Signal Processing, 0165-1684

Journal

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  1. 2021
  2. 2020
  3. Multi-marginal optimal transport using partial information with applications in robust localization and sensor fusion

    Filip Elvander, Isabel Haasler, Andreas Jakobsson & Johan Karlsson, 2020, In : Signal Processing. 171, 107474.

    Research output: Contribution to journalArticle

  4. 2018
  5. Estimation of chirp signals with time-varying amplitudes

    Xiangxia Meng, Andreas Jakobsson, Xiukun Li & Yahui Lei, 2018 Jun 1, In : Signal Processing. 147, p. 1-10 10 p.

    Research output: Contribution to journalArticle

  6. Generalized sparse covariance-based estimation

    Johan Swärd, Stefan I. Adalbjörnsson & Andreas Jakobsson, 2018 Feb 1, In : Signal Processing. 143, p. 311-319 9 p.

    Research output: Contribution to journalArticle

  7. Designing sampling schemes for multi-dimensional data

    Johan Swärd, Filip Elvander & Andreas Jakobsson, 2018, In : Signal Processing. 150, p. 1-10 10 p.

    Research output: Contribution to journalArticle

  8. Hyperparameter Selection for Group-Sparse Regression: A Probabilistic Approach

    Ted Kronvall & Andreas Jakobsson, 2018, In : Signal Processing. 151, p. 107-118

    Research output: Contribution to journalArticle

  9. Multi-dimensional grid-less estimation of saturated signals

    Filip Elvander, Johan Swärd & Andreas Jakobsson, 2018, In : Signal Processing. 145, p. 37-47 11 p.

    Research output: Contribution to journalArticle

  10. 2017
  11. Sparse Modeling of Chroma Features

    Ted Kronvall, Maria Juhlin, Johan Swärd, Stefan I. Adalbjörnsson & Andreas Jakobsson, 2017 Jan 1, In : Signal Processing. 130, p. 105-117 13 p.

    Research output: Contribution to journalArticle

  12. Group-Sparse Regression Using the Covariance Fitting Criterion

    Ted Kronvall, Stefan Ingi Adalbjörnsson, Santhosh Nadig & Andreas Jakobsson, 2017, In : Signal Processing. 139, p. 116-130 15 p.

    Research output: Contribution to journalArticle

  13. 2016
  14. High resolution sparse estimation of exponentially decaying N-dimensional signals

    Johan Swärd, Stefan I. Adalbjörnsson & Andreas Jakobsson, 2016 Nov 1, In : Signal Processing. 128, p. 309-317 9 p.

    Research output: Contribution to journalArticle

  15. Time-frequency image enhancement based on interference suppression in Wigner-Ville distribution

    Nabeel Ali Khan & Maria Sandsten, 2016 Oct 1, In : Signal Processing. 127, p. 80-85 6 p.

    Research output: Contribution to journalArticle

  16. An Adaptive Penalty Multi-Pitch Estimator with Self-Regularization

    Filip Elvander, Ted Kronvall, Stefan Ingi Adalbjörnsson & Andreas Jakobsson, 2016, In : Signal Processing. 127, p. 56-70

    Research output: Contribution to journalArticle

  17. 2015
  18. Adaptive polarimetric detection method for target in partially homogeneous background

    Shiwen Lei, Zhiqin Zhao, Zaiping Nie & Qing-Huo Liu, 2015, In : Signal Processing. 106, p. 301-311

    Research output: Contribution to journalArticle

  19. Multi-Pitch Estimation Exploiting Block Sparsity

    Stefan Ingi Adalbjörnsson, Andreas Jakobsson & Mads Christensen, 2015, In : Signal Processing. 109, April, p. 236-247

    Research output: Contribution to journalArticle

  20. TOA sensor network self-calibration for receiver and transmitter spaces with difference in dimension

    Simon Burgess, Yubin Kuang & Karl Åström, 2015, In : Signal Processing. 107, Online 11 June 2014, p. 33-42

    Research output: Contribution to journalArticle

  21. Weighted least squares algorithm for target localization in distributed MIMO radar

    Martin Einemo & Hing Cheung So, 2015, In : Signal Processing. 115, p. 144-150

    Research output: Contribution to journalArticle

  22. 2014
  23. SAR Imaging via Efficient Implementations of Sparse ML Approaches

    George-Othan Glentis, Kexin Zhao, Andreas Jakobsson, Habti Abeida & Jian Li, 2014, In : Signal Processing. 95, February, p. 15-26

