Pub Date : 2020-11-25DOI: 10.1109/EnT50437.2020.9431289
M. Ushakova, Y. Ushakov, Jie Cui, L. Legashev, A. Shukhman, Aleksandr V. Bolodurin
This paper discusses the problems that arise with different ways of connecting virtual network switches with the OpenFlow mode. A technique for automated research of performance parameters of virtual switches with OpenFlow support is proposed. The study revealed modes in which significant packet loss and delays of more than 100 ms occur. It was found that on different parts of the packet's route, using Open vSwitch in OpenFlow mode inside virtual machines is not optimal. Also, the connection for virtualization systems via Open vSwitch is preferable to Linux Bridge. Exceeding the load beyond the identified limits entails the need to optimize the Open vSwitch and install the DPDK module for low-latency switching or change the load balancing on such nodes.
{"title":"Research of Performance Parameters of Virtual Switches with OpenFlow Support","authors":"M. Ushakova, Y. Ushakov, Jie Cui, L. Legashev, A. Shukhman, Aleksandr V. Bolodurin","doi":"10.1109/EnT50437.2020.9431289","DOIUrl":"https://doi.org/10.1109/EnT50437.2020.9431289","url":null,"abstract":"This paper discusses the problems that arise with different ways of connecting virtual network switches with the OpenFlow mode. A technique for automated research of performance parameters of virtual switches with OpenFlow support is proposed. The study revealed modes in which significant packet loss and delays of more than 100 ms occur. It was found that on different parts of the packet's route, using Open vSwitch in OpenFlow mode inside virtual machines is not optimal. Also, the connection for virtualization systems via Open vSwitch is preferable to Linux Bridge. Exceeding the load beyond the identified limits entails the need to optimize the Open vSwitch and install the DPDK module for low-latency switching or change the load balancing on such nodes.","PeriodicalId":129694,"journal":{"name":"2020 International Conference Engineering and Telecommunication (En&T)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127694403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-25DOI: 10.1109/EnT50437.2020.9431288
V. Astapenko, S. Sakhno, A. Yakovets, E. Khramov, E. V. Sakhno
In the work, the comparison of sensitivities of optical plasmon sensors constructed on the basis of semiconductor nanoparticles of various shapes is presented. The calculation was made within the framework of the dipole approximation. A characteristic of sensitivity is the value of the shift of the plasmon resonance maximum per unit change in the refractive index of a medium. The influence of the material of a nanoparticle and its shape on the sensitivity of an optical plasmon sensor is shown.
{"title":"The Influence of the Material and Geometrical Shape of a Semiconductor Nanoparticle on the Sensitivity of an Optical Plasmon Sensor","authors":"V. Astapenko, S. Sakhno, A. Yakovets, E. Khramov, E. V. Sakhno","doi":"10.1109/EnT50437.2020.9431288","DOIUrl":"https://doi.org/10.1109/EnT50437.2020.9431288","url":null,"abstract":"In the work, the comparison of sensitivities of optical plasmon sensors constructed on the basis of semiconductor nanoparticles of various shapes is presented. The calculation was made within the framework of the dipole approximation. A characteristic of sensitivity is the value of the shift of the plasmon resonance maximum per unit change in the refractive index of a medium. The influence of the material of a nanoparticle and its shape on the sensitivity of an optical plasmon sensor is shown.","PeriodicalId":129694,"journal":{"name":"2020 International Conference Engineering and Telecommunication (En&T)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123800981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-25DOI: 10.1109/EnT50437.2020.9431316
N. Dudarev, D. Fomin, S. Darovskikh
The application of the volumetric strip-slot transition is relevant for the implementation of contactless microwave power transmission device or microwave filtering device. This statement can be confirmed by several arguments. Firstly, it is due to compactness of the volumetric strip-slot transition that achieved by the multilayer arrangement of its functional parts. Secondly, it is due to the frequency-selective properties of the volumetric strip-slot transition which can be classified as band-pass. And thirdly, the volume-modular principle of its design makes it possible to ensure the replacement of individual components of the volumetric strip-slot transition. It allows to ensure high functional flexibility of the volumetric strip-slot transition. At the same time an important line in the development of wireless electronics is miniaturization of devices that operates in the microwave frequency range. In this case the issue of miniaturization of the volumetric strip-slot transition can be solved with the use of a U-shaped slot resonator. The purpose of this article is to present the results of theoretical and experimental researches of the matrix of S-parameters for the miniaturized volumetric strip-slot transition. The matrix of S-parameters of the volumetric strip-slot transition is found by the numerical simulation with a rigorous electrodynamics formulation. Experimental results obtained on the volumetric strip-slot transition sample are in the good numerical agreement with the simulated results.
