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2017 25th Signal Processing and Communications Applications Conference (SIU)最新文献

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Mel-frequency cepstral based heart sound signal segmentation for decision support system 基于mel频率倒谱的心音信号分割决策支持系统
2017 25th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2017-05-15 DOI: 10.1109/SIU.2017.7960430
Gülsen Çelebi, Göksel Sözeri, A. Yilmaz, Deniz Katircioglu-Öztürk, S. Okutucu, B. Sayin, H. Aksoy, A. Oto
{"title":"Mel-frequency cepstral based heart sound signal segmentation for decision support system","authors":"Gülsen Çelebi, Göksel Sözeri, A. Yilmaz, Deniz Katircioglu-Öztürk, S. Okutucu, B. Sayin, H. Aksoy, A. Oto","doi":"10.1109/SIU.2017.7960430","DOIUrl":"https://doi.org/10.1109/SIU.2017.7960430","url":null,"abstract":"The classification of heart diseases depends on the correct identification of S1 and S2 segments. Without the ECG reference signal, segmentation methods become naturally more complicated. In the hospital environment, the heart sounds collected from the patients through the stethoscope carry unrequired environmental sounds such as ambient noise, speech, wheezing, and friction. Besides, depending on the heart condition, noise like murmur is also included in these heart sounds. Discrete Wavelet Transform and Mel-Frequency Cepstral Coefficient (MFCC) have been used as a hybrid solution for the filtering of the noise content of basic heart sounds. In order to determine S1-S2 locations, heart rate and systolic time intervals were predicted by using signal autocorrelation. As a result of this proposed algorithm, S1 and S2 sounds were detected with 98.19% precision and 98.52% recall for normal heart sounds, while S1 and S2 were detected with precision of 94.31% and recall of 96.92% for abnormal heart sounds.","PeriodicalId":217576,"journal":{"name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122532306","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}
引用次数: 2
Online generation of tango choreography using tempo estimation 在线生成探戈舞蹈使用的速度估计
2017 25th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2017-05-15 DOI: 10.1109/SIU.2017.7960655
Anil Ozen, U. Yazgan, Sanem Sariel, G. Ince
{"title":"Online generation of tango choreography using tempo estimation","authors":"Anil Ozen, U. Yazgan, Sanem Sariel, G. Ince","doi":"10.1109/SIU.2017.7960655","DOIUrl":"https://doi.org/10.1109/SIU.2017.7960655","url":null,"abstract":"In this paper, synthesising tango choreographies from tango dances is aimed. This system takes tango dance patterns performed by human dancers as input and produces choreographies that are represented in 3 dimensional virtual environment. Dance figures obtained by motion capture system are segmented automatically and analyzed with regard to weight center to form the dance database. Choreographies are then created by combining compatible primitives and adapting them to each other while transforming them to match the song tempo. The system's efficiency is verified with tests using an array of songs having varying tempos as well as synthetic songs having constant tempo.","PeriodicalId":217576,"journal":{"name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115219992","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}
引用次数: 0
Performance analysis of full-duplex spatial-modulated communication systems 全双工空间调制通信系统的性能分析
2017 25th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2017-05-15 DOI: 10.1109/SIU.2017.7960337
Asil Koç, I. Altunbas, E. Başar
{"title":"Performance analysis of full-duplex spatial-modulated communication systems","authors":"Asil Koç, I. Altunbas, E. Başar","doi":"10.1109/SIU.2017.7960337","DOIUrl":"https://doi.org/10.1109/SIU.2017.7960337","url":null,"abstract":"In this work, the performance of full-duplex spatial-modulated communication systems is investigated over Rayleigh fading channels. An upper bound for the average bit error probability of the proposed system is derived in a closed-form. During the analyses, the effect of the residual loop interference due to the full-duplex transmission is also considered. The accuracy of the theoretical analysis is verified by Monte Carlo type computer simulations. It is observed that the proposed system provides better performance compared to the conventional spatial-modulated systems with half-duplex transmission.","PeriodicalId":217576,"journal":{"name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131494389","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}
引用次数: 0
Radar fingerprint extraction via variational mode decomposition 基于变分模态分解的雷达指纹提取
2017 25th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2017-05-15 DOI: 10.1109/SIU.2017.7960531
Gokhan Gok, Y. K. Alp, Fatih Altiparmak
