Pub Date : 2015-06-10DOI: 10.1109/SPS.2015.7168293
Bogdan Semenov, I. Shelevytsky
Non-linear filter with studentized coefficients of time-frequency decomposition and signal reconstruction is described. The main feature of time-frequency decomposition is least squares estimation of spline fragments of different scales. Filter performs selection of statistically significant components of time-frequency decomposition taking into account local variance of residuals. The main advantage is that it filters fragments of white noise from the signal.
{"title":"Studentized filter of time-frequency analysis and synthesis of the signals","authors":"Bogdan Semenov, I. Shelevytsky","doi":"10.1109/SPS.2015.7168293","DOIUrl":"https://doi.org/10.1109/SPS.2015.7168293","url":null,"abstract":"Non-linear filter with studentized coefficients of time-frequency decomposition and signal reconstruction is described. The main feature of time-frequency decomposition is least squares estimation of spline fragments of different scales. Filter performs selection of statistically significant components of time-frequency decomposition taking into account local variance of residuals. The main advantage is that it filters fragments of white noise from the signal.","PeriodicalId":193902,"journal":{"name":"2015 Signal Processing Symposium (SPSympo)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134151938","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 : 2015-06-10DOI: 10.1109/SPS.2015.7168304
M. Labowski, P. Kaniewski
The paper presents a method of calculation of motion correction parameters for a Synthetic Aperture Radar (SAR) installed on an Unmanned Aerial Vehicle (UAV). The UAV on-board system consists of a Radar Sensor, an Antenna System, a SAR Processor and a Navigation System. The main task of the navigation part is to determine the vector of difference between a theoretical and a real trajectory of the UAV's center of gravity. The paper includes chosen results of experiments obtained during ground tests.
{"title":"Motion compensation for unmanned aerial vehicle's synthetic aperture radar","authors":"M. Labowski, P. Kaniewski","doi":"10.1109/SPS.2015.7168304","DOIUrl":"https://doi.org/10.1109/SPS.2015.7168304","url":null,"abstract":"The paper presents a method of calculation of motion correction parameters for a Synthetic Aperture Radar (SAR) installed on an Unmanned Aerial Vehicle (UAV). The UAV on-board system consists of a Radar Sensor, an Antenna System, a SAR Processor and a Navigation System. The main task of the navigation part is to determine the vector of difference between a theoretical and a real trajectory of the UAV's center of gravity. The paper includes chosen results of experiments obtained during ground tests.","PeriodicalId":193902,"journal":{"name":"2015 Signal Processing Symposium (SPSympo)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134210268","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 : 2015-06-10DOI: 10.1109/SPS.2015.7168275
A. Dobrowolski, Marta Okon
The paper presents a conception of classification method of Visual Evoked Potentials (VEP) to physiological or pathological case based on power spectral parameters. The authors have verified their concept through a series of numerical experiments performed using a dedicated application. As a result of experiments, the final method provided only 4 cases of wrong classification among training data (6%) and 13 among the testing data (43%).
{"title":"Spectral analysis of visual evoked potentials","authors":"A. Dobrowolski, Marta Okon","doi":"10.1109/SPS.2015.7168275","DOIUrl":"https://doi.org/10.1109/SPS.2015.7168275","url":null,"abstract":"The paper presents a conception of classification method of Visual Evoked Potentials (VEP) to physiological or pathological case based on power spectral parameters. The authors have verified their concept through a series of numerical experiments performed using a dedicated application. As a result of experiments, the final method provided only 4 cases of wrong classification among training data (6%) and 13 among the testing data (43%).","PeriodicalId":193902,"journal":{"name":"2015 Signal Processing Symposium (SPSympo)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134348379","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 : 2015-06-10DOI: 10.1109/SPS.2015.7168273
G. Marino, D. Tarchi, V. Kyovtorov, P. F. Sammartino
The term clutter is usually adopted for pointing out unwanted echoes in radar systems. Such echoes are typically returned from ground, sea, rain, animals/insects, chaff and atmospheric turbulences, and can cause serious performance issues with radar systems. Data analysis of clutter echoes is therefore one of the most important tasks in radar signal analysis and system design, especially in case of target tracking or target classification. The paper is addressed for understainding the difficulties in modelling the clutter when the range of interest changes. Obtained results have shown that it is impossible to have a global statistical model for the clutter, depending on the operating geometry of the system.
