Pub Date : 2020-06-01DOI: 10.1109/ISSC49989.2020.9180191
Saad Abbas, J. Condell, P. Gardiner, Michael McCann, S. Todd, J. Connolly
The symptoms of (PD) often begins on one side of the body before separating bilaterally. Early symptoms of PD are rest tremors, bradykinesia and rigidity. Common signs are a decrease in arm swing, shuffling foot movement and slowness arising from a chair. Rigidity of muscles commonly affects a patient limbs, neck and shoulder PD is currently diagnosed after the neuro degenerative process has started. To optimize and improve PD quality of care, it should be diagnosed early in its onset once symptoms are not yet evident. The current gold standard for patient assessment of PD is the completion of symptom diaries. These diaries are subjective and usually do not accurately reflect what is taking place throughout the day. It is exceedingly difficult for an untrained observer such as family members to provide accurate description of movement characteristic in PD. An alternative way to exercise the abnormal movement in PD is to use a wearable technology system which could aid early detection of the disease and help clinicians manage medication when symptoms fluctuate throughout the day. This paper will evaluate the effectiveness of a wearable multi-sensor kinematic system capable of detecting the tell-tale signs of PD when performing tailored exercise routines. Each exercise routine will examine movement for potential PD symptoms and report finding for deeper clinician analysis.
{"title":"Can multiple wearable sensors be used to detect the early onset of Parkinson's Disease?","authors":"Saad Abbas, J. Condell, P. Gardiner, Michael McCann, S. Todd, J. Connolly","doi":"10.1109/ISSC49989.2020.9180191","DOIUrl":"https://doi.org/10.1109/ISSC49989.2020.9180191","url":null,"abstract":"The symptoms of (PD) often begins on one side of the body before separating bilaterally. Early symptoms of PD are rest tremors, bradykinesia and rigidity. Common signs are a decrease in arm swing, shuffling foot movement and slowness arising from a chair. Rigidity of muscles commonly affects a patient limbs, neck and shoulder PD is currently diagnosed after the neuro degenerative process has started. To optimize and improve PD quality of care, it should be diagnosed early in its onset once symptoms are not yet evident. The current gold standard for patient assessment of PD is the completion of symptom diaries. These diaries are subjective and usually do not accurately reflect what is taking place throughout the day. It is exceedingly difficult for an untrained observer such as family members to provide accurate description of movement characteristic in PD. An alternative way to exercise the abnormal movement in PD is to use a wearable technology system which could aid early detection of the disease and help clinicians manage medication when symptoms fluctuate throughout the day. This paper will evaluate the effectiveness of a wearable multi-sensor kinematic system capable of detecting the tell-tale signs of PD when performing tailored exercise routines. Each exercise routine will examine movement for potential PD symptoms and report finding for deeper clinician analysis.","PeriodicalId":351013,"journal":{"name":"2020 31st Irish Signals and Systems Conference (ISSC)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115743642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-06-01DOI: 10.1109/issc49989.2020.9180167
Ruth G. Lennon, Eoghan Furey, Juanita Blue
The ISSC2020 has taken the direction of focusing on the evolving nature of signals connecting Humans, Signals, Systems and the ever increasing role of the internet in connecting peripheral devices. The conference theme aims to reflect these advancements by focusing on interconnectivity between all components, including everything from people to machines. Amelioration of AI and SMART technologies and the emergence of disruptive technologies make 2020 an exciting time to be involved in research. This is reflected greatly in the plenary talks discussed here. Indeed it is the increased depth of consideration of how and when we use data that has provided enhanced systems that inconnect our world.
