Pub Date : 2022-03-30DOI: 10.1109/DSPA53304.2022.9805435
A. V. Zhila, Kritisha Panda, A. Ovsyannikova
The paper presents a method for optimizing single-frequency signals with a given rate of decrease in the level of the energy spectrum and restrictions on the correlation coefficient. The influence of the restriction on the choice of the number of expansion coefficients in the Fourier series and the value of the PAPR of radiated oscillations on the solution of the optimization problem is considered. The energy loss with a decrease in the number of expansion coefficients of the optimal envelope from m = 21 to m = 2 is 0.1-0.2 dB with an error probability of 10-3.
{"title":"On the Estimation of Distortions of Optimal Spectrally Efficient Signals with a Decrease in the Accuracy of the Expansion Coefficients and a Restriction on the BER Performance","authors":"A. V. Zhila, Kritisha Panda, A. Ovsyannikova","doi":"10.1109/DSPA53304.2022.9805435","DOIUrl":"https://doi.org/10.1109/DSPA53304.2022.9805435","url":null,"abstract":"The paper presents a method for optimizing single-frequency signals with a given rate of decrease in the level of the energy spectrum and restrictions on the correlation coefficient. The influence of the restriction on the choice of the number of expansion coefficients in the Fourier series and the value of the PAPR of radiated oscillations on the solution of the optimization problem is considered. The energy loss with a decrease in the number of expansion coefficients of the optimal envelope from m = 21 to m = 2 is 0.1-0.2 dB with an error probability of 10-3.","PeriodicalId":428492,"journal":{"name":"2022 24th International Conference on Digital Signal Processing and its Applications (DSPA)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125142365","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 : 2022-03-30DOI: 10.1109/dspa53304.2022.9790786
V. Sataev
The article deals with the modeling and synthesis of Gaussian filters designed for selection of complex noise-like signals in the path of a hydroacoustic receiving station. The formulation and solution of the problem of synthesizing a digital Gaussian IIR filter using methods of discrete nonlinear mathematical programming is presented. An example of solving the problem of discrete synthesis of a 12-bit narrowband Gaussian filter using sampling with a frequency margin is considered. A comparison of its theoretical and experimental characteristics is given.
{"title":"Designing Gaussian Filters in the Structure of a Hydroacoustic Channel","authors":"V. Sataev","doi":"10.1109/dspa53304.2022.9790786","DOIUrl":"https://doi.org/10.1109/dspa53304.2022.9790786","url":null,"abstract":"The article deals with the modeling and synthesis of Gaussian filters designed for selection of complex noise-like signals in the path of a hydroacoustic receiving station. The formulation and solution of the problem of synthesizing a digital Gaussian IIR filter using methods of discrete nonlinear mathematical programming is presented. An example of solving the problem of discrete synthesis of a 12-bit narrowband Gaussian filter using sampling with a frequency margin is considered. A comparison of its theoretical and experimental characteristics is given.","PeriodicalId":428492,"journal":{"name":"2022 24th International Conference on Digital Signal Processing and its Applications (DSPA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126828369","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 : 2022-03-30DOI: 10.1109/dspa53304.2022.9790757
D. Nikolaev, S. Shchelykalina, Konstantine A. Korostylev, Viktoria V. Semenova, V. Kolesnikov, G. Vassilieva
The article presents data on preliminary studies aimed at developing a technology for prognosis of orthostatic instability of astronauts and volunteers under the action of unfavorable factors of space flight and carrying out preventive measures, particularly, during rotation on a short-radius centrifuge, functional orthostatic tests, and for patients with orthostatic instability. The technology proposed for the prediction of the development of syncope states is based on monitoring changes in the electrical resistance of regions of the human body.
