Pub Date : 2015-11-02DOI: 10.1109/IWSSIP.2015.7314240
A. Chelmuș
The purpose of this paper is to present the data obtained during a GPR investigation taken inside a 300 year old Romanian church. The local legends say that underneath the church there is a buried treasure. The data refuted the existence of any treasure, but the radargrams revealed some disruptions in the electromagnetic waves propagation that identify three zones of interest. A part of this results will be presented using three methods of data processing.
{"title":"Ground penetrating radar survey inside a historical monument","authors":"A. Chelmuș","doi":"10.1109/IWSSIP.2015.7314240","DOIUrl":"https://doi.org/10.1109/IWSSIP.2015.7314240","url":null,"abstract":"The purpose of this paper is to present the data obtained during a GPR investigation taken inside a 300 year old Romanian church. The local legends say that underneath the church there is a buried treasure. The data refuted the existence of any treasure, but the radargrams revealed some disruptions in the electromagnetic waves propagation that identify three zones of interest. A part of this results will be presented using three methods of data processing.","PeriodicalId":249021,"journal":{"name":"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124995392","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 : 2015-11-02DOI: 10.1109/IWSSIP.2015.7314220
Zhe Wang, S. Simon, Y. Baroud, Seyyed Mahdi Najmabadi
A visually lossless image encoding extension for JPEG is presented. Such extension enables an efficient implementation of perceptual coding by reusing existing widespread software libraries and hardware IP cores for JPEG. For any pixel in a decoded image, the proposed algorithm guarantees a maximum distortion bounded by the just-noticeable distortion (JND) threshold measured based on the input image. Perceptual coding is performed in three steps: (1) standard transform domain coding, (2) spatial domain distortion visibility analysis by JND model and (3) spatial domain residual coding. Such scheme has been implemented in this work as an extension for JPEG based on a low complexity JND model. The encoder determines if a pixel block in a standard JPEG output image contains distortions beyond the visibility threshold given by the JND model. If it is true then the locations and the values of such distortions are encoded as side information. Quantization step size for the distortion values, i.e. perceptual residuals, are chosen based on the visibility threshold. Experimental results show that in terms of compression efficiency, the proposed perceptual encoding extension outperforms the standard JPEG encoder by 50% for a visually lossless compression of images.
{"title":"Visually lossless image compression extension for JPEG based on just-noticeable distortion evaluation","authors":"Zhe Wang, S. Simon, Y. Baroud, Seyyed Mahdi Najmabadi","doi":"10.1109/IWSSIP.2015.7314220","DOIUrl":"https://doi.org/10.1109/IWSSIP.2015.7314220","url":null,"abstract":"A visually lossless image encoding extension for JPEG is presented. Such extension enables an efficient implementation of perceptual coding by reusing existing widespread software libraries and hardware IP cores for JPEG. For any pixel in a decoded image, the proposed algorithm guarantees a maximum distortion bounded by the just-noticeable distortion (JND) threshold measured based on the input image. Perceptual coding is performed in three steps: (1) standard transform domain coding, (2) spatial domain distortion visibility analysis by JND model and (3) spatial domain residual coding. Such scheme has been implemented in this work as an extension for JPEG based on a low complexity JND model. The encoder determines if a pixel block in a standard JPEG output image contains distortions beyond the visibility threshold given by the JND model. If it is true then the locations and the values of such distortions are encoded as side information. Quantization step size for the distortion values, i.e. perceptual residuals, are chosen based on the visibility threshold. Experimental results show that in terms of compression efficiency, the proposed perceptual encoding extension outperforms the standard JPEG encoder by 50% for a visually lossless compression of images.","PeriodicalId":249021,"journal":{"name":"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116066757","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 : 2015-11-02DOI: 10.1109/IWSSIP.2015.7313930
Tomasz Grzywalski, R. Stasinski
In the paper results of an subjective image quality assessment experiment based on Internet poll are used for testing six automatic image quality assessment methods. It is shown that while the methods deal fairly well with global distortions, they usually fail in score evaluation for local and geometric deformations. On the other hand, visibility of local and geometric distortions depends on image content, which is not taken into account when defining objective quality assessment methods.