{"title":"Signals & Systems: Clever Connections","authors":"Ruth G. Lennon, Eoghan Furey, Juanita Blue","doi":"10.1109/issc49989.2020.9180167","DOIUrl":"https://doi.org/10.1109/issc49989.2020.9180167","url":null,"abstract":"The ISSC2020 has taken the direction of focusing on the evolving nature of signals connecting Humans, Signals, Systems and the ever increasing role of the internet in connecting peripheral devices. The conference theme aims to reflect these advancements by focusing on interconnectivity between all components, including everything from people to machines. Amelioration of AI and SMART technologies and the emergence of disruptive technologies make 2020 an exciting time to be involved in research. This is reflected greatly in the plenary talks discussed here. Indeed it is the increased depth of consideration of how and when we use data that has provided enhanced systems that inconnect our world.","PeriodicalId":351013,"journal":{"name":"2020 31st Irish Signals and Systems Conference (ISSC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123638333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-06-01DOI: 10.1109/ISSC49989.2020.9180162
Marinus Toman, Eoghan Furey, K. Curran
Infrastructure-free Indoor Positioning Systems (IPS) are a relatively new advancement in the indoor localisation area. Traditionally, IPS's require a certain amount of dedicated infrastructure within a building to position a device accurately. There are now companies offering infrastructure-free IPS that claim they can obtain sub-metre accuracy. Some IPS's also claim to use geomagnetic positioning to achieve this accuracy. The aim here is to investigate the accuracy of an infrastructure-free IPS which offers geomagnetic positioning techniques. We explain its accuracy, what may negatively affect the accuracy of the system and to what extent are geomagnetic positioning techniques being used. An Android mobile application was developed with the primary purpose of investigating the accuracy of the IPS under various conditions. We found that the IPS at the beginning was three times more accurate than GPS and ten times more accurate at the end. The IPS was more responsive and more accurate on a device that had a magnetometer but accuracy dropped considerably when the internet connection is lost. Also, wet weather specifically impacted negatively on the accuracy.
{"title":"Real-World Efficacy of an Infrastructure-Free Geomagnetic Indoor Positioning System","authors":"Marinus Toman, Eoghan Furey, K. Curran","doi":"10.1109/ISSC49989.2020.9180162","DOIUrl":"https://doi.org/10.1109/ISSC49989.2020.9180162","url":null,"abstract":"Infrastructure-free Indoor Positioning Systems (IPS) are a relatively new advancement in the indoor localisation area. Traditionally, IPS's require a certain amount of dedicated infrastructure within a building to position a device accurately. There are now companies offering infrastructure-free IPS that claim they can obtain sub-metre accuracy. Some IPS's also claim to use geomagnetic positioning to achieve this accuracy. The aim here is to investigate the accuracy of an infrastructure-free IPS which offers geomagnetic positioning techniques. We explain its accuracy, what may negatively affect the accuracy of the system and to what extent are geomagnetic positioning techniques being used. An Android mobile application was developed with the primary purpose of investigating the accuracy of the IPS under various conditions. We found that the IPS at the beginning was three times more accurate than GPS and ten times more accurate at the end. The IPS was more responsive and more accurate on a device that had a magnetometer but accuracy dropped considerably when the internet connection is lost. Also, wet weather specifically impacted negatively on the accuracy.","PeriodicalId":351013,"journal":{"name":"2020 31st Irish Signals and Systems Conference (ISSC)","volume":"120 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126304775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-06-01DOI: 10.1109/ISSC49989.2020.9180219
Stephen O'Hurley, Le-Nam Tran
In this paper, three types of linear receiver for the uplink of cell-free massive multiple-input-multiple-output (MIMO) will be studied to gain a clear comparison and understanding of their performance. In a cell-free massive MIMO system, a large number of randomly distributed access points (APs) cooperate to serve a much smaller number of users in the same time-frequency resource. The three receivers of interest are matched-filter (MF) combining, full-pilot zero forcing (fpZF) combining and the local-minimum-mean-squared error (L-MMSE) combining. The APs use locally obtained channel state information to perform the combining. Max-min fairness power control is utilised for the MF and fpZF combining to ensure uniformly good service for all users in the system. We note that max-min fairness power control is not required for the L-MMSE combining since the L-MMSE scheme itself can provide the worst served users with the same spectral efficiency as the MF with max-min fairness. In this paper an AP selection scheme is proposed for the fpZF combining. In particular, the proposed AP selection scheme provides users with reasonably good spectral efficiency using a subset of APs rather than all APs serving all users, which proves to increase the overall energy efficiency of the system. The results show that the fpZF consistently outperforms the MF and L-MMSE even while using only a subset of the APs.
