Pub Date : 2015-11-02DOI: 10.1109/IWSSIP.2015.7314205
Hassan Akbari, M. Shamsollahi, R. Phlypo
In this paper, we introduce a novel approach based on Tucker Decomposition and quasi-periodic nature of ECG signal for fetal ECG extraction from abdominal ECG mixture. We adapt variable periodicity constraint of the ECG components to main objective function of the Tucker Decomposition and shape it to matrix form in order to simply optimize the objective function. We form a 3rd order tensor by stacking the mixed multichannel ECG and reconstructed fetal and maternal subspaces using BSS methods in order to have the benefit of further artificial observations, and apply our proposed penalized decomposition on it. The proposed method is evaluated on synthetic and real datasets using the criteria Signal to Interference plus Noise Ratio (SINR) for fetal component considering mother component as interference. Results and evaluations show a superior SINR improvement of 1 to 4 dB compared to other state of the art methods.
{"title":"Fetal ECG extraction using πTucker decomposition","authors":"Hassan Akbari, M. Shamsollahi, R. Phlypo","doi":"10.1109/IWSSIP.2015.7314205","DOIUrl":"https://doi.org/10.1109/IWSSIP.2015.7314205","url":null,"abstract":"In this paper, we introduce a novel approach based on Tucker Decomposition and quasi-periodic nature of ECG signal for fetal ECG extraction from abdominal ECG mixture. We adapt variable periodicity constraint of the ECG components to main objective function of the Tucker Decomposition and shape it to matrix form in order to simply optimize the objective function. We form a 3rd order tensor by stacking the mixed multichannel ECG and reconstructed fetal and maternal subspaces using BSS methods in order to have the benefit of further artificial observations, and apply our proposed penalized decomposition on it. The proposed method is evaluated on synthetic and real datasets using the criteria Signal to Interference plus Noise Ratio (SINR) for fetal component considering mother component as interference. Results and evaluations show a superior SINR improvement of 1 to 4 dB compared to other state of the art methods.","PeriodicalId":249021,"journal":{"name":"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"14 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":"132346727","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.2015.7314180
Sathit Prasomphan
This research presents a novel algorithm for detecting human emotion via speech recognition by using speech spectrogram. The proposed algorithm aims to detect the emotional by using information inside the spectrogram. Neural network was used for being the classifier. A new approach to feature extraction based on analysis of two dimensions time-frequency representation of a speech signal have been presented. The algorithm was tested with EMO-Database. The experimental results show that the proposed framework can efficiently find the correct speech emotion compared to using the comparing method.
{"title":"Improvement of speech emotion recognition with neural network classifier by using speech spectrogram","authors":"Sathit Prasomphan","doi":"10.1109/IWSSIP.2015.7314180","DOIUrl":"https://doi.org/10.1109/IWSSIP.2015.7314180","url":null,"abstract":"This research presents a novel algorithm for detecting human emotion via speech recognition by using speech spectrogram. The proposed algorithm aims to detect the emotional by using information inside the spectrogram. Neural network was used for being the classifier. A new approach to feature extraction based on analysis of two dimensions time-frequency representation of a speech signal have been presented. The algorithm was tested with EMO-Database. The experimental results show that the proposed framework can efficiently find the correct speech emotion compared to using the comparing method.","PeriodicalId":249021,"journal":{"name":"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"14 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":"114754078","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.2015.7313922
I. Alexiou, T. Xiang, S. Gong
An action consists of a sequence of instantaneous motion patterns whose temporal ordering contains critical information especially for distinguishing fine-grained action categories. However, existing action recognition methods are dominated by discriminative classifiers such as kernel machines or metric learning with Bag-of-Words (BoW) action representations. They ignore the temporal structures of actions in exchange for robustness against noise. Although such temporal structures can be modelled explicitly using dynamic generative models such as Hidden Markov Models (HMMs), these generative models are designed to maximise the likelihood of the data therefore providing no guarantee on suitability for discrimination required by action recognition. In this work, a novel approach is proposed to explore the best of both worlds by discriminatively learning a generative action model. Specifically, our approach is based on discriminative Fisher kernel learning which learns a dynamic generative model so that the distance between the log-likelihood gradients induced by two actions of the same class is minimised. We demonstrate the advantages of the proposed model over the state-of-the-art action recognition methods using two challenging benchmark datasets of complex actions.
