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Publications (10 of 391) Show all publications
Ren, J., Zhang, T., Li, J. & Stoica, P. (2019). Sinusoidal parameter estimation from signed measurements via majorization–minimization based RELAX. IEEE Transactions on Signal Processing, 67(8), 2173-2186
Open this publication in new window or tab >>Sinusoidal parameter estimation from signed measurements via majorization–minimization based RELAX
2019 (English)In: IEEE Transactions on Signal Processing, ISSN 1053-587X, E-ISSN 1941-0476, Vol. 67, no 8, p. 2173-2186Article in journal (Refereed) Published
National Category
Signal Processing
Identifiers
urn:nbn:se:uu:diva-381107 (URN)10.1109/TSP.2019.2899804 (DOI)000461872500006 ()
Available from: 2019-02-15 Created: 2019-04-04 Last updated: 2019-04-06Bibliographically approved
Li, C., Zhang, R., Li, J. & Stoica, P. (2018). Bayesian information criterion for signed measurements with application to sinusoidal signals. IEEE Signal Processing Letters, 25(8), 1251-1255
Open this publication in new window or tab >>Bayesian information criterion for signed measurements with application to sinusoidal signals
2018 (English)In: IEEE Signal Processing Letters, ISSN 1070-9908, E-ISSN 1558-2361, Vol. 25, no 8, p. 1251-1255Article in journal (Refereed) Published
National Category
Signal Processing
Identifiers
urn:nbn:se:uu:diva-361505 (URN)10.1109/LSP.2018.2847559 (DOI)000438743000004 ()
Available from: 2018-06-14 Created: 2018-09-25 Last updated: 2018-10-01Bibliographically approved
Das, A., Zachariah, D. & Stoica, P. (2018). Comparison of two hyperparameter-free sparse signal processing methods for direction-of-arrival tracking in the HF97 ocean acoustic experiment. IEEE Journal of Oceanic Engineering, 43(3), 725-734
Open this publication in new window or tab >>Comparison of two hyperparameter-free sparse signal processing methods for direction-of-arrival tracking in the HF97 ocean acoustic experiment
2018 (English)In: IEEE Journal of Oceanic Engineering, ISSN 0364-9059, E-ISSN 1558-1691, Vol. 43, no 3, p. 725-734Article in journal (Refereed) Published
National Category
Signal Processing
Identifiers
urn:nbn:se:uu:diva-335107 (URN)10.1109/JOE.2017.2706100 (DOI)000438742000013 ()
Available from: 2017-06-06 Created: 2017-11-30 Last updated: 2018-11-24Bibliographically approved
Mattsson, P., Zachariah, D. & Stoica, P. (2018). Identification of cascade water tanks using a PWARX model. Mechanical systems and signal processing, 106, 40-48
Open this publication in new window or tab >>Identification of cascade water tanks using a PWARX model
2018 (English)In: Mechanical systems and signal processing, ISSN 0888-3270, E-ISSN 1096-1216, Vol. 106, p. 40-48Article in journal (Refereed) Published
National Category
Signal Processing
Identifiers
urn:nbn:se:uu:diva-350267 (URN)10.1016/j.ymssp.2017.12.027 (DOI)000426229100004 ()
Available from: 2018-01-05 Created: 2018-05-14 Last updated: 2018-11-24Bibliographically approved
Li, C., Zhang, R., Li, J. & Stoica, P. (2018). Model order determination for signed measurements via the Bayesian information criterion. In: 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM): . Paper presented at 10th IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), July 8–11, Sheffield, UK (pp. 366-370). Piscataway, NJ: IEEE
Open this publication in new window or tab >>Model order determination for signed measurements via the Bayesian information criterion
2018 (English)In: 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM), Piscataway, NJ: IEEE, 2018, p. 366-370Conference paper, Published paper (Refereed)
Abstract [en]

The problem of model order selection from signed measurements obtained via 1-bit sampling is considered. The extension of the Bayesian information criterion (BIC) to the case of 1-bit sampling, referred to as 1bBIC, is proposed to determine the signal model order. Numerical examples are presented to demonstrate the performance of 1bBIC when the One-Bit RELAX algorithm is used to estimate the parameters of sinusoidal signals.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE, 2018
Series
Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop, E-ISSN 2151-870X
National Category
Signal Processing
Identifiers
urn:nbn:se:uu:diva-366773 (URN)10.1109/SAM.2018.8448871 (DOI)000450082400075 ()978-1-5386-4752-3 (ISBN)
Conference
10th IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), July 8–11, Sheffield, UK
Funder
Swedish Research Council
Available from: 2018-08-30 Created: 2018-11-24 Last updated: 2019-02-01Bibliographically approved
Zachariah, D. & Stoica, P. (2018). Model-robust counterfactual prediction method. In: ICML Workshop on Machine Learning for Causal Inference, Counterfactual Prediction, and Autonomous Action: . Paper presented at CausalML 2018, July 15, Stockholm, Sweden.
