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Subject
News
July 24, 2026
‘I Like Self-Fulfilling Prophecies
Andrey Vorchik studies happiness, delivers popular science lectures, and believes that science should address social issues as well. In an interview for the Young Scientists of HSE University project, he spoke about how emotions influence decision-making, the Bermuda Triangle formed by the bathroom, refrigerator, and bed, and the ideal formula for education.
July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.

 

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Intelligent Systems Reference Library

Vol. 184: Advances in Signal Processing: Theories, Algorithms, and System Control. Springer, 2020.
Academic editor: M. Favorskaya, L. Jain

The book presents a very small sample of research work undertaken by the
researchers of Russian Federation in the field of signal processing theories, algorithms
and system control. The book is directed to the PhD students, professors, researchers and software
developers working in the areas of digital video processing and computer vision
technologies. We wish to express our gratitude to the authors and reviewers for their contribution.
The assistance provided by Springer-Verlag is acknowledged.

Chapters
The Development of the Algorithm for Estimating the Spectral Correlation Function Based on Two-Dimensional Fast Fourier Transform
Shevgunov T., Efimov E., Kirdyashkin V. et al., , in: Intelligent Systems Reference LibraryVol. 184: Advances in Signal Processing: Theories, Algorithms, and System Control.: Springer, 2020. P. 75–86.
This chapter presents the algorithm for estimating spectral correlation function of a random process that is a valid bi-frequency description of the probabilistic properties of any wide-sense cyclostationary process and relates to its cyclic autocorrelation function via Fourier transform. The key point of the algorithm is that it is based on the two-dimensional discrete Fourier transform of the sample ...
Added: August 25, 2020
Research target: Electronics and Electrical Engineering Mathematics Computer Science
Priority areas: IT and mathematics business informatics mathematics engineering science
Language: English
DOI
Text on another site
Keywords: цифровая обработка сигналовcomputer visiondigital signal processingintelligent control systemssystem control signal processing
Intelligent Systems Reference Library
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