{"title":"Miniaturization of the Volumetric Strip-Slot Transition and Investigation of its Matrix of S-parameters","authors":"N. Dudarev, D. Fomin, S. Darovskikh","doi":"10.1109/EnT50437.2020.9431316","DOIUrl":"https://doi.org/10.1109/EnT50437.2020.9431316","url":null,"abstract":"The application of the volumetric strip-slot transition is relevant for the implementation of contactless microwave power transmission device or microwave filtering device. This statement can be confirmed by several arguments. Firstly, it is due to compactness of the volumetric strip-slot transition that achieved by the multilayer arrangement of its functional parts. Secondly, it is due to the frequency-selective properties of the volumetric strip-slot transition which can be classified as band-pass. And thirdly, the volume-modular principle of its design makes it possible to ensure the replacement of individual components of the volumetric strip-slot transition. It allows to ensure high functional flexibility of the volumetric strip-slot transition. At the same time an important line in the development of wireless electronics is miniaturization of devices that operates in the microwave frequency range. In this case the issue of miniaturization of the volumetric strip-slot transition can be solved with the use of a U-shaped slot resonator. The purpose of this article is to present the results of theoretical and experimental researches of the matrix of S-parameters for the miniaturized volumetric strip-slot transition. The matrix of S-parameters of the volumetric strip-slot transition is found by the numerical simulation with a rigorous electrodynamics formulation. Experimental results obtained on the volumetric strip-slot transition sample are in the good numerical agreement with the simulated results.","PeriodicalId":129694,"journal":{"name":"2020 International Conference Engineering and Telecommunication (En&T)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128082272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-25DOI: 10.1109/EnT50437.2020.9431244
Daniil Berezhnoy, Timur Bergaliyev, S. Sakhno
The technology of active-BCI and computer-controlled neural stimulation is rapidly developing, mostly in animal experiments and preclinical research. However, there are no commercially available portable devices for neural stimulation and no universal protocol for wireless data transfer, that could be used in such experiments. We propose the device, based on the commercially available Bluetooth-modules, that could be adapted for this task. Main component of the proposed small neural stimulator, which can be fixed on laboratory animals' back, is a current source, controlled by the output of Bluetooth-module (Slave). Another module (Master) is connected to the computer and sends commands thru RFCOMM protocol. Experiments with the device prototype show that simple byte-codes sent to the virtual COM-port can directly transmit the waveforms of the trains of impulses, used in experiments with deep brain stimulation. This work shows the potential of using Bluetooth-protocol and widely available Bluetooth-modules for the development of neural stimulation devices.
