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Utilizing Machine Learning for Signal Classification and Noise Reduction in Amateur Radio
[article]
2024
arXiv
pre-print
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In the realm of amateur radio, the effective classification of signals and the mitigation of noise play crucial roles in ensuring reliable communication. ...
Traditional methods for signal classification and noise reduction often rely on manual intervention and predefined thresholds, which can be labor-intensive and less adaptable to dynamic radio environments ...
Signal-to-Noise Ratio (SNR): We estimated the signal-tonoise ratio (SNR) of the input signal to quantify the ratio of signal power to noise power. ...
arXiv:2402.17771v1
fatcat:putzqmkl3bairn73nxdthun6sy
Diversity and Decoding in Non-Ideal Conditions
[chapter]
2011
Advanced Trends in Wireless Communications
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User terminals have to be small enough to consume and emit low power. As a result, antennas cannot be spaced far apart enough to have independent and diverse branches for the received signals. ...
However, it can be seen from equation (10) that the reduced signal-tonoise ratio needs to be considered in these (L-1) transformed branches, while the last Lth transformed branch has an increased signal-to-noise ...
Diversity and Decoding in Non-Ideal Conditions, Advanced Trends in Wireless Communications, Dr. ...
doi:10.5772/15047
fatcat:544l42owczgtdj2fz2cfuzl37u
New challenges in wireless and free space optical communications
2017
Optics and lasers in engineering
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This manuscript presents a survey on new challenges in wireless communication systems and discusses recent approaches to address some recently raised problems by the wireless community. ...
Theoretical and experimental results based on several research projects or studies are briefly provided. Essential, basic and many self references are cited. ...
Acknowledgments The authors would like to express their deepest gratitude for the following colleagues ...
doi:10.1016/j.optlaseng.2016.03.027
fatcat:kwo4q4uotndn7hsjbrzrrp3tym
Adaptive modulation and MIMO coding for broadband wireless data networks
2002
IEEE Communications Magazine
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We suggest guidelines to help in the design of robust, complexity/cost-effective algorithms for these future wireless networks. ...
Those additional dimensions are mainly frequency, especially in multicarrier systems, and space in multiple-antenna systems, particularly multiarray multiple-input multiple-output communication systems ...
Since each mode has a different data rate (expressed in bits per second) and robustness level (minimum signal-tonoise ratio (SNR) needed to activate the mode), they are optimal for use in different channel ...
doi:10.1109/mcom.2002.1007416
fatcat:c7ugdk353zes3ljkglg4m3xizy
Deep Learning-Based Autoencoder for m-User Wireless Interference Channel Physical Layer Design
2020
IEEE Access
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ACKNOWLEDGMENT The authors would like to thank Dr Menuc Oner from University of Sussex for his reviewing and helpful comments. ...
His research interests include the area of optical wireless communications, free space optics, visible light communications, RF communications, indoor high-accuracy positioning, optical sensing and detecting ...
We demonstrate that our proposed ADL-assist algorithm has a significant capability to overcome the effect induced by different levels of interference-tonoise ratio (INR). ...
doi:10.1109/access.2020.3025597
fatcat:kslgfc5jhndyjec7hsupra3k4u
Deep-Space Optical Communications: Future Perspectives and Applications
2011
Proceedings of the IEEE
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provided the incentive for further demonstrations to extend the range to deep space. ...
The promise of laser communications, high data rate delivery with significantly reduced aperture size for the flight terminal, led to the pursuit of several successful experiments from Earth orbit and ...
The second approach is more robust but also requires the element aperture diameter to provide sufficient signal-tonoise ratio for performing acquisition. ...
doi:10.1109/jproc.2011.2160609
fatcat:emgo6n42kzaatgcxnlhbaecrvi
Blind Detection of Underwater Acoustic Communication Signals Based on Deep Learning
2020
IEEE Access
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a SS distribution, the mixed signal-tonoise ratio (MSNR) is used to measure the power relationship between the signal and noise. ...
good noise reduction capability, thus significantly enhancing the detection performance for weak signals; In comparison, the performance of existing methods decreases at low signal-to-noise ratios (SNRs ...
This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. ...
doi:10.1109/access.2020.3036883
fatcat:4pnwovtggncjjbz6jm7fnmudpi
Deep Learning-Based Solutions for 5G Network and 5G-Enabled Internet of Vehicles: Advances, Meta-Data Analysis, and Future Direction
2022
Mathematical Problems in Engineering
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The deep learning algorithm solutions for security, energy, resource management, 5G-enabled IoV, and mobile network in 5G communication systems were presented including several other applications. ...