Open this publication in new window or tab >>Model-robust counterfactual prediction method
2018 (English)In: ICML Workshop on Machine Learning for Causal Inference, Counterfactual Prediction, and Autonomous Action, 2018Conference paper, Poster (with or without abstract) (Refereed)
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:uu:diva-366774 (URN)
Conference
CausalML 2018, July 15, Stockholm, Sweden
Available from: 2018-07-15 Created: 2018-11-24 Last updated: 2018-11-24Bibliographically approved
Liang, J., Stoica, P., Jing, Y. & Li, J. (2018). Phase retrieval via the alternating direction method of multipliers. IEEE Signal Processing Letters, 25(1), 5-9
Open this publication in new window or tab >>Phase retrieval via the alternating direction method of multipliers
2018 (English)In: IEEE Signal Processing Letters, ISSN 1070-9908, E-ISSN 1558-2361, Vol. 25, no 1, p. 5-9Article in journal (Refereed) Published
National Category
Signal Processing
Identifiers
urn:nbn:se:uu:diva-342196 (URN)10.1109/LSP.2017.2767826 (DOI)000415190400001 ()
Available from: 2017-10-30 Created: 2018-02-20 Last updated: 2018-10-01Bibliographically approved
Mattsson, P., Zachariah, D. & Stoica, P. (2018). Recursive nonlinear-system identification using latent variables. Automatica, 93, 343-351
Open this publication in new window or tab >>Recursive nonlinear-system identification using latent variables
2018 (English)In: Automatica, ISSN 0005-1098, E-ISSN 1873-2836, Vol. 93, p. 343-351Article in journal (Refereed) Published
National Category
Control Engineering
Identifiers
urn:nbn:se:uu:diva-360432 (URN)10.1016/j.automatica.2018.03.007 (DOI)000436916200036 ()
Available from: 2018-04-01 Created: 2018-09-17 Last updated: 2018-11-24Bibliographically approved
Ren, J., Zhang, T., Li, J. & Stoica, P. (2018). Sinusoidal parameter estimation from signed measurements obtained via time-varying thresholds. In: Proc. 52nd Asilomar Conference on Signals, Systems, and Computers: (pp. 1111-1115). Piscataway, NJ: IEEE
Open this publication in new window or tab >>Sinusoidal parameter estimation from signed measurements obtained via time-varying thresholds
2018 (English)In: Proc. 52nd Asilomar Conference on Signals, Systems, and Computers, Piscataway, NJ: IEEE, 2018, p. 1111-1115Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Piscataway, NJ: IEEE, 2018
National Category
Signal Processing
Identifiers
urn:nbn:se:uu:diva-366775 (URN)10.1109/ACSSC.2018.8645123 (DOI)978-1-5386-9218-9 (ISBN)
Available from: 2019-02-21 Created: 2018-11-24 Last updated: 2019-04-03Bibliographically approved
Hu, H., Soltanalian, M., Stoica, P. & Zhu, X. (2017). Locating the Few: Sparsity-aware waveform design for active radar. IEEE Transactions on Signal Processing, 65(3), 651-662
Open this publication in new window or tab >>Locating the Few: Sparsity-aware waveform design for active radar
2017 (English)In: IEEE Transactions on Signal Processing, ISSN 1053-587X, E-ISSN 1941-0476, Vol. 65, no 3, p. 651-662Article in journal (Refereed) Published
National Category
Signal Processing
Identifiers
urn:nbn:se:uu:diva-315055 (URN)10.1109/TSP.2016.2620966 (DOI)000391293800009 ()
Funder
EU, European Research CouncilSwedish Research Council
Available from: 2016-10-25 Created: 2017-03-08 Last updated: 2018-10-01Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-7957-3711

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