{"title":"Test of six image quality assessment methods","authors":"Tomasz Grzywalski, R. Stasinski","doi":"10.1109/IWSSIP.2015.7313930","DOIUrl":"https://doi.org/10.1109/IWSSIP.2015.7313930","url":null,"abstract":"In the paper results of an subjective image quality assessment experiment based on Internet poll are used for testing six automatic image quality assessment methods. It is shown that while the methods deal fairly well with global distortions, they usually fail in score evaluation for local and geometric deformations. On the other hand, visibility of local and geometric distortions depends on image content, which is not taken into account when defining objective quality assessment methods.","PeriodicalId":249021,"journal":{"name":"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122036606","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 : 2015-11-02DOI: 10.1109/IWSSIP.2015.7314219
N. Skaljo, A. Begovic, N. Behlilovic
This paper continues already done research on the possibility for implementation and new test scenarios application for the problems detection in IPTV services delivered over DSL lines. Compared to the previous paper which research it continues, this paper provides a few specific examples of DSL lines in which, based on the values of physical layer parameters, we can assume with great certainty the real cause or a number of possible causes of problems in the IPTV service function. In this way the efficient elimination of identified problems is enabled.
{"title":"An efficient troubleshooting testing scenario for IPTV over DSL lines: Practical examples","authors":"N. Skaljo, A. Begovic, N. Behlilovic","doi":"10.1109/IWSSIP.2015.7314219","DOIUrl":"https://doi.org/10.1109/IWSSIP.2015.7314219","url":null,"abstract":"This paper continues already done research on the possibility for implementation and new test scenarios application for the problems detection in IPTV services delivered over DSL lines. Compared to the previous paper which research it continues, this paper provides a few specific examples of DSL lines in which, based on the values of physical layer parameters, we can assume with great certainty the real cause or a number of possible causes of problems in the IPTV service function. In this way the efficient elimination of identified problems is enabled.","PeriodicalId":249021,"journal":{"name":"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"354 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132524666","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 : 2015-11-02DOI: 10.1109/IWSSIP.2015.7314215
Pawel Gardzinski, Krzysztof Kowalak, Lukasz Kaminski, S. Mackowiak
In this paper, a novel crowd density estimation method based on voxel modeling in multi-view surveillance systems is presented. The approach proposed in this paper is based on human silhouette modeling with an anthropometric cylinder. The performance of crowd density estimation was analyzed on two multi-view sequences datasets. For this propose PETS 2006 and PETS 2009 were used. Performance of the proposed approach has been evaluated for two metrics: people counting and crowd classification.
{"title":"Crowd density estimation based on voxel model in multi-view surveillance systems","authors":"Pawel Gardzinski, Krzysztof Kowalak, Lukasz Kaminski, S. Mackowiak","doi":"10.1109/IWSSIP.2015.7314215","DOIUrl":"https://doi.org/10.1109/IWSSIP.2015.7314215","url":null,"abstract":"In this paper, a novel crowd density estimation method based on voxel modeling in multi-view surveillance systems is presented. The approach proposed in this paper is based on human silhouette modeling with an anthropometric cylinder. The performance of crowd density estimation was analyzed on two multi-view sequences datasets. For this propose PETS 2006 and PETS 2009 were used. Performance of the proposed approach has been evaluated for two metrics: people counting and crowd classification.","PeriodicalId":249021,"journal":{"name":"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131228175","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 : 2015-11-02DOI: 10.1109/IWSSIP.2015.7314232
K. Gkoktsi, B. Tausiesakul, A. Giaralis
Operational modal analysis (OMA) is a widely used construction verification and structural health monitoring technique aiming to obtain the modal properties of vibrating civil engineering structures subject to ambient dynamic loads by collecting and processing structural response acceleration signals. Motivated by the need for cost-efficient OMA using wireless sensor networks which acquire and transmit measurements at a lower than the Nyquist rate, a novel OMA approach is put forth to derive modal properties directly from sub-Nyquist sampled (compressed) acceleration measurements from arrays of sensors. This is achieved by adopting sub-Nyquist deterministic non-uniform multi-coset sampling devices and by extending a previously proposed in the literature power spectrum blind sampling method for single-channel spectral estimation of stochastic processes to treat the case of multiple channel cross-spectral estimation. The standard frequency domain decomposition is used to obtain the modal properties from the cross-spectral matrix derived directly from the sub-Nyquist measurements. The applicability and efficiency of the proposed approach is exemplified by retrieving mode shapes of a white-noise excited simply supported steel beam with good accuracy according to the widely used modal assurance criterion using 70% less than the Nyquist rate measurements.