{"title":"Application of the Bluetooth Protocol for Data Transfer from Computer to the Brain in Active BCI-Interfaces and Development of the Small Bluetooth Neural Stimulation Device","authors":"Daniil Berezhnoy, Timur Bergaliyev, S. Sakhno","doi":"10.1109/EnT50437.2020.9431244","DOIUrl":"https://doi.org/10.1109/EnT50437.2020.9431244","url":null,"abstract":"The technology of active-BCI and computer-controlled neural stimulation is rapidly developing, mostly in animal experiments and preclinical research. However, there are no commercially available portable devices for neural stimulation and no universal protocol for wireless data transfer, that could be used in such experiments. We propose the device, based on the commercially available Bluetooth-modules, that could be adapted for this task. Main component of the proposed small neural stimulator, which can be fixed on laboratory animals' back, is a current source, controlled by the output of Bluetooth-module (Slave). Another module (Master) is connected to the computer and sends commands thru RFCOMM protocol. Experiments with the device prototype show that simple byte-codes sent to the virtual COM-port can directly transmit the waveforms of the trains of impulses, used in experiments with deep brain stimulation. This work shows the potential of using Bluetooth-protocol and widely available Bluetooth-modules for the development of neural stimulation devices.","PeriodicalId":129694,"journal":{"name":"2020 International Conference Engineering and Telecommunication (En&T)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131964041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-25DOI: 10.1109/EnT50437.2020.9431242
Ilya Shchuka, Saydash Miftakhov, Vladislav Patrushev, M. Tikhonova, Alena Fenogenova
The paper presents a method for meal recognition, ingredient extraction and recipe suggestion in the Russian language. The proposed algorithm consists of several consecutive stages. On the first stage the model extracts a list of ingredients from a photo of the dish, based on which recipes on the second stage are selected. Two ingredient extraction architectures were tested for the first stage and three recipe matching methods for recipe suggestion are proposed. In addition, the algorithm was incorporated into the telegram-bot which provides friendly user experience. Source code is at https://github.com/Alenushldish_id_sirius.
{"title":"Dish-ID: A neural-based method for ingredient extraction and further recipe suggestion","authors":"Ilya Shchuka, Saydash Miftakhov, Vladislav Patrushev, M. Tikhonova, Alena Fenogenova","doi":"10.1109/EnT50437.2020.9431242","DOIUrl":"https://doi.org/10.1109/EnT50437.2020.9431242","url":null,"abstract":"The paper presents a method for meal recognition, ingredient extraction and recipe suggestion in the Russian language. The proposed algorithm consists of several consecutive stages. On the first stage the model extracts a list of ingredients from a photo of the dish, based on which recipes on the second stage are selected. Two ingredient extraction architectures were tested for the first stage and three recipe matching methods for recipe suggestion are proposed. In addition, the algorithm was incorporated into the telegram-bot which provides friendly user experience. Source code is at https://github.com/Alenushldish_id_sirius.","PeriodicalId":129694,"journal":{"name":"2020 International Conference Engineering and Telecommunication (En&T)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134320948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The article provides a comparative analysis of the trilateration and min-max methods. In a indoor area, experiments were carried out to determine the exact location of the reader. The experiment used the following equipment: Bluetooth 5.0 BLE beacons for positioning a mobile device, a mobile device with a Bluetooth 5.0 sensor for reading BLE beacons, a laptop for receiving and processing data from a mobile device. In the course of the experiment, the minuses and pluses were identified, as well as the result was presented in the form of a table and a figure at the end of the article.
{"title":"Comparative Analysis of Indoor Positioning Methods Based on the Wireless Sensor Network of Bluetooth Low Energy Beacons","authors":"Astafiev Alexandr, Demidov Anton, Makarov Mikhail, Kondrushin Ilya","doi":"10.1109/EnT50437.2020.9431286","DOIUrl":"https://doi.org/10.1109/EnT50437.2020.9431286","url":null,"abstract":"The article provides a comparative analysis of the trilateration and min-max methods. In a indoor area, experiments were carried out to determine the exact location of the reader. The experiment used the following equipment: Bluetooth 5.0 BLE beacons for positioning a mobile device, a mobile device with a Bluetooth 5.0 sensor for reading BLE beacons, a laptop for receiving and processing data from a mobile device. In the course of the experiment, the minuses and pluses were identified, as well as the result was presented in the form of a table and a figure at the end of the article.","PeriodicalId":129694,"journal":{"name":"2020 International Conference Engineering and Telecommunication (En&T)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129507467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-25DOI: 10.1109/EnT50437.2020.9431300
Van-Kien Vu, V. Tran
This paper presents approaches for modeling and simulating RF power amplifiers and increasing transmitter linearity using adaptive digital predistortion technique. The memory polynomial models, indirect learning architecture and coefficients update algorithms such as recursive prediction error method, Kalman filter and recursive least squares are considered. The simulation results in the DVB-T2 standard indicate that an adjacent channel leakage ratio correction of over 25 dB is obtained due to linearization.