{"title":"Learning a joint discriminative-generative model for action recognition","authors":"I. Alexiou, T. Xiang, S. Gong","doi":"10.1109/IWSSIP.2015.7313922","DOIUrl":"https://doi.org/10.1109/IWSSIP.2015.7313922","url":null,"abstract":"An action consists of a sequence of instantaneous motion patterns whose temporal ordering contains critical information especially for distinguishing fine-grained action categories. However, existing action recognition methods are dominated by discriminative classifiers such as kernel machines or metric learning with Bag-of-Words (BoW) action representations. They ignore the temporal structures of actions in exchange for robustness against noise. Although such temporal structures can be modelled explicitly using dynamic generative models such as Hidden Markov Models (HMMs), these generative models are designed to maximise the likelihood of the data therefore providing no guarantee on suitability for discrimination required by action recognition. In this work, a novel approach is proposed to explore the best of both worlds by discriminatively learning a generative action model. Specifically, our approach is based on discriminative Fisher kernel learning which learns a dynamic generative model so that the distance between the log-likelihood gradients induced by two actions of the same class is minimised. We demonstrate the advantages of the proposed model over the state-of-the-art action recognition methods using two challenging benchmark datasets of complex actions.","PeriodicalId":249021,"journal":{"name":"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"224 7 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":"129893310","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.2015.7314190
M. Mustra, G. Peros, B. Zovko-Cihlar
In this paper we try to compare usage of different image processing techniques applied to mammograms. Different imaging devices produce images with different properties, which can be determined by histogram comparison. Digital imaging devices store images according to the DICOM standard, but to view images properly, images need to be processed for displaying on a desired display. Linear grayscale transformation does not provide a good solution and therefore grayscale values are being converted using look-up-tables (LUTs). Once converted for optimal displaying, images suffer from a loss of details and sometimes information which could be useful for computer-aided detection (CAD) algorithms. In this paper we will compare segmentation accuracy of the breast tissue and nipple detection accuracy when using different image preprocessing techniques.
{"title":"Comparison of segmentation accuracy for different LUTs applied to digital mammograms","authors":"M. Mustra, G. Peros, B. Zovko-Cihlar","doi":"10.1109/IWSSIP.2015.7314190","DOIUrl":"https://doi.org/10.1109/IWSSIP.2015.7314190","url":null,"abstract":"In this paper we try to compare usage of different image processing techniques applied to mammograms. Different imaging devices produce images with different properties, which can be determined by histogram comparison. Digital imaging devices store images according to the DICOM standard, but to view images properly, images need to be processed for displaying on a desired display. Linear grayscale transformation does not provide a good solution and therefore grayscale values are being converted using look-up-tables (LUTs). Once converted for optimal displaying, images suffer from a loss of details and sometimes information which could be useful for computer-aided detection (CAD) algorithms. In this paper we will compare segmentation accuracy of the breast tissue and nipple detection accuracy when using different image preprocessing techniques.","PeriodicalId":249021,"journal":{"name":"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"50 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":"132206163","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.2015.7314175
S. Schwarz, M. Mrak
Motion compensated prediction using multiple references is a key element of any modern video coding standard. A smart and meaningful selection of references contributes significantly to encoding efficiency. This selection could either be performed through computationally expensive pre-analysis and reference picture selection optimisation, or through improved reference picture list structures based on general encoder decisions. This paper analyses encoder reference picture decisions for a maximum set of available reference pictures. Characteristic encoder decision properties are identified, then two variants of the standard HEVC reference picture list structure and sorting approach are derived and implemented. Evaluation verifies that the conclusions drawn from the general encoder decisions hold. The proposed changes provide coding efficiency benefits in terms of bit rate savings of up to 6%, with a limited increase in computational complexity of around 11%.
{"title":"Improved reference picture list sorting in video coding","authors":"S. Schwarz, M. Mrak","doi":"10.1109/IWSSIP.2015.7314175","DOIUrl":"https://doi.org/10.1109/IWSSIP.2015.7314175","url":null,"abstract":"Motion compensated prediction using multiple references is a key element of any modern video coding standard. A smart and meaningful selection of references contributes significantly to encoding efficiency. This selection could either be performed through computationally expensive pre-analysis and reference picture selection optimisation, or through improved reference picture list structures based on general encoder decisions. This paper analyses encoder reference picture decisions for a maximum set of available reference pictures. Characteristic encoder decision properties are identified, then two variants of the standard HEVC reference picture list structure and sorting approach are derived and implemented. Evaluation verifies that the conclusions drawn from the general encoder decisions hold. The proposed changes provide coding efficiency benefits in terms of bit rate savings of up to 6%, with a limited increase in computational complexity of around 11%.","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":"116955676","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.2015.7314192
R. Rybarova, Gonzalo del Corral, G. Rozinaj
The paper deals with development of speech synthesizer for Spanish language within a complex modular speech synthesis system with a multilingual support. The whole concept of the system architecture is described in the paper, together with a method for the quality improvement of a synthesized speech. A short comparison of Slovak and Spanish languages is discussed from phonetic transcription point of view. The quality of the final synthesized speech based on the new Spanish synthesizer has also been tested and evaluated.