{"title":"Multi-channel sub-Nyquist cross-spectral estimation for modal analysis of vibrating structures","authors":"K. Gkoktsi, B. Tausiesakul, A. Giaralis","doi":"10.1109/IWSSIP.2015.7314232","DOIUrl":"https://doi.org/10.1109/IWSSIP.2015.7314232","url":null,"abstract":"Operational modal analysis (OMA) is a widely used construction verification and structural health monitoring technique aiming to obtain the modal properties of vibrating civil engineering structures subject to ambient dynamic loads by collecting and processing structural response acceleration signals. Motivated by the need for cost-efficient OMA using wireless sensor networks which acquire and transmit measurements at a lower than the Nyquist rate, a novel OMA approach is put forth to derive modal properties directly from sub-Nyquist sampled (compressed) acceleration measurements from arrays of sensors. This is achieved by adopting sub-Nyquist deterministic non-uniform multi-coset sampling devices and by extending a previously proposed in the literature power spectrum blind sampling method for single-channel spectral estimation of stochastic processes to treat the case of multiple channel cross-spectral estimation. The standard frequency domain decomposition is used to obtain the modal properties from the cross-spectral matrix derived directly from the sub-Nyquist measurements. The applicability and efficiency of the proposed approach is exemplified by retrieving mode shapes of a white-noise excited simply supported steel beam with good accuracy according to the widely used modal assurance criterion using 70% less than the Nyquist rate measurements.","PeriodicalId":249021,"journal":{"name":"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132721516","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 : 2015-11-02DOI: 10.1109/IWSSIP.2015.7314199
D. Gleich, M. Malajner, P. Planinsic
This paper presents localization using two transmitters, which transmit two signals, different in frequency. A single receiver is used to extract information from received signal. By using simple computations it is possible to extract phase information, which provides information regarding Time Difference of Arrival (TDOA). This paper presents a phase information extraction using compressive sampling from the received signal and minimization of cost function, which provided more accurate results compared to the minimum mean squared estimation. In this paper variable splitting using augmented Lagrange was used to replace two minimum mean square estimations for phase information extraction. The proposed method provided localization results, which are more accurate. The dual tone radio is implemented using Universal Software Radio Peripheral.