{"title":"A Comparison of the Uplink Performance of Cell-Free Massive MIMO using Three Linear Combining Schemes: Full-Pilot Zero Forcing with Access Point Selection, Matched-Filter and Local-Minimum-Mean-Square Error","authors":"Stephen O'Hurley, Le-Nam Tran","doi":"10.1109/ISSC49989.2020.9180219","DOIUrl":"https://doi.org/10.1109/ISSC49989.2020.9180219","url":null,"abstract":"In this paper, three types of linear receiver for the uplink of cell-free massive multiple-input-multiple-output (MIMO) will be studied to gain a clear comparison and understanding of their performance. In a cell-free massive MIMO system, a large number of randomly distributed access points (APs) cooperate to serve a much smaller number of users in the same time-frequency resource. The three receivers of interest are matched-filter (MF) combining, full-pilot zero forcing (fpZF) combining and the local-minimum-mean-squared error (L-MMSE) combining. The APs use locally obtained channel state information to perform the combining. Max-min fairness power control is utilised for the MF and fpZF combining to ensure uniformly good service for all users in the system. We note that max-min fairness power control is not required for the L-MMSE combining since the L-MMSE scheme itself can provide the worst served users with the same spectral efficiency as the MF with max-min fairness. In this paper an AP selection scheme is proposed for the fpZF combining. In particular, the proposed AP selection scheme provides users with reasonably good spectral efficiency using a subset of APs rather than all APs serving all users, which proves to increase the overall energy efficiency of the system. The results show that the fpZF consistently outperforms the MF and L-MMSE even while using only a subset of the APs.","PeriodicalId":351013,"journal":{"name":"2020 31st Irish Signals and Systems Conference (ISSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125802606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-06-01DOI: 10.1109/ISSC49989.2020.9180186
De Jong Yeong, John Barry, Joseph Walsh
Industry 4.0 or fourth industrial revolution elevates the computerization of Industry 3.0 and enhances it with smart and autonomous systems driven by data and Machine Learning. This paper reviews the advantages and disadvantages of sensors and the architecture of multi-sensor setup for object detection. Here we consider the case of autonomous systems in for large heavy vehicles off-road in industrial environments with the use of camera sensor, LiDAR sensor, and radar sensor. Understanding the vehicles surroundings is a vital task in autonomous operation where personnel and other obstacles present significant hazard of collision. This paper review further discusses the challenges of time synchronisation on sensor data acquisition in multi-modal sensor fusion for personnel and object detection, and details a solution implemented in a Python environment.
{"title":"A Review of Multi-Sensor Fusion System for Large Heavy Vehicles Off Road in Industrial Environments","authors":"De Jong Yeong, John Barry, Joseph Walsh","doi":"10.1109/ISSC49989.2020.9180186","DOIUrl":"https://doi.org/10.1109/ISSC49989.2020.9180186","url":null,"abstract":"Industry 4.0 or fourth industrial revolution elevates the computerization of Industry 3.0 and enhances it with smart and autonomous systems driven by data and Machine Learning. This paper reviews the advantages and disadvantages of sensors and the architecture of multi-sensor setup for object detection. Here we consider the case of autonomous systems in for large heavy vehicles off-road in industrial environments with the use of camera sensor, LiDAR sensor, and radar sensor. Understanding the vehicles surroundings is a vital task in autonomous operation where personnel and other obstacles present significant hazard of collision. This paper review further discusses the challenges of time synchronisation on sensor data acquisition in multi-modal sensor fusion for personnel and object detection, and details a solution implemented in a Python environment.","PeriodicalId":351013,"journal":{"name":"2020 31st Irish Signals and Systems Conference (ISSC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131748763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-06-01DOI: 10.1109/ISSC49989.2020.9180213
N. Akhtar, Mairead Feeney
This body of work aims to collect and analyse data from previous studies completed on technological interventions (to aid autism related deficits such as social behaviour, communication and limited interest and actions that are both distinct and repetitive) [1] for people with Autism and a build machine learning model for predicting the most suitable intervention technology for a single or combination of deficits related to Autism. The author selected and collected all relevant data from current available studies. This data was used to build and train supervised classification machine learning model to predict the most suitable intervention technology for a single or combination of deficits related to autism based on deficits presented by an individual. Results indicated that machine learning is an effective tool for building a predictive model to recommend the most effective intervention technology for Autism related deficits based on data integrated from the studies. The outcomes have implications for medical professionals, caregivers, teachers and family members in effectively selecting technological intervention for autism related deficits. These interventions could help the individual better cope with their disability and potentially lessen its impact.