{"title":"Diphone spanish text-to-speech synthesizer","authors":"R. Rybarova, Gonzalo del Corral, G. Rozinaj","doi":"10.1109/IWSSIP.2015.7314192","DOIUrl":"https://doi.org/10.1109/IWSSIP.2015.7314192","url":null,"abstract":"The paper deals with development of speech synthesizer for Spanish language within a complex modular speech synthesis system with a multilingual support. The whole concept of the system architecture is described in the paper, together with a method for the quality improvement of a synthesized speech. A short comparison of Slovak and Spanish languages is discussed from phonetic transcription point of view. The quality of the final synthesized speech based on the new Spanish synthesizer has also been tested and evaluated.","PeriodicalId":249021,"journal":{"name":"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"62 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":"115315749","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.2015.7314178
Yohannes Biadgligne, Ognjen Arandjelovic
Digital image processing filters continue to be used widely for the normalization of illumination effects in face recognition, both in research and in practice. Their appeal stems from their simplicity, efficiency, predictable and well-understood behaviour, and importantly, lack of catastrophic failure modes. Notwithstanding this widespread use, no work to date has performed a comparative analysis of different filters in challenging, realistic conditions expected in practice - filters in previous work are either adopted in isolation or evaluated in constrained conditions unrepresentative of real-world challenges. In this paper we perform, report, and discuss a comparative evaluation of a number of popular filters on a challenging, real-world data set which contains major changes in illumination, pose (yaw and pitch), camera-user distance, image resolution, and (often neglected) camera type. Our results demonstrate that relative performances of different filters in realistic imaging conditions such as those examined in this paper are vastly different than when the same filters are evaluated in a controlled setting as in previous work. Therefore our results provide important insight for practical application of image filters and future research.
{"title":"Face filtering — Insights from real-world data","authors":"Yohannes Biadgligne, Ognjen Arandjelovic","doi":"10.1109/IWSSIP.2015.7314178","DOIUrl":"https://doi.org/10.1109/IWSSIP.2015.7314178","url":null,"abstract":"Digital image processing filters continue to be used widely for the normalization of illumination effects in face recognition, both in research and in practice. Their appeal stems from their simplicity, efficiency, predictable and well-understood behaviour, and importantly, lack of catastrophic failure modes. Notwithstanding this widespread use, no work to date has performed a comparative analysis of different filters in challenging, realistic conditions expected in practice - filters in previous work are either adopted in isolation or evaluated in constrained conditions unrepresentative of real-world challenges. In this paper we perform, report, and discuss a comparative evaluation of a number of popular filters on a challenging, real-world data set which contains major changes in illumination, pose (yaw and pitch), camera-user distance, image resolution, and (often neglected) camera type. Our results demonstrate that relative performances of different filters in realistic imaging conditions such as those examined in this paper are vastly different than when the same filters are evaluated in a controlled setting as in previous work. Therefore our results provide important insight for practical application of image filters and future research.","PeriodicalId":249021,"journal":{"name":"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"23 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":"115743465","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.2015.7314185
J. Kacur, Tibor Trnovsky, R. Vargic
The main focus of the article is on incorporating discriminative training into MASPER multilingual training procedure by some necessary modifications. Next the performance of discriminative rules like Maximal Mutual Information (MMI) and Minimal Phone Error (MPE), application of I smoothing technique, setting up convergence parameter, benefits of discriminative training for different hidden Markov models (HMM), etc. are tested and evaluated. Moreover an overview of discriminative training strategies and their relations to the classical Maximum Likelihood (ML) estimation is given. All experiments have been accomplished on Slovak part of MobilDat training database that contains wide range of noises and specific GSM distortions. Achieved results show that discriminative training if properly adjusted can improve performance over ML training on average by 5% depending on the model complexity, training strategies and deployment scenarios. Finally, MPE when properly set may outperform MMI, however it is prone to higher sensitivity to the set parameters, used models and application domain.