{"title":"Measurement and Computational Procedures of Bioimpedance Analysis to Assess Human Postural Instability in Clinical and Space Medicine Research","authors":"D. Nikolaev, S. Shchelykalina, Konstantine A. Korostylev, Viktoria V. Semenova, V. Kolesnikov, G. Vassilieva","doi":"10.1109/dspa53304.2022.9790757","DOIUrl":"https://doi.org/10.1109/dspa53304.2022.9790757","url":null,"abstract":"The article presents data on preliminary studies aimed at developing a technology for prognosis of orthostatic instability of astronauts and volunteers under the action of unfavorable factors of space flight and carrying out preventive measures, particularly, during rotation on a short-radius centrifuge, functional orthostatic tests, and for patients with orthostatic instability. The technology proposed for the prediction of the development of syncope states is based on monitoring changes in the electrical resistance of regions of the human body.","PeriodicalId":428492,"journal":{"name":"2022 24th International Conference on Digital Signal Processing and its Applications (DSPA)","volume":"284 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116100198","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 paper posed and successfully solved the problems of increasing the speed of methods and algorithms of two-dimensional (2D) digital Fourier processing, analyzing the properties of 2D discrete Fourier transform (2D DFT) and the possibilities of applying methods and algorithms developed in one-dimensional digital Fourier processing. The performed systems analysis of the transition from 1D to 2D digital Fourier processing of 2D FD signals showed that such a transition is far from trivial. Some important properties of 2D DFT have no analogs at all in the one-dimensional case and, therefore, some important properties of 2D DFT cannot be obtained by generalizing the properties of 1D DFT to the two-dimensional case. In the transition from 1D to 2D Fourier processing of 2D FD signals, the computational costs also increase by several orders of magnitude. This posed the challenge of developing fast procedures for 2D DFT implementation of 2D FD signals. One of the important analytical properties of 2D DFT, the theoretical basis of classical Fourier processing of 2D FD signals, is the separability of its kernel. Based on the consequences arising from this property of the 2D DFT kernel, two methods have been developed to reduce the number of computational operations in the implementation of 2D DFT of 2D FD signals. The basis of these methods is fast one-dimensional Fourier transform algorithm with decimation in time, no place way. The work proved the effectiveness and efficiency of the proposed methods by means of mathematical modeling.
{"title":"Methods for Increasing Speed of Two-Dimensional Discrete Fourier Transform of 2D Finite Discrete Signals","authors":"Ponomareva Olga, Ponomarev Alexey, Smirnova Natalia","doi":"10.1109/dspa53304.2022.9790771","DOIUrl":"https://doi.org/10.1109/dspa53304.2022.9790771","url":null,"abstract":"The paper posed and successfully solved the problems of increasing the speed of methods and algorithms of two-dimensional (2D) digital Fourier processing, analyzing the properties of 2D discrete Fourier transform (2D DFT) and the possibilities of applying methods and algorithms developed in one-dimensional digital Fourier processing. The performed systems analysis of the transition from 1D to 2D digital Fourier processing of 2D FD signals showed that such a transition is far from trivial. Some important properties of 2D DFT have no analogs at all in the one-dimensional case and, therefore, some important properties of 2D DFT cannot be obtained by generalizing the properties of 1D DFT to the two-dimensional case. In the transition from 1D to 2D Fourier processing of 2D FD signals, the computational costs also increase by several orders of magnitude. This posed the challenge of developing fast procedures for 2D DFT implementation of 2D FD signals. One of the important analytical properties of 2D DFT, the theoretical basis of classical Fourier processing of 2D FD signals, is the separability of its kernel. Based on the consequences arising from this property of the 2D DFT kernel, two methods have been developed to reduce the number of computational operations in the implementation of 2D DFT of 2D FD signals. The basis of these methods is fast one-dimensional Fourier transform algorithm with decimation in time, no place way. The work proved the effectiveness and efficiency of the proposed methods by means of mathematical modeling.","PeriodicalId":428492,"journal":{"name":"2022 24th International Conference on Digital Signal Processing and its Applications (DSPA)","volume":"4565 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124088959","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 : 2022-03-30DOI: 10.1109/dspa53304.2022.9790772
A. Degtyarev, Karim Saifullin, Sergey Bakhurin
In this paper, the authors propose an algorithm for the hardware implementation complexity reduction of high order FIR-filters. Current algorithm reduces FIR-filters' a number of multipliers expressing initial impulse response samples through the other initial impulse response samples. This approach allows replacing multipliers with shift registers and adders, which leads to reduction of FIR-filters' power consumption and required crystal area. Algorithm works with all types of filters: Low Pass, High Pass, Band Pass, Band Stop and also it supports FIR-filters with symmetrical and asymmetrical impulse responses.