{"title":"Predictive analytics using a Machine Learning Model to recommend the most suitable Intervention Technology for Autism related deficits","authors":"N. Akhtar, Mairead Feeney","doi":"10.1109/ISSC49989.2020.9180213","DOIUrl":"https://doi.org/10.1109/ISSC49989.2020.9180213","url":null,"abstract":"This body of work aims to collect and analyse data from previous studies completed on technological interventions (to aid autism related deficits such as social behaviour, communication and limited interest and actions that are both distinct and repetitive) [1] for people with Autism and a build machine learning model for predicting the most suitable intervention technology for a single or combination of deficits related to Autism. The author selected and collected all relevant data from current available studies. This data was used to build and train supervised classification machine learning model to predict the most suitable intervention technology for a single or combination of deficits related to autism based on deficits presented by an individual. Results indicated that machine learning is an effective tool for building a predictive model to recommend the most effective intervention technology for Autism related deficits based on data integrated from the studies. The outcomes have implications for medical professionals, caregivers, teachers and family members in effectively selecting technological intervention for autism related deficits. These interventions could help the individual better cope with their disability and potentially lessen its impact.","PeriodicalId":351013,"journal":{"name":"2020 31st Irish Signals and Systems Conference (ISSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130905417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-06-01DOI: 10.1109/ISSC49989.2020.9180206
Vanya Tiwari, Ruth G. Lennon, Thomas Dowling
This paper considers establishing if a news article is true or if it has been faked. To achieve the task accurately, the work compares different machine learning classification algorithm with the different feature extraction methods. The algorithm with the feature extraction method giving the highest accuracy is then used for future prediction of the labels of news headlines. In this work the algorithm show to have the highest accuracy was logistic regression with 71% percent accuracy when used with tf-idf feature extraction method.
{"title":"Not Everything You Read Is True! Fake News Detection using Machine learning Algorithms","authors":"Vanya Tiwari, Ruth G. Lennon, Thomas Dowling","doi":"10.1109/ISSC49989.2020.9180206","DOIUrl":"https://doi.org/10.1109/ISSC49989.2020.9180206","url":null,"abstract":"This paper considers establishing if a news article is true or if it has been faked. To achieve the task accurately, the work compares different machine learning classification algorithm with the different feature extraction methods. The algorithm with the feature extraction method giving the highest accuracy is then used for future prediction of the labels of news headlines. In this work the algorithm show to have the highest accuracy was logistic regression with 71% percent accuracy when used with tf-idf feature extraction method.","PeriodicalId":351013,"journal":{"name":"2020 31st Irish Signals and Systems Conference (ISSC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114814216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-06-01DOI: 10.1109/ISSC49989.2020.9180212
Jin Xu, M. Davis, Ruairí de Fréin
This paper introduces a new time-resolved spectral analysis method based on the Linear Prediction Coding (LPC) method that is particularly suited to the study of the dynamics of low Signal-to-noise Ratio (SNR) signals comprising multiple frequency components. One of the challenges of the time-resolved spectral method is that they are limited by the Heisenberg-Gabor uncertainty principle. Consequently, there is a trade-off between the temporal and spectral resolution. Most of the previous studies are time-averaged methods. The proposed method is a parameterisation method which can directly extract the dominant formants. The method is based on a z-plane analysis of the poles of the LPC filter which allows us to identify and to accurately estimate the frequency of the dominant spectral features. We demonstrate how this method can be used to track the temporal variations of the various frequency components in a noisy signal. In particular, the standard LPC method, new proposed LPC method and the Short-time Fourier Transform (STFT) are compared using a noisy Frequency Modulation (FM) signal as a test signal. We show that the proposed method provides the best performance in tracking the frequency changes in real time.
{"title":"New Robust LPC-Based Method for Time-resolved Morphology of High-noise Multiple Frequency Signals","authors":"Jin Xu, M. Davis, Ruairí de Fréin","doi":"10.1109/ISSC49989.2020.9180212","DOIUrl":"https://doi.org/10.1109/ISSC49989.2020.9180212","url":null,"abstract":"This paper introduces a new time-resolved spectral analysis method based on the Linear Prediction Coding (LPC) method that is particularly suited to the study of the dynamics of low Signal-to-noise Ratio (SNR) signals comprising multiple frequency components. One of the challenges of the time-resolved spectral method is that they are limited by the Heisenberg-Gabor uncertainty principle. Consequently, there is a trade-off between the temporal and spectral resolution. Most of the previous studies are time-averaged methods. The proposed method is a parameterisation method which can directly extract the dominant formants. The method is based on a z-plane analysis of the poles of the LPC filter which allows us to identify and to accurately estimate the frequency of the dominant spectral features. We demonstrate how this method can be used to track the temporal variations of the various frequency components in a noisy signal. In particular, the standard LPC method, new proposed LPC method and the Short-time Fourier Transform (STFT) are compared using a noisy Frequency Modulation (FM) signal as a test signal. We show that the proposed method provides the best performance in tracking the frequency changes in real time.","PeriodicalId":351013,"journal":{"name":"2020 31st Irish Signals and Systems Conference (ISSC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124745754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-06-01DOI: 10.1109/ISSC49989.2020.9180163
Yusuf Cinar, P. Počta, Andrew Hines
Objective speech quality assessment techniques, which use the perceptual models to emulate the human listening perception, have seen several revisions in the recent years. This study investigates the evolution of POLQA and ViSQOL models and scrutinise their latest versions. Prior work had identified weaknesses in both prediction models when presented with speech containing imperceptible playout adjustments. This study follows up the experiments to evaluate the progress and report the progress and the current issues, benchmarked against subjective listening quality scores. The assessment is conducted for all published versions of the POLQA and ViSQOL models and the evolution and improvement offered is analysed. We can conclude that the models have been improved in terms of imperceptible jitter buffer adjustments highlighted in prior work. This study also explores the performance of objective quality models and intelligibility (STOI and POLQA Intelligibility) models for a data set produced with realistic but extreme WebRTC scenarios using a standard and novel WebRTC jitter buffer strategy. An expert listening test was conducted to subjectively evaluate the WebRTC data set. It is observed that the standard WebRTC jitter buffer strategy produces more natural speech while the novel approach offers better intelligibility. The subjective and objective quality results suggest that the speech quality for standard jitter buffer were lower but more consistent than for the novel jitter buffer. The objective intelligibility results were conflicting. A followup study will conduct independent subjective evaluations of quality and intelligibility to further explore the relationship between the objective intelligibility and quality results.
