Department of Signal Processing and Acoustics

Serlab

Major applications of our research are navigation, radar, joint radar-communication, smart phones, large-scale data analysis and data mining, information fusion, image processing, and statistical/machine learning.

Welcome

Serlab is the signal and information processing research lab at the Department of Signal Processing and Acoustics at Aalto University. It is part of a larger unit – Signal Processing Laboratory. 

Our research is organised around these topics:

  • Multiantenna/multisensory systems. In this topic, Serlab is closely linked to the labs leaded by professors Visa Koivunen, Esa Ollila, and Risto Wichman.
  • Optimisation algorithms and applications in signal processing.
  • Data science. In this topic, Serlab is closely linked to the labs leaded by profs. Visa Koivunen and Esa Ollila.
  • Radar signal processing. In this topic, Serlab is closely linked to the lab leaded by prof. Visa Koivunen.
  • Wireless signal processing. In this topic, Serlab is closely linked to the labs leaded by profs. Visa Koivunen and Risto Wichman.

The major applications are navigation, radar (automotive radar), joint radar-communication, smart phones, large-scale data analysis and data mining, information fusion, image processing, and statistical/machine learning as well as other applications.

Dear Colleagues

Thanks for visiting! This website provides easy access to our group’s research. Please visit our research page: Dr. Sergiy Vorobyov (aalto.fi) for more details. If you are looking for a specific paper please refer to the list of publications: PUBLICATIONS (aalto.fi) or the Google scholar profile: ‪Sergiy A. Vorobyov - ‪Google Scholar.

Dear Students

Thanks for visiting! If you are currently enrolled in one of the courses taught by Sergiy A. Vorobyov, please use Aalto systems to access the corresponding Mycourse’s website.

If you are thinking of applying for a position in the group we are honored by your consideration. Please look at the list of publications: PUBLICATIONS (aalto.fi) to gain a better idea of what we do and how we do it. If you are still interested after reading, please send email to Sergiy A. Vorobyov: [email protected].

Contact infromation

Latest publications

Introduction to the special issue on tensor decomposition for signal processing and machine learning

Hongyang Chen, Sergiy A. Vorobyov, Hing Cheung So, Fauzia Ahmad, Fatih Porikli 2021 IEEE Journal on Selected Topics in Signal Processing

Special issue on tensor decomposition for signal processing and machine learning

Hongyang Chen, Sergiy A. Vorobyov, Hing Cheung So, Fauzia Ahmad, Fatih Porikli 2021 IEEE Journal on Selected Topics in Signal Processing

Tensor decompositions in wireless communications and mimo radar

Hongyang Chen, Fauzia Ahmad, Sergiy Vorobyov, Fatih Porikli 2021 IEEE Journal on Selected Topics in Signal Processing

Efficient joint transmit waveform and receive filter design based on a general Lp-norm metric for sidelobe level of pulse compression

Yang Jing, Junli Liang, Sergiy A. Vorobyov, Xuhui Fan, Deyun Zhou 2021 Signal Processing

Graph Signal Processing Meets Blind Source Separation

Jari Miettinen, Eyal Nitzan, Sergiy A. Vorobyov, Esa Ollila 2021 IEEE Transactions on Signal Processing

Liquid Water and Interfacial, Cubic, and Hexagonal Ice Classification through Eclipsed and Staggered Conformation Template Matching

Golnaz Roudsari, Farshad G. Veshki, Bernhard Reischl, Olli H. Pakarinen 2021 Journal of Physical Chemistry B

Effective Energy Efficiency of Ultra-reliable Low Latency Communication

Mohammad Shehab, Hirley Alves, Eduard A. Jorswieck, Endrit Dosti, Matti Latva-aho 2021 IEEE Internet of Things Journal

Power Allocation for ARQ Two-Hop Cooperative Networks for Ultra-Reliable Communication

Endrit Dosti, Themistoklis Charalambous, Risto Wichman 2020 Proceedings of the 2020 IEEE International Conference on Communications, ICC 2020

Ultra Reliable Communication via Optimum Power Allocation for HARQ Retransmission Schemes

Endrit Dosti, Mohammad Shehab, Hirley Alves, Matti Latva-Aho 2020 IEEE Access

New estimation methods for autoregressive process in the presence of white observation noise

Majdoddin Esfandiari, Sergiy A. Vorobyov, Mahmood Karimi 2020 Signal Processing
More information on our research in the Research database.
Research database
  • Published:
  • Updated:
Share
URL copied!