38,230 research outputs found
Protection of information networks based on LoRa technology
The paper deals with modern technology for transmitting short messages
over long distances named LoRa, where the transmitted signal uses linear
frequency modulation (chirp). The object of the study to define lack of transmitters
that it has a design on LoRa technology for assessment their applicable in
condition urban city where there are a lot of radiation sources. The goal of the
work is the creation of a method of assessing the act the interference conditions
that based on measurement bit error rate and signal-noise ratio and via on which
to get individual host vulnerability levels. The processing of these signals is carried
out by means of a time-frequency transformation. The chirp signal is characterized
by 4 parameters: frequencies, time, modulation rate and amplitude.
By analogy with the wavelet transform, the processing of chirp signals involves
a chirplet decomposition. Since the chirp signals are strongly influenced by mutual
interference due to multipath, the article studies the effectiveness of LoRa
technology in conditions of mutual interference of radiation sources. The developed
method utilized chirplet decomposition and retrieve symbols of a message
in the dictionary. The conducted experiments have confirmed the proposed
software operability and allow recommending it for use in practice for solving
the problems receiving signal. The prospects for further research may include
the creation of parallel methods for calculation of the set of proposed indicators,
the improvement of software, as well as an experimental study of proposed indicators
in real conditions.The paper deals with modern technology for transmitting short messages
over long distances named LoRa, where the transmitted signal uses linear
frequency modulation (chirp). The object of the study to define lack of transmitters
that it has a design on LoRa technology for assessment their applicable in
condition urban city where there are a lot of radiation sources. The goal of the
work is the creation of a method of assessing the act the interference conditions
that based on measurement bit error rate and signal-noise ratio and via on which
to get individual host vulnerability levels. The processing of these signals is carried
out by means of a time-frequency transformation. The chirp signal is characterized
by 4 parameters: frequencies, time, modulation rate and amplitude.
By analogy with the wavelet transform, the processing of chirp signals involves
a chirplet decomposition. Since the chirp signals are strongly influenced by mutual
interference due to multipath, the article studies the effectiveness of LoRa
technology in conditions of mutual interference of radiation sources. The developed
method utilized chirplet decomposition and retrieve symbols of a message
in the dictionary. The conducted experiments have confirmed the proposed
software operability and allow recommending it for use in practice for solving
the problems receiving signal. The prospects for further research may include
the creation of parallel methods for calculation of the set of proposed indicators,
the improvement of software, as well as an experimental study of proposed indicators
in real conditions.National Aviation Universit
Protection of information networks based on LoRa technology
The paper deals with modern technology for transmitting short messages
over long distances named LoRa, where the transmitted signal uses linear
frequency modulation (chirp). The object of the study to define lack of transmitters
that it has a design on LoRa technology for assessment their applicable in
condition urban city where there are a lot of radiation sources. The goal of the
work is the creation of a method of assessing the act the interference conditions
that based on measurement bit error rate and signal-noise ratio and via on which
to get individual host vulnerability levels. The processing of these signals is carried
out by means of a time-frequency transformation. The chirp signal is characterized
by 4 parameters: frequencies, time, modulation rate and amplitude.
By analogy with the wavelet transform, the processing of chirp signals involves
a chirplet decomposition. Since the chirp signals are strongly influenced by mutual
interference due to multipath, the article studies the effectiveness of LoRa
technology in conditions of mutual interference of radiation sources. The developed
method utilized chirplet decomposition and retrieve symbols of a message
in the dictionary. The conducted experiments have confirmed the proposed
software operability and allow recommending it for use in practice for solving
the problems receiving signal. The prospects for further research may include
the creation of parallel methods for calculation of the set of proposed indicators,
the improvement of software, as well as an experimental study of proposed indicators
in real conditions.The paper deals with modern technology for transmitting short messages
over long distances named LoRa, where the transmitted signal uses linear
frequency modulation (chirp). The object of the study to define lack of transmitters
that it has a design on LoRa technology for assessment their applicable in
condition urban city where there are a lot of radiation sources. The goal of the
work is the creation of a method of assessing the act the interference conditions
that based on measurement bit error rate and signal-noise ratio and via on which
to get individual host vulnerability levels. The processing of these signals is carried
out by means of a time-frequency transformation. The chirp signal is characterized
by 4 parameters: frequencies, time, modulation rate and amplitude.
By analogy with the wavelet transform, the processing of chirp signals involves
a chirplet decomposition. Since the chirp signals are strongly influenced by mutual
interference due to multipath, the article studies the effectiveness of LoRa
technology in conditions of mutual interference of radiation sources. The developed
method utilized chirplet decomposition and retrieve symbols of a message
in the dictionary. The conducted experiments have confirmed the proposed
software operability and allow recommending it for use in practice for solving
the problems receiving signal. The prospects for further research may include
the creation of parallel methods for calculation of the set of proposed indicators,
the improvement of software, as well as an experimental study of proposed indicators
in real conditions.National Aviation Universit
Bayesian wavelet de-noising with the caravan prior
According to both domain expert knowledge and empirical evidence, wavelet
coefficients of real signals tend to exhibit clustering patterns, in that they
contain connected regions of coefficients of similar magnitude (large or
small). A wavelet de-noising approach that takes into account such a feature of
the signal may in practice outperform other, more vanilla methods, both in
terms of the estimation error and visual appearance of the estimates. Motivated
by this observation, we present a Bayesian approach to wavelet de-noising,
where dependencies between neighbouring wavelet coefficients are a priori
modelled via a Markov chain-based prior, that we term the caravan prior.
Posterior computations in our method are performed via the Gibbs sampler. Using
representative synthetic and real data examples, we conduct a detailed
comparison of our approach with a benchmark empirical Bayes de-noising method
(due to Johnstone and Silverman). We show that the caravan prior fares well and
is therefore a useful addition to the wavelet de-noising toolbox.Comment: 32 pages, 15 figures, 4 table
A Fusion Framework for Camouflaged Moving Foreground Detection in the Wavelet Domain
Detecting camouflaged moving foreground objects has been known to be
difficult due to the similarity between the foreground objects and the
background. Conventional methods cannot distinguish the foreground from
background due to the small differences between them and thus suffer from
under-detection of the camouflaged foreground objects. In this paper, we
present a fusion framework to address this problem in the wavelet domain. We
first show that the small differences in the image domain can be highlighted in
certain wavelet bands. Then the likelihood of each wavelet coefficient being
foreground is estimated by formulating foreground and background models for
each wavelet band. The proposed framework effectively aggregates the
likelihoods from different wavelet bands based on the characteristics of the
wavelet transform. Experimental results demonstrated that the proposed method
significantly outperformed existing methods in detecting camouflaged foreground
objects. Specifically, the average F-measure for the proposed algorithm was
0.87, compared to 0.71 to 0.8 for the other state-of-the-art methods.Comment: 13 pages, accepted by IEEE TI
- …