{"title":"Adaptive Digital Predistortion of RF Power Amplifiers Based on Memory Polynomial Model and Indirect Learning Architecture","authors":"Van-Kien Vu, V. Tran","doi":"10.1109/EnT50437.2020.9431300","DOIUrl":"https://doi.org/10.1109/EnT50437.2020.9431300","url":null,"abstract":"This paper presents approaches for modeling and simulating RF power amplifiers and increasing transmitter linearity using adaptive digital predistortion technique. The memory polynomial models, indirect learning architecture and coefficients update algorithms such as recursive prediction error method, Kalman filter and recursive least squares are considered. The simulation results in the DVB-T2 standard indicate that an adjacent channel leakage ratio correction of over 25 dB is obtained due to linearization.","PeriodicalId":129694,"journal":{"name":"2020 International Conference Engineering and Telecommunication (En&T)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116590871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-25DOI: 10.1109/EnT50437.2020.9431262
S. Dushin, Igor Y. Kurov, S. Shavrin, V. S. Aleshin, M. Farkhadov
High data rate data transmission in hydroacoustic communication in shallow water faces a lot of problems due to the doubly selective nature of the channel, which is characterized by long delay time-varying impulse response and significant Doppler shifting. Multicarrier modulation is a powerful method of inter symbol interference mitigating in these conditions, but significant time-selectivity leads to the inter carrier interference. In this paper the efficiency of different multicarrier schemes is being investigated in the application specified, targeting to choose the viable parameters for each considered scheme, using simulation and analysis of their property. In particular, we consider conventional OFDM, filtered OFDM, windowed OFDM, QAM-FBMC and UFMC, which are combined with fast convergence RLS based equalizer. The simulation is being performed using open source software Filter Bank Multicarrier Modulation. The channel is being simulated using Brest Commercial Harbor experiment from Watermark benchmark, which provides measured characteristics of real impulse responses of the channels in shallow water within band 32.5-37.5 kHz. The theoretical analysis and simulation results show that FBMC approach provides significantly better performance compare to its OFDM counterparts for large number of subcarriers (2500 subcarriers). On the other hand, the realization of FBMC-QAM system in such case is computationally more complex. It is also important that for all considered schemes the performance is highly depend on equalizer characteristics.
{"title":"Multicarrier modulation schemes efficiency investigation in shallow water hydroacoustic communication application","authors":"S. Dushin, Igor Y. Kurov, S. Shavrin, V. S. Aleshin, M. Farkhadov","doi":"10.1109/EnT50437.2020.9431262","DOIUrl":"https://doi.org/10.1109/EnT50437.2020.9431262","url":null,"abstract":"High data rate data transmission in hydroacoustic communication in shallow water faces a lot of problems due to the doubly selective nature of the channel, which is characterized by long delay time-varying impulse response and significant Doppler shifting. Multicarrier modulation is a powerful method of inter symbol interference mitigating in these conditions, but significant time-selectivity leads to the inter carrier interference. In this paper the efficiency of different multicarrier schemes is being investigated in the application specified, targeting to choose the viable parameters for each considered scheme, using simulation and analysis of their property. In particular, we consider conventional OFDM, filtered OFDM, windowed OFDM, QAM-FBMC and UFMC, which are combined with fast convergence RLS based equalizer. The simulation is being performed using open source software Filter Bank Multicarrier Modulation. The channel is being simulated using Brest Commercial Harbor experiment from Watermark benchmark, which provides measured characteristics of real impulse responses of the channels in shallow water within band 32.5-37.5 kHz. The theoretical analysis and simulation results show that FBMC approach provides significantly better performance compare to its OFDM counterparts for large number of subcarriers (2500 subcarriers). On the other hand, the realization of FBMC-QAM system in such case is computationally more complex. It is also important that for all considered schemes the performance is highly depend on equalizer characteristics.","PeriodicalId":129694,"journal":{"name":"2020 International Conference Engineering and Telecommunication (En&T)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125800651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-25DOI: 10.1109/EnT50437.2020.9431266
Ayonya Prabhakaran, Vijay Kumar Chaurasiya, Sunakshi Singh, S. Yadav
Securing the network and associated infrastructure is a never-ending process. Researchers and network administrators are continuously developing new tools and technologies to protect the network and related infrastructure. Intrusion Detection System (IDS) is one of them. Artificial neural networks can learn and improve its performance if appropriately trained with the optimal feature vectors. In this paper, a Recurrent Neural Networks (RNN) and LSTM based machine learning model is proposed to detect and classify the type of intrusion depending upon the input data. Once trained, the proposed method will remember the classification task and subsequently become able to classify the attack whenever a new set of inputs are provided to the pre-trained model. The proposed RNN and LSTM model has been tested over the NSL-KDD data-set and evaluated for varying different parameters (i.e., layers with a fixed number of neurons) and the width of the proposed models (i.e., number of neurons on a single hidden layer). The results proved that the proposed model performs better than the existing models in terms of accuracy.
