Exploring a large dataset : typical behavior of UHF signal propagation
Tekijät
Päivämäärä
2020Radioverkon suunnittelua ja käyttöä varten täytyy radio aaltojen
eteneminen ymmärtää hyvin. Tässä tutkimuksessa tutustutaan laajaan mittausaineistoon
hetkellisiä tehoja maanlaajuisesta UHF verkosta. Spektrianalyysillä todettiin mitatussa
tehossa olevan jaksollista vaihtelua taajuuksilla kerran ja kahdesti päivässä. Myös nopeampaa
vaihtelua välillä 0:1 mHz ja 1:4 mHz todettiin 34% yhteyksistä. Hierarkisella ryhmittelyllä
etsittiin tyypilliset mittausten arvojakaumat. Saaduissa arvojakaumien ryhmissä oli eri
levyisiä vasemmalle tai oikealle vinoja tai symmetrisiä jakaumia. The design and operation of radio networks requires good understanding of radio
propagation. This study explores a dataset containing measured instantaneous power values
from a statewide UHF network. Using spectral analysis the measured power was found to
have periodic variations of once and twice per day. Faster variation between 0:1 mHz and
1:4 mHz was also detected in 34% of the connections. Hierarchical clustering was used to
determine typical value distributions of the measurements. Clusters of symmetric, positively
skewed or negatively skewed value distributions and several widths were found.
Asiasanat
Metadata
Näytä kaikki kuvailutiedotKokoelmat
- Pro gradu -tutkielmat [29740]
Lisenssi
Samankaltainen aineisto
Näytetään aineistoja, joilla on samankaltainen nimeke tai asiasanat.
-
GIS-data related route optimization, hierarchical clustering, location optimization, and kernel density methods are useful for promoting distributed bioenergy plant planning in rural areas
Laasasenaho, K.; Lensu, Anssi; Lauhanen, R.; Rintala, J. (Elsevier BV, 2019)Currently, geographic information system (GIS) models are popular for studying location-allocation-related questions concerning bioenergy plants. The aim of this study was to develop a model to investigate optimal locations ... -
Reconfiguration of cognitive control networks during a long-duration flanker task
Liu, Jia; Zhu, Yongjie; Chang, Zheng; Parviainen, Tiina; Antfolk, Christian; Hämäläinen, Timo; Cong, Fengyu (Institute of Electrical and Electronics Engineers (IEEE), 2024)Continuous task engagement generally leads to vigilance decrement and deteriorates task performance. However, how conflict effect is modulated by vigilance decrement has no consistent evidence, and little is known about ... -
Exploring Frequency-Dependent Brain Networks from Ongoing EEG Using Spatial ICA During Music Listening
Zhu, Yongjie; Zhang, Chi; Poikonen, Hanna; Toiviainen, Petri; Huotilainen, Minna; Mathiak, Klaus; Ristaniemi, Tapani; Cong, Fengyu (Springer, 2020)Recently, exploring brain activity based on functional networks during naturalistic stimuli especially music and video represents an attractive challenge because of the low signal-to-noise ratio in collected brain data. ... -
Exploring Oscillatory Dysconnectivity Networks in Major Depression during Resting State Using Coupled Tensor Decomposition
Liu, Wenya; Wang, Xiulin; Hämäläinen, Timo; Cong, Fengyu (Institute of Electrical and Electronics Engineers (IEEE), 2022)Dysconnectivity of large-scale brain networks has been linked to major depression disorder (MDD) during resting state. Recent researches show that the temporal evolution of brain networks regulated by oscillations reveals ... -
Spectral element method and controllability approach for time-harmonic wave propagation
Mönkölä, Sanna (University of Jyväskylä, 2008)
Ellei toisin mainittu, julkisesti saatavilla olevia JYX-metatietoja (poislukien tiivistelmät) saa vapaasti uudelleenkäyttää CC0-lisenssillä.