{"title":"Ground based MIMO SAR and land clutter modelling: Difficulties and guidelines","authors":"G. Marino, D. Tarchi, V. Kyovtorov, P. F. Sammartino","doi":"10.1109/SPS.2015.7168273","DOIUrl":"https://doi.org/10.1109/SPS.2015.7168273","url":null,"abstract":"The term clutter is usually adopted for pointing out unwanted echoes in radar systems. Such echoes are typically returned from ground, sea, rain, animals/insects, chaff and atmospheric turbulences, and can cause serious performance issues with radar systems. Data analysis of clutter echoes is therefore one of the most important tasks in radar signal analysis and system design, especially in case of target tracking or target classification. The paper is addressed for understainding the difficulties in modelling the clutter when the range of interest changes. Obtained results have shown that it is impossible to have a global statistical model for the clutter, depending on the operating geometry of the system.","PeriodicalId":193902,"journal":{"name":"2015 Signal Processing Symposium (SPSympo)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133353628","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 : 2015-06-10DOI: 10.1109/SPS.2015.7168300
O. Zuiev, Yuliia Nemyrovets, T. Baturenko
Recommendations about possible variants of navigation means exploitation systems modernization were considered and questions of quality providing of radio navigation systems functioning during the exploitation were analyzed The usage of specific control algorithms during the exploitation of different radio engineering systems was proposed. Calculation results of such algorithms efficiency were obtained.
{"title":"Questions of navigation systems' functioning quality providing during exploitation","authors":"O. Zuiev, Yuliia Nemyrovets, T. Baturenko","doi":"10.1109/SPS.2015.7168300","DOIUrl":"https://doi.org/10.1109/SPS.2015.7168300","url":null,"abstract":"Recommendations about possible variants of navigation means exploitation systems modernization were considered and questions of quality providing of radio navigation systems functioning during the exploitation were analyzed The usage of specific control algorithms during the exploitation of different radio engineering systems was proposed. Calculation results of such algorithms efficiency were obtained.","PeriodicalId":193902,"journal":{"name":"2015 Signal Processing Symposium (SPSympo)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125744277","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 : 2015-06-10DOI: 10.1109/SPS.2015.7168303
M. Świercz
The paper gives a short introduction to the problem of signal processing for fault diagnostics in engineering systems. The main practical approaches to fault detection and isolation (FDI) are presented and discussed. Commonly used methods of signal processing in the FDI systems are described and briefly characterized.
{"title":"Signal processing methods for fault diagnostics in engineering systems","authors":"M. Świercz","doi":"10.1109/SPS.2015.7168303","DOIUrl":"https://doi.org/10.1109/SPS.2015.7168303","url":null,"abstract":"The paper gives a short introduction to the problem of signal processing for fault diagnostics in engineering systems. The main practical approaches to fault detection and isolation (FDI) are presented and discussed. Commonly used methods of signal processing in the FDI systems are described and briefly characterized.","PeriodicalId":193902,"journal":{"name":"2015 Signal Processing Symposium (SPSympo)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124859975","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 : 2015-06-10DOI: 10.1109/SPS.2015.7168269
F. Yanovsky, Daria M. Turenko, A. O. Nijhuis, Oleg A. Krasnov, Alexander G. Yarovoy
This paper presents mathematical models that are necessary to describe the relationship between Doppler spectrum width of the signal reflected from precipitation and eddy dissipation rate of turbulence kinetic energy. The feature of the models is taking into account the contribution of drop fall velocity variance, which is analyzed in detail, and the inertia of drops. The calculations are done for different turbulence intensity and drop size distribution. The model is suitable for substantiation of allowable errors at EDR estimation and radar signal processing to retrieve information about turbulence intensity.