{"title":"An Optimized Deep Learning Framework for Network Intrusion Detection System (NIDS)","authors":"Ayonya Prabhakaran, Vijay Kumar Chaurasiya, Sunakshi Singh, S. Yadav","doi":"10.1109/EnT50437.2020.9431266","DOIUrl":"https://doi.org/10.1109/EnT50437.2020.9431266","url":null,"abstract":"Securing the network and associated infrastructure is a never-ending process. Researchers and network administrators are continuously developing new tools and technologies to protect the network and related infrastructure. Intrusion Detection System (IDS) is one of them. Artificial neural networks can learn and improve its performance if appropriately trained with the optimal feature vectors. In this paper, a Recurrent Neural Networks (RNN) and LSTM based machine learning model is proposed to detect and classify the type of intrusion depending upon the input data. Once trained, the proposed method will remember the classification task and subsequently become able to classify the attack whenever a new set of inputs are provided to the pre-trained model. The proposed RNN and LSTM model has been tested over the NSL-KDD data-set and evaluated for varying different parameters (i.e., layers with a fixed number of neurons) and the width of the proposed models (i.e., number of neurons on a single hidden layer). The results proved that the proposed model performs better than the existing models in terms of accuracy.","PeriodicalId":129694,"journal":{"name":"2020 International Conference Engineering and Telecommunication (En&T)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125275637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-25DOI: 10.1109/EnT50437.2020.9431271
A. Fateeva, I. Kashchenko
This article presents an adaptive calibration method for time interleaved ADCs. This method is based on the use of the LMS algorithm to calibrate the channel gain and the Euler numerical integration method to compensate the offset voltage of the ADC channels and “data averaging”. The use of the Farrow filter for the time synchronization of ADC channels is corroborated. The degree of the Lagrange polynomial of the allpass Farrow filter is determined, which corresponds to the cubic interpolation. The results of simulation of the proposed method are presented, including spectral analysis of the output signal before and after calibration.
{"title":"Adaptive Calibration Method for Time-Interleaved ADCs","authors":"A. Fateeva, I. Kashchenko","doi":"10.1109/EnT50437.2020.9431271","DOIUrl":"https://doi.org/10.1109/EnT50437.2020.9431271","url":null,"abstract":"This article presents an adaptive calibration method for time interleaved ADCs. This method is based on the use of the LMS algorithm to calibrate the channel gain and the Euler numerical integration method to compensate the offset voltage of the ADC channels and “data averaging”. The use of the Farrow filter for the time synchronization of ADC channels is corroborated. The degree of the Lagrange polynomial of the allpass Farrow filter is determined, which corresponds to the cubic interpolation. The results of simulation of the proposed method are presented, including spectral analysis of the output signal before and after calibration.","PeriodicalId":129694,"journal":{"name":"2020 International Conference Engineering and Telecommunication (En&T)","volume":"2607 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114164528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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