1. 2020
  2. Experimental validation of a data-driven step input estimation method for dynamic measurements

    Quintana-Carapia, G., Markovsky, I., Pintelon, R., Csurcsia, P. Z. & Verbeke, D. T., 1 Jul 2020, In : IEEE Transactions on Instrumentation and measurement. 69, 7, p. 4843-4851 9 p.

    Research output: Contribution to journalArticle

  3. A hybrid penalty method for a class of optimization problems with multiple rank constraints

    Liu, T., Markovsky, I., Kei Pong, T. & Takeda, A., Jun 2020, In : SIAM Journal on Matrix Analysis and Applications. 21 p., 1906.10396.

    Research output: Contribution to journalArticle

  4. Data-Driven Tests for Controllability

    Mishra, V. K., Markovsky, I. & Grossmann, B., Jun 2020, In : IEEE Control Systems Letters. 5, 2, p. 517-522 6 p.

    Research output: Contribution to journalArticle

  5. Line Spectral Estimation with Palindromic Kernels

    Verbeke, D. T. M. & Markovsky, I., 4 May 2020, 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP): ICASSP 2020. IEEE, p. 5965-5968

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  6. Bias and covariance of the least squares estimate in a structured errors-in-variables problem

    Quintana-Carapia, G., Markovsky, I., Pintelon, R., Csurcsia, P. Z. & Verbeke, D. T., Apr 2020, In : Computational Statistics & Data Analysis. 144, 13 p., 106893.

    Research output: Contribution to journalArticle

  7. Input parameters estimation from time-varying measurements

    Quintana-Carapia, G. & Markovsky, I., Mar 2020, In : Measurement. 153, March, 11 p., 107418.

    Research output: Contribution to journalArticle

  8. Data-driven structured noise filtering via common dynamics estimation

    Markovsky, I., Liu, T. & Takeda, A., 2020, In : IEEE Transactions on Signal Processing. 68, 1, p. 3064-3073 10 p.

    Research output: Contribution to journalArticle

  9. 2019
  10. On the behavior of autonomous Wiener systems

    Markovsky, I., 1 Dec 2019, In : Automatica. 110, 5 p., 108601.

    Research output: Contribution to journalArticle

  11. Computing common factors of matrix polynomials with applications in system and control theory

    Fazzi, A., Guglielmi, N. & Markovsky, I., Dec 2019, IEEE Conference on Decision and Control. IEEE, p. 7721-7726 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  12. Software package for mosaic-Hankel structured low-rank approximation

    Usevich, K. & Markovsky, I., Dec 2019, IEEE Conference on Decision and Control: SIAM. IEEE, p. 7165-7170 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference paper

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