{"title":"Radar fingerprint extraction via variational mode decomposition","authors":"Gokhan Gok, Y. K. Alp, Fatih Altiparmak","doi":"10.1109/SIU.2017.7960531","DOIUrl":"https://doi.org/10.1109/SIU.2017.7960531","url":null,"abstract":"In iMs paper, a novel method for extracting radar fingerprint using the unintentional modulation on radar signals is proposed. Proposed technique decomposes the unintentional modulations into its components using Variational Mode Decomposition (VMD) technique. Then, features that characterize each component are calculated. Simulations using real radar data show that proposed technique can classify radars in the dataset with high performance.","PeriodicalId":217576,"journal":{"name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126847850","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}
引用次数: 4
Voice cloud platform for medical applications 医疗应用语音云平台
2017 25th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2017-05-15 DOI: 10.1109/SIU.2017.7960685
H. Aydan, Meral Korkmaz, Beyza Cizmeci, I. Koçak, Nilufer Egrican, G. Ince
{"title":"Voice cloud platform for medical applications","authors":"H. Aydan, Meral Korkmaz, Beyza Cizmeci, I. Koçak, Nilufer Egrican, G. Ince","doi":"10.1109/SIU.2017.7960685","DOIUrl":"https://doi.org/10.1109/SIU.2017.7960685","url":null,"abstract":"The usability and health of a person's voice has dire impact on the person's quality of life. Pathological issues that may exist on a person's voice often cannot be detected by a regular listener. Medical attention from a professional may be necessary to detect vocal pathologies. Analysis of the patients complaints and a perceptual evaluation performed by a doctor is one of the most common ways to diagnose a vocal condition. This method can be invasive, time consuming and expensive. Features of the voice can be extracted and utilized in a computer environment to make the same diagnosis which may increase the speed and accuracy of the diagnosis and decrease the cost. In this paper, a cloud application which collects vocal data in a database is proposed. With data mining and machine learning methods, a new tool has been developed to detect and diagnose vocal anomalies in patients. The effectiveness of the suggested platform has been demonstrated with a pathological detection and recognition application running in the server.","PeriodicalId":217576,"journal":{"name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114361165","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}
引用次数: 0
Sign alterations of LLR values based early termination method for LT BP decoder 基于LLR值符号变化的lbp解码器早期终止方法
2017 25th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2017-05-15 DOI: 10.1109/SIU.2017.7960434
Cenk Albayrak, Cemaleddin Şimşek, K. Türk
{"title":"Sign alterations of LLR values based early termination method for LT BP decoder","authors":"Cenk Albayrak, Cemaleddin Şimşek, K. Türk","doi":"10.1109/SIU.2017.7960434","DOIUrl":"https://doi.org/10.1109/SIU.2017.7960434","url":null,"abstract":"In this letter, a new early termination method is proposed for Luby transform (LT) belief propagation (BP) decoder. The proposed method is decided whether BP decoder output converges to original data bits by observing only sign alterations of log-likelihood ratio (LLR) messages in BP decoder structure. Simulation results and complexity analyzes show that proposed method has low computational complexity and small average iteration amounts compared to conventional early termination methods in literature. In addition to this, the proposed method doesn't cause any performance degradation in BP decoder. The method can be easily applied to code families which can be decoded by BP algorithm such as low density parity check (LDPC) codes, polar codes and Raptor codes.","PeriodicalId":217576,"journal":{"name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123876159","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}
引用次数: 1
Modeling of three-axis gimbal system on unmanned air vehicle (UAV) under external disturbances 外部干扰下无人机三轴云台系统建模
2017 25th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2017-05-15 DOI: 10.1109/SIU.2017.7960196
Aytaç Altan, R. Hacıoğlu