{"title":"High Order FIR Filter Hardware Implementation Complexity Reduction","authors":"A. Degtyarev, Karim Saifullin, Sergey Bakhurin","doi":"10.1109/dspa53304.2022.9790772","DOIUrl":"https://doi.org/10.1109/dspa53304.2022.9790772","url":null,"abstract":"In this paper, the authors propose an algorithm for the hardware implementation complexity reduction of high order FIR-filters. Current algorithm reduces FIR-filters' a number of multipliers expressing initial impulse response samples through the other initial impulse response samples. This approach allows replacing multipliers with shift registers and adders, which leads to reduction of FIR-filters' power consumption and required crystal area. Algorithm works with all types of filters: Low Pass, High Pass, Band Pass, Band Stop and also it supports FIR-filters with symmetrical and asymmetrical impulse responses.","PeriodicalId":428492,"journal":{"name":"2022 24th International Conference on Digital Signal Processing and its Applications (DSPA)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126502976","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 : 2022-03-30DOI: 10.1109/dspa53304.2022.9790778
K. Grebenyuk
Present paper systematizes the knowledge on methods of mathematical representation of pulse-amplitude modulated (PAM) signals. Both natural and flat-top PAM signals have been considered, and for each type of signal two basic ways of representation have been described. Special attention has been paid to mathematical technique of transition from one representation to another. It has been shown that Fourier transform of the natural PAM signal has the functional form of the flat-top PAM signal, and, vice versa, Fourier transform of the flat-top PAM signal has the functional form of the natural PAM signal.
{"title":"Mathematical Representation of Pulse-Amplitude Modulated Signals: A Systematic Approach","authors":"K. Grebenyuk","doi":"10.1109/dspa53304.2022.9790778","DOIUrl":"https://doi.org/10.1109/dspa53304.2022.9790778","url":null,"abstract":"Present paper systematizes the knowledge on methods of mathematical representation of pulse-amplitude modulated (PAM) signals. Both natural and flat-top PAM signals have been considered, and for each type of signal two basic ways of representation have been described. Special attention has been paid to mathematical technique of transition from one representation to another. It has been shown that Fourier transform of the natural PAM signal has the functional form of the flat-top PAM signal, and, vice versa, Fourier transform of the flat-top PAM signal has the functional form of the natural PAM signal.","PeriodicalId":428492,"journal":{"name":"2022 24th International Conference on Digital Signal Processing and its Applications (DSPA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129986795","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 : 2022-03-30DOI: 10.1109/dspa53304.2022.9790776
M. Pogudin, E. Medvedeva
A two-stage algorithm for segmentation of satellite images is proposed, which makes it possible to detect extended textural areas and small-sized objects. The method is based on the representation of multi-digit digital images by a set of bit images and the use of the mathematical apparatus of two-dimensional Markov chains. Transition probabilities for a two-dimensional Markov chain and brightness characteristics are used as textural features of extended objects. The selection of small-sized objects is performed on the basis of an estimate of the amount of information using a mathematical model of a two-dimensional Markov chain. To reduce computational resources, the evaluation of features is carried out using binary images of the highest, most informative, image digits. The average accuracy of segmentation of extended areas according to the F-measure metric is 68.9%, for small-sized objects is 47.5%.
{"title":"Two-Stage Algorithm for Segmentation of Satellite Images","authors":"M. Pogudin, E. Medvedeva","doi":"10.1109/dspa53304.2022.9790776","DOIUrl":"https://doi.org/10.1109/dspa53304.2022.9790776","url":null,"abstract":"A two-stage algorithm for segmentation of satellite images is proposed, which makes it possible to detect extended textural areas and small-sized objects. The method is based on the representation of multi-digit digital images by a set of bit images and the use of the mathematical apparatus of two-dimensional Markov chains. Transition probabilities for a two-dimensional Markov chain and brightness characteristics are used as textural features of extended objects. The selection of small-sized objects is performed on the basis of an estimate of the amount of information using a mathematical model of a two-dimensional Markov chain. To reduce computational resources, the evaluation of features is carried out using binary images of the highest, most informative, image digits. The average accuracy of segmentation of extended areas according to the F-measure metric is 68.9%, for small-sized objects is 47.5%.","PeriodicalId":428492,"journal":{"name":"2022 24th International Conference on Digital Signal Processing and its Applications (DSPA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130413498","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 : 2022-03-30DOI: 10.1109/dspa53304.2022.9790782
E. Medvedeva, I. Trubin, Egor Blinov
This article proposes a method of steganography based on the use of error-correcting codes, in which information is concealed by masking embedded information under bit errors using a secret key. The results of experimental estimates of system characteristics depending on operating modes of the system based on the use of the error control BCH code are presented. It is shown that changing parameters of codes provides flexible system configuration for different tasks. The system is ideal for passive attacks. Active and malicious attackers are able to interrupt the transmission process, but not to prove the presence of hidden information. The method allows organizing a covert information transmission channel regardless of the type of transmitted data.