    Research output: Contribution to journalArticle

  24. 2013
  25. Computationally Efficient Sparsity-Inducing Coherence Spectrum Estimation of Complete and Non-Complete Data Sets

    Kostas Angelopoulos, George-Othan Glentis & Andreas Jakobsson, 2013, In : Signal Processing. 93, 5, p. 1221-1234

    Research output: Contribution to journalArticle

  26. 2012
  27. Optimal Cepstrum Smoothing

    Johan Sandberg & Maria Sandsten, 2012, In : Signal Processing. 92, 5, p. 1290-1301

    Research output: Contribution to journalArticle

  28. 2011
  29. Source Localization for Multiple Speech Sources Using Low Complexity Non-Parametric Source Separation and Clustering

    Mikael Swartling, Benny Sällberg & Nedelko Grbic, 2011 Aug, In : Signal Processing. 91, 8, p. 1781–1788 8 p.

    Research output: Contribution to journalArticle

  30. Calibration Errors of Uniform Linear Sensor Arrays for DOA Estimation: an Analysis with SRP-PHAT

    Mikael Swartling & Nedelko Grbic, 2011 Apr, In : Signal Processing. 91, 4, p. 1071–1075 6 p., 4.

    Research output: Contribution to journalArticle

  31. Blood Velocity Estimation Using Ultrasound and Spectral Iterative Adaptive Approaches

    Erik Gudmundson, Andreas Jakobsson, Jörgen Jensen & Peter Stoica, 2011, In : Signal Processing. 91, 5, p. 1275-1283

    Research output: Contribution to journalArticle

  32. Linear MMSE estimation of time-frequency variant channels for MIMO-OFDM systems

    Pierluigi Salvo Rossi, Ralf R. Müller & Ove Edfors, 2011, In : Signal Processing. 91, 5, p. 1157-1167

    Research output: Contribution to journalArticle

  33. 2010
  34. Optimal stochastic discrete time–frequency analysis in the ambiguity and time-lag domain

    Johan Sandberg & Maria Sandsten, 2010, In : Signal Processing. 90, 7, p. 2203-2211

    Research output: Contribution to journalArticle

  35. 2008
  36. Analysis of nuclear quadrupole resonance signals from mixtures

    Samuel D. Somasundaram, Andreas Jakobsson & John A. S. Smith, 2008, In : Signal Processing. 88, 1, p. 146-157

    Research output: Contribution to journalArticle

  37. Frequency-Selective Robust Detection and Estimation of Multiple-Polymorph QR Signals

    Naveed Butt, Samuel D. Somasundaram, Andreas Jakobsson & John A. S. Smith, 2008, In : Signal Processing. 88, 4, p. 834-843

    Research output: Contribution to journalArticle

  38. Multi-Pitch Estimation

    Mads G. Christensen, Petre Stoica, Andreas Jakobsson & Sören Holdt Jensen, 2008, In : Signal Processing. 88, 4, p. 972-983

    Research output: Contribution to journalArticle

  39. 2006
  40. A hybrid method for the design of oversampled uniform DFT filter banks

    K.F.C Yui, Nedelko Grbic, Sven Nordholm & K.L. Teo, 2006, In : Signal Processing. 86, 7, p. 1355-1364 10 p., 7.

    Research output: Contribution to journalArticle

  41. On the Forward-Backward Spatial APES

    Andreas Jakobsson & Petre Stoica, 2006, In : Signal Processing. 86, 4, p. 710-715

    Research output: Contribution to journalArticle

  42. 2004
  43. On Behavioral Model Identification

    Rolf Johansson & Anders Robertsson, 2004, In : Signal Processing. 84, 7, p. 1089-1100

    Research output: Contribution to journalArticle

  44. 2003
  45. Methods for alignment of multi-class signal sets

    Patrik Wahlberg & G Salomonsson, 2003, In : Signal Processing. 83, 5, p. 983-1000

    Research output: Contribution to journalArticle

  46. 2000
  47. Three non-pilot based time- and frequency estimators for OFDM

    J.-J. Van De Beek, Per Ola Börjesson, M.-L. Boucheret, Daniel Landström, J.M. Arenas, Per Ödling & S.K. Wilson, 2000, In : Signal Processing. 80, 7, p. 1321-1334

    Research output: Contribution to journalArticle