag window width, Relative intersection of confidence intervals (RICI) rule, Improved intersection of confidence intervals (ICI) rule}, title = {Adaptive Instantaneous Frequency Estimation of Noisy Nonstationary Signals}, keyword = {Instantaneous frequency estimation, Time-frequency representation, Nonstationary signals, Monocomponent signals, Multicomponent signals, Components extraction, Adaptive lag window width, Relative intersection of confidence intervals (RICI) rule, Improved intersection of confidence intervals (ICI) rule}, publisherplace = {Zagreb} }
@phdthesis{phdthesis, author = {Lerga, Jonatan}, year = {2011}, pages = {145}, keywords = {Instantaneous frequency estimation, Time-frequency representation, Nonstationary signals, Monocomponent signals, Multicomponent signals, Components extraction, Adaptive lag window width, Relative intersection of confidence intervals (RICI) rule, Improved intersection of confidence intervals (ICI) rule}, title = {Adaptive Instantaneous Frequency Estimation of Noisy Nonstationary Signals}, keyword = {Instantaneous frequency estimation, Time-frequency representation, Nonstationary signals, Monocomponent signals, Multicomponent signals, Components extraction, Adaptive lag window width, Relative intersection of confidence intervals (RICI) rule, Improved intersection of confidence intervals (ICI) rule}, publisherplace = {Zagreb} }




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