{"title":"A new model for retrieving information about turbulence intensity from radar signal","authors":"F. Yanovsky, Daria M. Turenko, A. O. Nijhuis, Oleg A. Krasnov, Alexander G. Yarovoy","doi":"10.1109/SPS.2015.7168269","DOIUrl":"https://doi.org/10.1109/SPS.2015.7168269","url":null,"abstract":"This paper presents mathematical models that are necessary to describe the relationship between Doppler spectrum width of the signal reflected from precipitation and eddy dissipation rate of turbulence kinetic energy. The feature of the models is taking into account the contribution of drop fall velocity variance, which is analyzed in detail, and the inertia of drops. The calculations are done for different turbulence intensity and drop size distribution. The model is suitable for substantiation of allowable errors at EDR estimation and radar signal processing to retrieve information about turbulence intensity.","PeriodicalId":193902,"journal":{"name":"2015 Signal Processing Symposium (SPSympo)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130080452","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 : 2015-06-10DOI: 10.1109/SPS.2015.7168286
Abass A. Olaode, G. Naghdy, Catherine A. Todd
The determination of Region-of-Interest can be used as a means of improving the performance of image retrieval, when used in image annotation as a step in the indexing of images collection. It also has the potential to support efficient video compression for real-time applications. However, existing Region-of-Interest detection methods are mostly unsuitable for managing large number of images and for real-time video applications due to their high computational requirements. This paper therefore proposes an unsupervised algorithm which applies blind image division in the determination of relevant regions within an image space.
{"title":"Efficient region of interest detection using blind image division","authors":"Abass A. Olaode, G. Naghdy, Catherine A. Todd","doi":"10.1109/SPS.2015.7168286","DOIUrl":"https://doi.org/10.1109/SPS.2015.7168286","url":null,"abstract":"The determination of Region-of-Interest can be used as a means of improving the performance of image retrieval, when used in image annotation as a step in the indexing of images collection. It also has the potential to support efficient video compression for real-time applications. However, existing Region-of-Interest detection methods are mostly unsuitable for managing large number of images and for real-time video applications due to their high computational requirements. This paper therefore proposes an unsupervised algorithm which applies blind image division in the determination of relevant regions within an image space.","PeriodicalId":193902,"journal":{"name":"2015 Signal Processing Symposium (SPSympo)","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128439885","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 : 2015-06-10DOI: 10.1109/SPS.2015.7168289
I. Gorovyi, Ivan O. Smirnov
The number plate detection is a key step affecting the overall performance of the number plate recognition system. In the paper a novel algorithm for this purpose is proposed. The approach is based on the detection of text areas using the stroke width transform. More plate candidates are detected using the specifically developed image preprocessing scheme based on set of morphological operators and contour analysis. The final number plate candidates are properly classified using the neural network which is learned from the training dataset. Experiment results indicate on the high performance of the developed methodology.
{"title":"Robust number plate detector based on stroke width transform and neural network","authors":"I. Gorovyi, Ivan O. Smirnov","doi":"10.1109/SPS.2015.7168289","DOIUrl":"https://doi.org/10.1109/SPS.2015.7168289","url":null,"abstract":"The number plate detection is a key step affecting the overall performance of the number plate recognition system. In the paper a novel algorithm for this purpose is proposed. The approach is based on the detection of text areas using the stroke width transform. More plate candidates are detected using the specifically developed image preprocessing scheme based on set of morphological operators and contour analysis. The final number plate candidates are properly classified using the neural network which is learned from the training dataset. Experiment results indicate on the high performance of the developed methodology.","PeriodicalId":193902,"journal":{"name":"2015 Signal Processing Symposium (SPSympo)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126776949","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 : 2015-06-10DOI: 10.1109/SPS.2015.7168272
Francesco De Palo, G. Galati
In many radar applications, including marine, automotive and MIMO, there is a need for orthogonal transmission from different radar sets to mitigate mutual interference; the same applies to the different channels in a MIMO radar. New techniques, belonging to the cyclic algorithm family, might be used to generate orthogonal signals with, in addition, low sidelobes in their autocorrelation function in order to mitigate both interference and masking effects due to dynamic range problem. Their performance analysis is shown.
{"title":"Orthogonal waveforms for multiradar and MIMO radar using noise radar technology","authors":"Francesco De Palo, G. Galati","doi":"10.1109/SPS.2015.7168272","DOIUrl":"https://doi.org/10.1109/SPS.2015.7168272","url":null,"abstract":"In many radar applications, including marine, automotive and MIMO, there is a need for orthogonal transmission from different radar sets to mitigate mutual interference; the same applies to the different channels in a MIMO radar. New techniques, belonging to the cyclic algorithm family, might be used to generate orthogonal signals with, in addition, low sidelobes in their autocorrelation function in order to mitigate both interference and masking effects due to dynamic range problem. Their performance analysis is shown.","PeriodicalId":193902,"journal":{"name":"2015 Signal Processing Symposium (SPSympo)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121518514","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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