MICHELA TARTAGLIONE

PhD Graduate

PhD program:: XXXIII



Thesis title: Analysis and decomposition of frequency modulated multicomponent signals

Frequency modulated (FM) signals involve many research fields, including seismology, astrophysics, biology, acoustics, animal echolocation, radar and sonar. They are referred as multicomponent signals (MCS), as they are generally composed of multiple waveforms, with specific time-dependent frequencies, known as instantaneous frequencies (IFs). In many applications, the extraction of signal characteristics (i.e. amplitudes and IFs) is required, that is why MCS decomposition is an important topic in signal processing. It consists of the recovery of each individual mode and it is often performed by IFs separation. The task becomes very challenging if signal modes overlap in the TF domain, i.e. they interfere with each other, at the so-called non-separability region and, for this reason, a general solution to MCS decomposition is not available yet. As a matter of fact, existing methods for overlapping modes decomposition all have the same limitations: they are parametric ---i.e. they adapt only to the assumed signal class, or they rely on signal-dependent and parametric TF representations--- otherwise, they are interpolation techniques---i.e. they almost ignore information corrupted by interference and recover IF curve by some fitting procedures, resulting in high computational cost and bad performances against noise. This thesis aims at overcoming these drawbacks, providing efficient tools for dealing with MCS with interfering modes. An extended state-of-the-art revision is provided, as well as the mathematical tools and main definitions needed to introduce the topic. Then, the problem is addressed following two main strategies: the former is an iterative approach that aims at enhancing MCS' resolution in the TF domain; the latter is a transform-based approach, that combines TF analysis and Radon Transform for separating individual modes. As main advantage, methods derived from both the iterative and the transform-based approaches are non-parametric, as they do not require specific assumptions on the signal class. As confirmed by the experimental results, the proposed approach provides a contribution to solve a challenging problem in TF analysis of FM-MCS, with a consequent improvement of the state of the art.

Research products

11573/1696446 - 2024 - Solution of the EEG inverse problem by random dipole sampling
Della Cioppa, Lorenzo; Tartaglione, Michela; Pascarella, Annalisa; Pitolli, Francesca - 01a Articolo in rivista
paper: INVERSE PROBLEMS (-Bristol : Institute of Physics, 1985 -Bristol IOP Publishing Limited) pp. - - issn: 0266-5611 - wos: WOS:001131946700001 (1) - scopus: 2-s2.0-85181125562 (1)

11573/1494429 - 2022 - Coherence of PRNU weighted estimations for improved source camera identification
Bruni, V.; Tartaglione, M.; Vitulano, D. - 01a Articolo in rivista
paper: MULTIMEDIA TOOLS AND APPLICATIONS (Kluwer Academic Publishers:Journals Department, PO Box 322, 3300 AH Dordrecht Netherlands:011 31 78 6576050, EMAIL: frontoffice@wkap.nl, kluweronline@wkap.nl, INTERNET: http://www.kluwerlaw.com, Fax: 011 31 78 6576254) pp. - - issn: 1380-7501 - wos: WOS:000613993900003 (4) - scopus: 2-s2.0-85100403344 (4)

11573/1652347 - 2022 - Skeleton-based reassignment of nonstationary signals spectrogram
Bruni, V.; Tartaglione, M.; Vitulano, D. - 01a Articolo in rivista
paper: DIGITAL SIGNAL PROCESSING (Academic Press Incorporated:6277 Sea Harbor Drive:Orlando, FL 32887:(800)543-9534, (407)345-4100, EMAIL: ap@acad.com, INTERNET: http://www.idealibrary.com, Fax: (407)352-3445) pp. 103635- - issn: 1051-2004 - wos: WOS:000830919800002 (3) - scopus: 2-s2.0-85134171219 (4)

11573/1494098 - 2021 - A pde-Based Analysis of the Spectrogram Image for Instantaneous Frequency Estimation
Bruni, Vittoria; Tartaglione, Michela; Vitulano, Domenico - 01a Articolo in rivista
paper: MATHEMATICS (Basel: MDPI AG, 2013-) pp. 247- - issn: 2227-7390 - wos: WOS:000615394800001 (5) - scopus: 2-s2.0-85100490056 (8)

11573/1336827 - 2020 - An iterative approach for spectrogram reassignment of frequency modulated multicomponent signals
Bruni, Vittoria; Tartaglione, Michela; Vitulano, Domenico - 01a Articolo in rivista
paper: MATHEMATICS AND COMPUTERS IN SIMULATION (Elsevier BV:PO Box 211, 1000 AE Amsterdam Netherlands:011 31 20 4853757, 011 31 20 4853642, 011 31 20 4853641, EMAIL: nlinfo-f@elsevier.nl, INTERNET: http://www.elsevier.nl, Fax: 011 31 20 4853598) pp. 96-119 - issn: 0378-4754 - wos: WOS:000534533200007 (11) - scopus: 2-s2.0-85076514973 (15)

11573/1381396 - 2020 - Radon spectrogram-based approach for automatic IFs separation
Bruni, Vittoria; Tartaglione, Michela; Vitulano, Domenico - 01a Articolo in rivista
paper: EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING (Cairo: Hindawi Publishing Corporation) pp. - - issn: 1687-6180 - wos: WOS:000521745900001 (15) - scopus: 2-s2.0-85082565468 (17)

11573/1469618 - 2020 - A signal complexity-based approach for AM–FM signal modes counting
Bruni, Vittoria; Tartaglione, Michela; Vitulano, Domenico - 01a Articolo in rivista
paper: MATHEMATICS (Basel: MDPI AG, 2013-) pp. - - issn: 2227-7390 - wos: WOS:000602179800001 (10) - scopus: 2-s2.0-85097534708 (11)

11573/1336817 - 2019 - Instantaneous frequency modes separation via a spectrogram-radon based approach
Bruni, V.; Tartaglione, M.; Vitulano, D. - 04b Atto di convegno in volume
conference: 11th International Symposium on Image and Signal Processing and Analysis, ISPA 2019 (Centre for Advanced Academic Studies, hrv)
book: International Symposium on Image and Signal Processing and Analysis, ISPA - (978-1-7281-3140-5)

11573/1275512 - 2019 - A fast and robust spectrogram reassignment method
Bruni, Vittoria; Tartaglione, Michela; Vitulano, Domenico - 01a Articolo in rivista
paper: MATHEMATICS (Basel: MDPI AG, 2013-) pp. - - issn: 2227-7390 - wos: WOS:000467495500051 (13) - scopus: 2-s2.0-85066440756 (13)

11573/1208782 - 2018 - On the time-frequency reassignment of interfering modes in multicomponent FM signals
Bruni, Vittoria; Tartaglione, Michela; Vitulano, Domenico - 04b Atto di convegno in volume
conference: 2018 26th European Signal Processing Conference (EUSIPCO) (Rome, Italy)
book: 2018 26th European Signal Processing Conference (EUSIPCO) - (978-9-0827-9701-5)

© Università degli Studi di Roma "La Sapienza" - Piazzale Aldo Moro 5, 00185 Roma