Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Riitta Kerminen"'
Publikováno v:
IET Intelligent Transport Systems. 9:566-572
The use of stored public transportation data facilitates the identification of potential issues with urban traffic flow. Focusing on buses, the authors proceed from a city-level delay distribution analysis to a detailed understanding of the factors t
Publikováno v:
IEEE Signal Processing Letters. 14:413-416
Extraction of patterns is an important low-level operation in several vision applications. In particular, this work is motivated by the problem of detecting unknown vague structures in images with a minimum sample number. Tracing of an unknown struct
Publikováno v:
EIMM@MM
As the number of user-generated videos rises in the Internet, there is a growing need for more efficient search tools that enable the users to find the desired content. Moreover, the associated video metadata for the content is often incomplete or ev
Publikováno v:
Human-Computer Interaction
Tampere University
Tampere University
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::867e5c20c9f5cc0b03693d51de2b9ab8
https://doi.org/10.5772/7743
https://doi.org/10.5772/7743
Publikováno v:
MOBIWAC
Wireless sensor networks offer a new and inexpensive way to gather data. Unfortunately, the short communication range together with distortions cause corruption in data transmission. In this paper a novel approach is proposed to deal with missing dat
Publikováno v:
Tampere University
Digital signal processing allows improvements in site-specific clutter prediction. With digital terrain maps and a flight obstacle register, land clutter origin can be solved. An efficient, knowledge-aided approach to extracting homogeneous clutter f
Publikováno v:
Tampere University
ICASSP (3)
ICASSP (3)
Industrial quality monitoring is increasing rapidly, and challenging signal environments with requirement of steady performance pose conflicting demands to on-line tests. The sequential probability ratio test (SPRT) and the Kalman filter (KF) are pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa787fa5384f0cd06c40da1c700a0e54
https://researchportal.tuni.fi/en/publications/0b09d0f4-70e1-44db-b7c2-a08d9eb18e08
https://researchportal.tuni.fi/en/publications/0b09d0f4-70e1-44db-b7c2-a08d9eb18e08
Publikováno v:
Tampere University
This paper presents a method for generating volumetric clutter for air surveillance radar simulation. Complex valued radar signal consists of magnitude and phase. In the presented simulation, radar clutter signal is created from magnitude and phase d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d94145cf3d8bb74ec0f317200d0d6dd
https://researchportal.tuni.fi/en/publications/62400601-1292-49bb-98ce-7e9fa80c6863
https://researchportal.tuni.fi/en/publications/62400601-1292-49bb-98ce-7e9fa80c6863