{"title":"Target localization using dual tone frequency radio","authors":"D. Gleich, M. Malajner, P. Planinsic","doi":"10.1109/IWSSIP.2015.7314199","DOIUrl":"https://doi.org/10.1109/IWSSIP.2015.7314199","url":null,"abstract":"This paper presents localization using two transmitters, which transmit two signals, different in frequency. A single receiver is used to extract information from received signal. By using simple computations it is possible to extract phase information, which provides information regarding Time Difference of Arrival (TDOA). This paper presents a phase information extraction using compressive sampling from the received signal and minimization of cost function, which provided more accurate results compared to the minimum mean squared estimation. In this paper variable splitting using augmented Lagrange was used to replace two minimum mean square estimations for phase information extraction. The proposed method provided localization results, which are more accurate. The dual tone radio is implemented using Universal Software Radio Peripheral.","PeriodicalId":249021,"journal":{"name":"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127862901","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 : 2015-11-02DOI: 10.1109/IWSSIP.2015.7314218
A. Aljaaf, D. Al-Jumeily, A. Hussain, P. Fergus, M. Al-Jumaily, Naeem Radi
Machine-learning (ML) techniques have grown to be among the leading research topics within the health care systems and particularly for clinical decision support systems (CDSS), which are commonly used in helping physicians to make more accurate diagnosis. However, applying these techniques for CDSS is most likely would face a lack of criteria for adequate use. Therefore, a range of recent studies have focused on evaluating different machine learning classifiers with the aim of identifying the most appropriate classifier to be used for particular decision making problem-domain. The majority of these studies have used a single dataset within a certain medical-related classification domain. Nevertheless, evaluating machine-learning classifiers with one sample of data appears to be unsatisfying, perhaps it is not reflecting the classifiers capabilities or their behavioral patterns under different circumstances. In this study, five well-known supervised machine-learning classifiers were examined using five different real-world datasets with a range of attributes. The main aim was to illustrate not only the impact of the datasets volume and attributes on the evaluation, but also and more importantly, present the classifiers capabilities and shortcomings under certain conditions, which potentially provide a guidance or instructions to help health analysts and researchers to determine the most suitable classifier to address a particular medical-related decision making problem.
{"title":"Applied machine learning classifiers for medical applications: Clarifying the behavioural patterns using a variety of datasets","authors":"A. Aljaaf, D. Al-Jumeily, A. Hussain, P. Fergus, M. Al-Jumaily, Naeem Radi","doi":"10.1109/IWSSIP.2015.7314218","DOIUrl":"https://doi.org/10.1109/IWSSIP.2015.7314218","url":null,"abstract":"Machine-learning (ML) techniques have grown to be among the leading research topics within the health care systems and particularly for clinical decision support systems (CDSS), which are commonly used in helping physicians to make more accurate diagnosis. However, applying these techniques for CDSS is most likely would face a lack of criteria for adequate use. Therefore, a range of recent studies have focused on evaluating different machine learning classifiers with the aim of identifying the most appropriate classifier to be used for particular decision making problem-domain. The majority of these studies have used a single dataset within a certain medical-related classification domain. Nevertheless, evaluating machine-learning classifiers with one sample of data appears to be unsatisfying, perhaps it is not reflecting the classifiers capabilities or their behavioral patterns under different circumstances. In this study, five well-known supervised machine-learning classifiers were examined using five different real-world datasets with a range of attributes. The main aim was to illustrate not only the impact of the datasets volume and attributes on the evaluation, but also and more importantly, present the classifiers capabilities and shortcomings under certain conditions, which potentially provide a guidance or instructions to help health analysts and researchers to determine the most suitable classifier to address a particular medical-related decision making problem.","PeriodicalId":249021,"journal":{"name":"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115677497","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 : 2015-11-02DOI: 10.1109/IWSSIP.2015.7314188
Mohammed Khalaf, A. Hussain, D. Al-Jumeily, P. Fergus, I. Idowu
Floods are common natural disasters that cause severe devastation of any country. They are commonly caused by precipitation and runoff of rivers, particularly during periods of excessively high rainy season. Due to global warming issues and extreme environmental effects, flood has become a serious problem to the extent of bringing about negative impact to the mankind and infrastructure. To date, sensor network technology has been used in many areas including water level fluctuation. However, efficient flood monitoring and real time notification system still a crucial part because Information Technology enabled applications have not been employed in this sector in a broad way. This research presents a description of an alert generating system for flood detection with a focus on determining the current water level using sensors technology. The system then provides notification message about water level sensitivity via Global Communication and Mobile System modem to particular authorise person. Besides the Short Message Service, the system instantaneously uploads and broadcast information through web base public network. Machine-learning algorithms were conducted to perform the classification process. Four experiments were carried out to classify flood data from normal and at risk condition in which 99.5% classification accuracy was achieved using Random Forest algorithm. Classification using Bagging, Decision Tree and HyperPipes algorithms achieved accuracy of 97.7 %, 94.6% and 89.8 %, respectively.