{"title":"Steganography Method in Error-Correcting Codes","authors":"E. Medvedeva, I. Trubin, Egor Blinov","doi":"10.1109/dspa53304.2022.9790782","DOIUrl":"https://doi.org/10.1109/dspa53304.2022.9790782","url":null,"abstract":"This article proposes a method of steganography based on the use of error-correcting codes, in which information is concealed by masking embedded information under bit errors using a secret key. The results of experimental estimates of system characteristics depending on operating modes of the system based on the use of the error control BCH code are presented. It is shown that changing parameters of codes provides flexible system configuration for different tasks. The system is ideal for passive attacks. Active and malicious attackers are able to interrupt the transmission process, but not to prove the presence of hidden information. The method allows organizing a covert information transmission channel regardless of the type of transmitted data.","PeriodicalId":428492,"journal":{"name":"2022 24th International Conference on Digital Signal Processing and its Applications (DSPA)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126022406","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 : 2022-03-30DOI: 10.1109/dspa53304.2022.9790773
M. Assaf, O. G. Ponomarev
In this paper, we investigate the issue of tracking mode synchronization in 5G new radio based on demodulation reference signal (DMRS) as recommended by the 3rd generation partnership project (3GPP) standards. Separately performing cross-correlation of DMRS symbols for different time positions is conducted to reduce the computational complexity and estimate the value of sampling frequency offset (SFO). To achieve high accuracy, subsample offset estimation is performed based on parabolic interpolation. Performance is evaluated through computer simulations and the results show a rapid convergence of SFO estimator to the actual values and low root mean square error (RMSE) curves for different channel models. The effect of time domain SFO compensation on the performance of maximum likelihood (ML) carrier frequency offset (CFO) estimator is also evaluated in terms of the mean-squared error (MSE) as a function of signal to noise ratio (SNR).
{"title":"On DMRS Tracking Mode Synchronization in Fifth Generation New Radio","authors":"M. Assaf, O. G. Ponomarev","doi":"10.1109/dspa53304.2022.9790773","DOIUrl":"https://doi.org/10.1109/dspa53304.2022.9790773","url":null,"abstract":"In this paper, we investigate the issue of tracking mode synchronization in 5G new radio based on demodulation reference signal (DMRS) as recommended by the 3rd generation partnership project (3GPP) standards. Separately performing cross-correlation of DMRS symbols for different time positions is conducted to reduce the computational complexity and estimate the value of sampling frequency offset (SFO). To achieve high accuracy, subsample offset estimation is performed based on parabolic interpolation. Performance is evaluated through computer simulations and the results show a rapid convergence of SFO estimator to the actual values and low root mean square error (RMSE) curves for different channel models. The effect of time domain SFO compensation on the performance of maximum likelihood (ML) carrier frequency offset (CFO) estimator is also evaluated in terms of the mean-squared error (MSE) as a function of signal to noise ratio (SNR).","PeriodicalId":428492,"journal":{"name":"2022 24th International Conference on Digital Signal Processing and its Applications (DSPA)","volume":"48 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126087581","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 : 2022-03-30DOI: 10.1109/dspa53304.2022.9790749
Ekaterina V. Kolodezeva, I. Sofronov
Data considered were temperature measured by the PLT -9.2 module and thermo-anemometry data measured by the PLT-0.6.3 module. The data were obtained from well production logging in a low-rate horizontal well. On the basis of an analysis of a 12-s thermo-anemometry measurement cycle, we propose a fast and automated fluid phase determination algorithm. The algorithm uses only 2 s of the cycle to reduce the risk of phase changes during measurements. Tests on field data consisting of approximately 1,500 cycles demonstrate stable fluid phase determination of water, oil, and gas. A comparison with expert interpretation of the same field data showed good agreement, with discrepancies between two interpretations primarily occurring during phase changes.
{"title":"Distributed Thermo-Anemometer Data Processing for Wellbore Fluid Phase Determination","authors":"Ekaterina V. Kolodezeva, I. Sofronov","doi":"10.1109/dspa53304.2022.9790749","DOIUrl":"https://doi.org/10.1109/dspa53304.2022.9790749","url":null,"abstract":"Data considered were temperature measured by the PLT -9.2 module and thermo-anemometry data measured by the PLT-0.6.3 module. The data were obtained from well production logging in a low-rate horizontal well. On the basis of an analysis of a 12-s thermo-anemometry measurement cycle, we propose a fast and automated fluid phase determination algorithm. The algorithm uses only 2 s of the cycle to reduce the risk of phase changes during measurements. Tests on field data consisting of approximately 1,500 cycles demonstrate stable fluid phase determination of water, oil, and gas. A comparison with expert interpretation of the same field data showed good agreement, with discrepancies between two interpretations primarily occurring during phase changes.","PeriodicalId":428492,"journal":{"name":"2022 24th International Conference on Digital Signal Processing and its Applications (DSPA)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125114124","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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