{"title":"Discriminative training of HMM using MASPER procedure","authors":"J. Kacur, Tibor Trnovsky, R. Vargic","doi":"10.1109/IWSSIP.2015.7314185","DOIUrl":"https://doi.org/10.1109/IWSSIP.2015.7314185","url":null,"abstract":"The main focus of the article is on incorporating discriminative training into MASPER multilingual training procedure by some necessary modifications. Next the performance of discriminative rules like Maximal Mutual Information (MMI) and Minimal Phone Error (MPE), application of I smoothing technique, setting up convergence parameter, benefits of discriminative training for different hidden Markov models (HMM), etc. are tested and evaluated. Moreover an overview of discriminative training strategies and their relations to the classical Maximum Likelihood (ML) estimation is given. All experiments have been accomplished on Slovak part of MobilDat training database that contains wide range of noises and specific GSM distortions. Achieved results show that discriminative training if properly adjusted can improve performance over ML training on average by 5% depending on the model complexity, training strategies and deployment scenarios. Finally, MPE when properly set may outperform MMI, however it is prone to higher sensitivity to the set parameters, used models and application domain.","PeriodicalId":249021,"journal":{"name":"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"9 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":"127894250","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.2015.7314221
M. Oravec, Dominik Sopiak, V. Jirka, J. Pavlovičová, Mark Budiak
Mobile devices like smartphones and tablets have become an integral part of our everyday life. These devices often store private information, which needs to be protected. To preserve this data we mainly use passwords, codes or SMS confirmation. They are easy to use, however there is always a risk of forgetting the password and also the risk of an impostor. On the other hand, there are other methods to identify a person, which overcome these threats. Biometric methods use the person itself to verify its identity. Many mobile devices like smartphones or tablets already have an implementation of biometric systems, but their usage often caused problems like shorter battery life, because of their computational complexity. Here a client-server architecture can be used, where the recognition process is divided into computational part running on the server and the acquisitional part running on the mobile device. In this paper a client-server face recognition system is presented with several clustering algorithms like k-means, self-organizing map etc. used for automatic training sample selection. The paper provides a comparative study of these algorithms and their impact on the implemented systems success rate.
{"title":"Clustering algorithms for face recognition based on client-server architecture","authors":"M. Oravec, Dominik Sopiak, V. Jirka, J. Pavlovičová, Mark Budiak","doi":"10.1109/IWSSIP.2015.7314221","DOIUrl":"https://doi.org/10.1109/IWSSIP.2015.7314221","url":null,"abstract":"Mobile devices like smartphones and tablets have become an integral part of our everyday life. These devices often store private information, which needs to be protected. To preserve this data we mainly use passwords, codes or SMS confirmation. They are easy to use, however there is always a risk of forgetting the password and also the risk of an impostor. On the other hand, there are other methods to identify a person, which overcome these threats. Biometric methods use the person itself to verify its identity. Many mobile devices like smartphones or tablets already have an implementation of biometric systems, but their usage often caused problems like shorter battery life, because of their computational complexity. Here a client-server architecture can be used, where the recognition process is divided into computational part running on the server and the acquisitional part running on the mobile device. In this paper a client-server face recognition system is presented with several clustering algorithms like k-means, self-organizing map etc. used for automatic training sample selection. The paper provides a comparative study of these algorithms and their impact on the implemented systems success rate.","PeriodicalId":249021,"journal":{"name":"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"111 10 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":"122633968","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.2015.7313929
J. Toth, M. Tatarko, Ľ. Ovseník, J. Turán
This paper deals with Free Space Optics (FSO) systems. Availability and reliability of FSO is taken under the scope. FSO links transmit data within the infrared wavelength region. Lasers are used to create medium to carry informational stream. FSO systems need Line of Sight (LOS) technology in order to maintain connection between two points. Weather conditions have quite significant impact on FSO operation in terms of availability and reliability because of free space transmission. It is necessary to evaluate the air quality at the actual geographical location where FSO link is located. It is important to determine the impact of a light scattering, absorption, turbulence and receiving power at the particular FSO link. Visibility has one of the most critical impacts on the quality of an optical transmission channel. Moreover, it is very helpful to monitor and store the information about rain, snow and fog values. This paper introduces a device which measures all mentioned weather indicators such as a fog density, a relative humidity and the temperature. FSO availability and reliability estimation is made from measured data. These results evaluate weather conditions for Kosice, Slovakia in term of FSO operation.
{"title":"Long term availability analysis of experimental free space optics system","authors":"J. Toth, M. Tatarko, Ľ. Ovseník, J. Turán","doi":"10.1109/IWSSIP.2015.7313929","DOIUrl":"https://doi.org/10.1109/IWSSIP.2015.7313929","url":null,"abstract":"This paper deals with Free Space Optics (FSO) systems. Availability and reliability of FSO is taken under the scope. FSO links transmit data within the infrared wavelength region. Lasers are used to create medium to carry informational stream. FSO systems need Line of Sight (LOS) technology in order to maintain connection between two points. Weather conditions have quite significant impact on FSO operation in terms of availability and reliability because of free space transmission. It is necessary to evaluate the air quality at the actual geographical location where FSO link is located. It is important to determine the impact of a light scattering, absorption, turbulence and receiving power at the particular FSO link. Visibility has one of the most critical impacts on the quality of an optical transmission channel. Moreover, it is very helpful to monitor and store the information about rain, snow and fog values. This paper introduces a device which measures all mentioned weather indicators such as a fog density, a relative humidity and the temperature. FSO availability and reliability estimation is made from measured data. These results evaluate weather conditions for Kosice, Slovakia in term of FSO operation.","PeriodicalId":249021,"journal":{"name":"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"66 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":"131927149","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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