{"title":"Advance flood detection and notification system based on sensor technology and machine learning algorithm","authors":"Mohammed Khalaf, A. Hussain, D. Al-Jumeily, P. Fergus, I. Idowu","doi":"10.1109/IWSSIP.2015.7314188","DOIUrl":"https://doi.org/10.1109/IWSSIP.2015.7314188","url":null,"abstract":"Floods are common natural disasters that cause severe devastation of any country. They are commonly caused by precipitation and runoff of rivers, particularly during periods of excessively high rainy season. Due to global warming issues and extreme environmental effects, flood has become a serious problem to the extent of bringing about negative impact to the mankind and infrastructure. To date, sensor network technology has been used in many areas including water level fluctuation. However, efficient flood monitoring and real time notification system still a crucial part because Information Technology enabled applications have not been employed in this sector in a broad way. This research presents a description of an alert generating system for flood detection with a focus on determining the current water level using sensors technology. The system then provides notification message about water level sensitivity via Global Communication and Mobile System modem to particular authorise person. Besides the Short Message Service, the system instantaneously uploads and broadcast information through web base public network. Machine-learning algorithms were conducted to perform the classification process. Four experiments were carried out to classify flood data from normal and at risk condition in which 99.5% classification accuracy was achieved using Random Forest algorithm. Classification using Bagging, Decision Tree and HyperPipes algorithms achieved accuracy of 97.7 %, 94.6% and 89.8 %, respectively.","PeriodicalId":249021,"journal":{"name":"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128198001","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 : 2015-11-02DOI: 10.1109/IWSSIP.2015.7313927
Illia Safiulin, Stefan Schwarz, M. Rupp
In this paper, the performance of Multicast-Broadcast Single-Frequency Networks (MBSFN) that are exposed to inter-carrier interference is investigated. LTE-MBSFN is considered as one important approach to support vehicular safety services through point-to-multipoint transmissions. However in networks with high mobility users, user movement and multi-path propagation cause Doppler spreading and excess delay of the received signal. Our focus lies on the implementation and verification of abstraction models for inter-carrier interference (ICI) in this context. We model ICI as additional Gaussian noise that is added at the receiver. The increment in noise power is determined by the user velocity, affecting the Doppler spread of the signal. The proposed abstraction can be applied to investigate the efficiency of the MBSFN networks with respect to user speed and operational frequency of the transmitted signals.
{"title":"System level simulation of LTE MBSFN networks with high mobility users","authors":"Illia Safiulin, Stefan Schwarz, M. Rupp","doi":"10.1109/IWSSIP.2015.7313927","DOIUrl":"https://doi.org/10.1109/IWSSIP.2015.7313927","url":null,"abstract":"In this paper, the performance of Multicast-Broadcast Single-Frequency Networks (MBSFN) that are exposed to inter-carrier interference is investigated. LTE-MBSFN is considered as one important approach to support vehicular safety services through point-to-multipoint transmissions. However in networks with high mobility users, user movement and multi-path propagation cause Doppler spreading and excess delay of the received signal. Our focus lies on the implementation and verification of abstraction models for inter-carrier interference (ICI) in this context. We model ICI as additional Gaussian noise that is added at the receiver. The increment in noise power is determined by the user velocity, affecting the Doppler spread of the signal. The proposed abstraction can be applied to investigate the efficiency of the MBSFN networks with respect to user speed and operational frequency of the transmitted signals.","PeriodicalId":249021,"journal":{"name":"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133430267","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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