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  • 1. Li, Jian
    et al.
    Stoica, Peter
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    MIMO radar with colocated antennas: Review of some recent work2007In: IEEE signal processing magazine (Print), ISSN 1053-5888, E-ISSN 1558-0792, Vol. 24, no 5, p. 106-114Article in journal (Refereed)
  • 2. Li, Jian
    et al.
    Stoica, Peter
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    The phased array is the maximum SNR active array2010In: IEEE signal processing magazine (Print), ISSN 1053-5888, E-ISSN 1558-0792, Vol. 27, no 2, p. 143-144Article in journal (Refereed)
  • 3. Roberts, William
    et al.
    He, Hao
    Li, Jian
    Stoica, Peter
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Probing Waveform Synthesis and Receiver Filter Design2010In: IEEE signal processing magazine (Print), ISSN 1053-5888, E-ISSN 1558-0792, Vol. 27, no 4, p. 99-112Article in journal (Refereed)
  • 4. Rowe, William
    et al.
    Stoica, Peter
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Li, Jian
    Spectrally constrained waveform design2014In: IEEE signal processing magazine (Print), ISSN 1053-5888, E-ISSN 1558-0792, Vol. 31, no 3, p. 157-162Article in journal (Refereed)
  • 5.
    Savazzi, Stefano
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Signals and Systems Group. CNR, Inst Elect Comp & Telecommun Engn, I-00185 Rome, Italy.;Univ Calif San Diego, La Jolla, CA 92093 USA.;Forschungszentrum Telekommunikat Wien, Vienna, Austria..
    Sigg, Stephan
    Aalto Univ, Dept Commun & Networking, Aalto, Finland.;Univ Gottingen, Comp Networks Grp, Gottingen, Germany.;TU Braunschweig, Braunschweig, Germany.;Swiss Fed Inst Technol, Wearable Comp Lab, Zurich, Switzerland.;Univ Helsinki, Nodes Lab, FIN-00014 Helsinki, Finland.;Natl Inst Informat, Informat Syst Architecture Res Div, Tokyo, Japan..
    Nicoli, Monica
    Politecn Milan, Dipartimento Elettron Informaz & Bioingn, Milan, Italy..
    Rampa, Vittorio
    CNR, Inst Elect Comp & Telecommun Engn, I-00185 Rome, Italy.;Politecn Milan, Milan, Italy..
    Kianoush, Sanaz
    CNR, Inst Elect Comp & Telecommun Engn, I-00185 Rome, Italy..
    Spagnolini, Umberto
    Politecn Milan, Milan, Italy..
    Device-Free Radio Vision for Assisted Living Leveraging wireless channel quality information for human sensing2016In: IEEE signal processing magazine (Print), ISSN 1053-5888, E-ISSN 1558-0792, Vol. 33, no 2, p. 45-58Article in journal (Refereed)
    Abstract [en]

    Wireless propagation is conventionally considered as the enabling tool for transporting information in digital communications. However, recent research has shown that the perturbations of the same electromagnetic (EM) fields that are adopted for data transmission can be used as a powerful sensing tool for device-free radio vision. Applications range from human body motion detection and localization to passive gesture recognition. In line with the current evolution of mobile phone sensing [1], radio terminals are not only ubiquitous communication interfaces, but they also incorporate novel or augmented sensing potential, capable of acquiring an accurate human-scale understanding of space and motion. This article shows how radio-frequency (RF) signals can be employed to provide a device-free environmental vision and investigates the detection and tracking capabilities for potential benefits in daily life.

  • 6.
    Stoica, Peter
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Babu, Prabhu
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    The Gaussian data assumption leads to the largest Cramér-Rao bound2011In: IEEE signal processing magazine (Print), ISSN 1053-5888, E-ISSN 1558-0792, Vol. 28, no 3, p. 132-133Article in journal (Refereed)
  • 7.
    Stoica, Peter
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Li, Jian
    Xue, Ming
    Transmit codes and receive filters for radar: A look at the design process2008In: IEEE signal processing magazine (Print), ISSN 1053-5888, E-ISSN 1558-0792, Vol. 25, no 6, p. 94-109Article in journal (Refereed)
  • 8.
    Stoica, Peter
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Sandgren, Niclas
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Smoothed nonparametric spectral estimation via cepsturm thresholding2006In: IEEE signal processing magazine (Print), ISSN 1053-5888, E-ISSN 1558-0792, Vol. 23, no 6, p. 34-45Article in journal (Refereed)
  • 9.
    Umbert, Marti
    et al.
    Univ Politecn Cataluna, Telecommun, E-08028 Barcelona, Spain..
    Bonada, Jordi
    UPF, Comp Sci & Digital Commun, Barcelona, Spain..
    Goto, Masataka
    Waseda Univ, Tokyo, Japan..
    Nakano, Tomoyasu
    Univ Tsukuba, Tsukuba, Ibaraki 305, Japan..
    Sundberg, Johan
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Arts, Department of Musicology.
    Expression Control in Singing Voice Synthesis: Features, approaches, evaluation, and challenge2015In: IEEE signal processing magazine (Print), ISSN 1053-5888, E-ISSN 1558-0792, Vol. 32, no 6, p. 55-73Article in journal (Refereed)
    Abstract [en]

    In the context of singing voice synthesis, expression control manipulates a set of voice features related to a particular emotion, style, or singer. Also known as performance modeling, it has been approached from different perspectives and for different purposes, and different projects have shown a wide extent of applicability. The aim of this article is to provide an overview of approaches to expression control in singing voice synthesis. We introduce some musical applications that use singing voice synthesis techniques to justify the need for an accurate control of expression. Then, expression is defined and related to speech and instrument performance modeling. Next, we present the commonly studied set of voice parameters that can change perceptual aspects of synthesized voices. After that, we provide an up-to-date classification, comparison, and description of a selection of approaches to expression control. Then, we describe how these approaches are currently evaluated and discuss the benefits of building a common evaluation framework and adopting perceptually-motivated objective measures. Finally, we discuss the challenges that we currently foresee.

  • 10.
    Zachariah, Dave
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Stoica, Peter
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
    Cramér–Rao bound analog of Bayes' rule2015In: IEEE signal processing magazine (Print), ISSN 1053-5888, E-ISSN 1558-0792, Vol. 32, no 2, p. 164-168Article in journal (Refereed)
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