{"title":"Modeling of three-axis gimbal system on unmanned air vehicle (UAV) under external disturbances","authors":"Aytaç Altan, R. Hacıoğlu","doi":"10.1109/SIU.2017.7960196","DOIUrl":"https://doi.org/10.1109/SIU.2017.7960196","url":null,"abstract":"This study focuses on the modelling of 3 axis gimbal system with the RRR joint structure on the Unmanned Aerial Vehicle (UAV), which is autonomously moving for the target tracking, based on experimental input (motor velocities) and output (end effector position) data. The fact that UAVs move in a certain direction and that the camera on the end effector of the gimbal system on it is adhere to the correct target attracts many researchers. The transfer function of the 3 axis gimbal system is obtained by linearly structured OE-Output Error model using experimentally obtained data under different external disturbance effects. Model degree is determined and data set based verification is applied. Also, the performance is compared by examining the effect of external disturbance in the transfer function obtained.","PeriodicalId":217576,"journal":{"name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115076686","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}
引用次数: 22
Inset fed patch antenna with five slots 插入馈电贴片天线，有五个槽
2017 25th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2017-05-15 DOI: 10.1109/SIU.2017.7960141
Abdul Malek Naes, Ahmad Aljalmoud, Ahmad Alkhas, Khaled Tawakol, Eyad Kokach, Taha Imeci
{"title":"Inset fed patch antenna with five slots","authors":"Abdul Malek Naes, Ahmad Aljalmoud, Ahmad Alkhas, Khaled Tawakol, Eyad Kokach, Taha Imeci","doi":"10.1109/SIU.2017.7960141","DOIUrl":"https://doi.org/10.1109/SIU.2017.7960141","url":null,"abstract":"In the following paper, a rectangular microstrip patch antenna with two main kinds of slots which are rectangular slots that are more frequently used and L shaped slots are designed, simulated, built and tested. Furthermore, a circular-shaped input feed with 1 mm diameter was chosen to feed the antenna from the edge of the inset-fed part of the antenna. Moreover, an RT6002 substrate with 0.76 mm thickness was the raw material of the antenna. Eventually; this design was capable of acheiving a gain of 8.2 dB with a remarkable value of-15.2 dB for S11 in the manufactured antenna, for a Ku band frequency of 14.4 GHz as Vector Network Analyzer measures. As this design has a Ku band frequency, it could be used for satellite communications such as NASA's Tracking Data Relay Satellite, backhauls broadcasting, and vehicle speed detection.","PeriodicalId":217576,"journal":{"name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124471603","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}
引用次数: 0
SAR image time series analysis in vegetation classification using global and local information based linear discriminant analysis 基于全局和局部信息的线性判别分析在SAR影像时序植被分类中的应用
2017 25th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2017-05-15 DOI: 10.1109/SIU.2017.7960204
U. Sakarya, C. Demirpolat
{"title":"SAR image time series analysis in vegetation classification using global and local information based linear discriminant analysis","authors":"U. Sakarya, C. Demirpolat","doi":"10.1109/SIU.2017.7960204","DOIUrl":"https://doi.org/10.1109/SIU.2017.7960204","url":null,"abstract":"Vegetation classification using SAR images is one of the research topics in remote sensing. In this paper, SAR image time series analysis in vegetation classification using global and local information based linear discriminant analysis is presented. It is experimentally demonstrated that the use of local pattern information in addition to global pattern information has increased both accuracy and time performance in vegetation classification using time-series TerraSAR-X images.","PeriodicalId":217576,"journal":{"name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","volume":"205 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124612950","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}
引用次数: 2
Statistical comparison of classification methods in EEG signals 脑电信号分类方法的统计比较
2017 25th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2017-05-15 DOI: 10.1109/SIU.2017.7960182
G. Ekim, A. Atasoy, N. Ikizler
{"title":"Statistical comparison of classification methods in EEG signals","authors":"G. Ekim, A. Atasoy, N. Ikizler","doi":"10.1109/SIU.2017.7960182","DOIUrl":"https://doi.org/10.1109/SIU.2017.7960182","url":null,"abstract":"EEG is a test method that contains important information about brain activity and it is frequently used in the diagnosis and treatment of brain diseases. In this study, the EEG dataset from the University of Bonn, Department of Epileptology Database was used. First, spectral analysis of EEG records was performed with discrete wavelet transform. Then, these records were classified using Naive Bayes, K-Nearest Neighbor, Support Vector Machines and Decision Trees methods, and statistically compared with the results that has been found. In term of classification success and algorithm speed, it has been determined that the best method is the K-Nearest Neighbor method.","PeriodicalId":217576,"journal":{"name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116208605","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}
引用次数: 1
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