{"title":"Playout again Sam: Jitter Buffer Playout Adjustments Still an Issue for Speech Quality Prediction Models?","authors":"Yusuf Cinar, P. Počta, Andrew Hines","doi":"10.1109/ISSC49989.2020.9180163","DOIUrl":"https://doi.org/10.1109/ISSC49989.2020.9180163","url":null,"abstract":"Objective speech quality assessment techniques, which use the perceptual models to emulate the human listening perception, have seen several revisions in the recent years. This study investigates the evolution of POLQA and ViSQOL models and scrutinise their latest versions. Prior work had identified weaknesses in both prediction models when presented with speech containing imperceptible playout adjustments. This study follows up the experiments to evaluate the progress and report the progress and the current issues, benchmarked against subjective listening quality scores. The assessment is conducted for all published versions of the POLQA and ViSQOL models and the evolution and improvement offered is analysed. We can conclude that the models have been improved in terms of imperceptible jitter buffer adjustments highlighted in prior work. This study also explores the performance of objective quality models and intelligibility (STOI and POLQA Intelligibility) models for a data set produced with realistic but extreme WebRTC scenarios using a standard and novel WebRTC jitter buffer strategy. An expert listening test was conducted to subjectively evaluate the WebRTC data set. It is observed that the standard WebRTC jitter buffer strategy produces more natural speech while the novel approach offers better intelligibility. The subjective and objective quality results suggest that the speech quality for standard jitter buffer were lower but more consistent than for the novel jitter buffer. The objective intelligibility results were conflicting. A followup study will conduct independent subjective evaluations of quality and intelligibility to further explore the relationship between the objective intelligibility and quality results.","PeriodicalId":351013,"journal":{"name":"2020 31st Irish Signals and Systems Conference (ISSC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124759230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-06-01DOI: 10.1109/ISSC49989.2020.9180180
Valerio Mazzaro, Luke Gleeson, Michael Peter Kennedy
The output phase noise of fractional-N frequency synthesizers shows spurious tones due to nonlinearities present in the system. Recently, Donnelly and Kennedy have provided a numerical method to predict the locations and amplitudes of the spurs. This has been tested and confirmed for charge pump (CP) PLLs with different types of continuous nonlinearities. This paper applies the method to cases where the nonlinearity is discontinuous. This type of nonlinearity can be considered as being representative of digital PLLs with quantization in the loop.
{"title":"Analysis and Prediction of Spurs in a Fractional-N Frequency Synthesizer with Discontinuous Nonlinearity","authors":"Valerio Mazzaro, Luke Gleeson, Michael Peter Kennedy","doi":"10.1109/ISSC49989.2020.9180180","DOIUrl":"https://doi.org/10.1109/ISSC49989.2020.9180180","url":null,"abstract":"The output phase noise of fractional-N frequency synthesizers shows spurious tones due to nonlinearities present in the system. Recently, Donnelly and Kennedy have provided a numerical method to predict the locations and amplitudes of the spurs. This has been tested and confirmed for charge pump (CP) PLLs with different types of continuous nonlinearities. This paper applies the method to cases where the nonlinearity is discontinuous. This type of nonlinearity can be considered as being representative of digital PLLs with quantization in the loop.","PeriodicalId":351013,"journal":{"name":"2020 31st Irish Signals and Systems Conference (ISSC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129482380","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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