In this article, we present a survey on the applications of deep learning algorithms for solving problems in 5G mobile network and 5G powered IoV. ...
overhead and enhances signal-tonoise ratio. ...
doi:10.1155/2022/6855435
fatcat:i2rzrbvt4bbwpgebuwhisgilyu
Integration of Communication and Sensing in 6G: a Joint Industrial and Academic Perspective
[article]
2021
arXiv
pre-print
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new radio access technologies and high-resolution localization and sensing. ...
6G will likely be the first generation of mobile communication that will feature tight integration of localization and sensing with communication functionalities. ...
be impacted by non-linear distortion with memory effects and by linear distortion [53] (iv) frequency-dependent in-phase and quadrature (IQ) imbalance [54] degrades the signal-tonoise ratio (SNR) ...
arXiv:2106.13023v1
fatcat:jumt675zhfdlznr4x5czlqzoze
Channel Characterization and Robust Tracking for Diversity Reception over Time-Variant Off-Body Wireless Communication Channels
2010
EURASIP Journal on Advances in Signal Processing
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For the dynamic channel estimation, a scheme using hard decision feedback after MRC with adaptive low-pass filtering is demonstrated to be successful in providing robust data detection for long data bursts ...
In the 2.45 GHz band, indoor wireless off-body data communication by a moving person can be problematic due to time-variant signal fading and the consequent variation in channel parameters. ...
Acknowledgments This work was supported by the Fund for Scientific Research-Flanders (FWO-V) by Project "Advanced space-time processing techniques for communication through multiantenna systems in realistic ...
doi:10.1155/2010/978085
fatcat:igojxzahojdclp6mp7dwamamkm
Research on Speech Emotion Recognition Method Based A-CapsNet
2022
Applied Sciences
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The database EMODB is then used to analyze and compare the performance of the model proposed in this paper under different signal-to-noise ratios, and the results show that the proposed model and data ...
To address the concerns of limited speech data resources and model training overfitting, A-CapsNet, a neural network model based on data augmentation methodologies, is proposed in this research. ...
Data Availability Statement: All data and materials are available upon request.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/app122412983
fatcat:zcgtuwgd4vak5o2bwkjfuuwzqq
Demands of visual processing hierarchy shape laminar compartmentalization of attention modulation of luminance contrast in area V4
[article]
2021
bioRxiv
pre-print
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Attention has been shown to selectively enhance the responses to low contrast stimuli in visual area V4, a critical hub that sends projections both up and down the visual hierarchy. ...
We found that attentional modulation of contrast responses in area V4 is cortical layer and cell-class specific. ...
ACKNOWLEDGEMENTS This research was supported by NIH R00 EY025026 to MPJ, NARSAD Young Investigator Grant, Ziegler Foundation Grant and Yale Orthwein Scholar Funds to ASN, and by NEI core grant for vision ...
doi:10.1101/2021.02.15.431312
fatcat:fq4mrno6nndrtelddinl4pxrae
Data-Driven Technology in Event-Based Vision
2021
Complexity
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efficiency and robustness. ...
Current status and future trends of event-based data-driven technology are presented successively in terms of hardware, datasets, and algorithms, providing guidance for future research. ...
Other works process groups of events simultaneously for high signal-tonoise ratio, integrating events with a fixed number [38] or in a fixed time window [36, 37] . ese methods achieve remarkable performance ...
doi:10.1155/2021/6689337
doaj:0d0890fb649b4ea786696448a5c5966a
fatcat:xrn7xoo3yrgetjhevfdnw76tiu
A Survey on Soft Computing Techniques for Spectrum Sensing in a Cognitive Radio Network
2020
SN Computer Science
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A CRN, therefore, plays a significant role in the field of wireless communication, and an efficient spectrum sensing enhances the effectiveness of the CRN. ...
Furthermore, the paper also suggests the future prospects, research challenges and open issues associated with soft computing techniques for spectrum sensing in CRN. ...
One
Fig. 7 Basic spectrum sensing techniques [35] of the drawbacks associated with energy detection technique is that it performs poorly in low signal-tonoise ratio and also the estimation error due ...
doi:10.1007/s42979-020-00372-z
fatcat:jk3gcvhp3batdgwyc47hv7y54e
Reconfigurable antennas and link adaptation algorithms for MIMO-OFDM wireless systems
2015
EURASIP Journal on Wireless Communications and Networking
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The algorithm operates in two main stages; first, it searches for the antenna configuration that yields the highest post processing signal-to-noise ratio (ppSNR) and, then, applies AMC to improve spectral ...
We propose a low complexity spatial adaptive modulation and coding (AMC) algorithm that uses the advantages of pattern reconfigurable antennas in concert with link adaptation to improve MIMO-OFDM link ...
Acknowledgements The authors would like to thank Damiano Patron and Nikhil Gulati for the valuable comments and suggestions to improve the quality of the paper. ...
doi:10.1186/s13638-015-0390-6
fatcat:xqfw43gbrrcl3cyz7dx6jifrsm
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