2006 IEEE 14th Signal Processing and Communications Applications最新文献_第7页

Determination of The Neural Network Performances In The Medical Prognosis By Roc Analysis 用Roc分析确定神经网络在医学预后中的表现

2006 IEEE 14th Signal Processing and Communications Applications Pub Date : 2006-04-17 DOI: 10.1109/SIU.2006.1659802

F. Tokan, Nurhan Türker, T. Yildirim

引用次数: 1

A New Approach to Increase Performance of Rapidly-Exploring Random Trees (RRT) in Mobile Robotics 一种提高移动机器人快速探索随机树性能的新方法

2006 IEEE 14th Signal Processing and Communications Applications Pub Date : 2006-04-17 DOI: 10.1109/SIU.2006.1659792

E. Ege, A. Saranli

引用次数: 4

Modelling XDSL Lines under Crosstalk Effect 串声效应下XDSL线路的建模

2006 IEEE 14th Signal Processing and Communications Applications Pub Date : 2006-04-17 DOI: 10.1109/SIU.2006.1659791

H. Kul, I. Cavdar

引用次数: 1

Dogrultu Yogunluk Fonksiyonu Ile Radar Goruntu Isleme

2006 IEEE 14th Signal Processing and Communications Applications Pub Date : 2006-04-17 DOI: 10.1109/SIU.2006.1659682

A. Demirkol

引用次数: 0

Analysing Snoring Sounds For Obstructive Sleep Apnea (OSA) Patients 阻塞性睡眠呼吸暂停(OSA)患者的鼾声分析

2006 IEEE 14th Signal Processing and Communications Applications Pub Date : 2006-04-17 DOI: 10.1109/SIU.2006.1659742

M. Cavusoglu, Y. Serinağaoğlu, O. Eroğul

{"title":"Analysing Snoring Sounds For Obstructive Sleep Apnea (OSA) Patients","authors":"M. Cavusoglu, Y. Serinağaoğlu, O. Eroğul","doi":"10.1109/SIU.2006.1659742","DOIUrl":"https://doi.org/10.1109/SIU.2006.1659742","url":null,"abstract":"Several studies have done in order to determine the relationship between snoring and obstructive sleep apnea syndrome (OSAS). One of the common problem that is faced during the medical treatment of the apnea is the undetermination of the efficiency of the applied treatment in terms of objective criteria. It is needed to automatically detect each snoring episode in order to estimate the spectral features and determine the snoring sound intensity. In this study, an automatic detection system of acoustic snoring signals has been designed, to work with long duration respiratory sound recordings. The system was designed to select snoring episodes from simple snorers and OSAS patients and to reject the undesired waveforms. The sound recordings were taken from patients that are suspected of OSAS pathology while they were connected to the polysomnography in Gulhane Military Medical Academy (GMMA) Sleep Studies Laboratory. In order to validate the system, 500 snores were analysed taken from 30 patients with different apnea/hypopnea index (AHI) . Results were compared with manual annotations done by a medical doctor and the average sensitivity of the system is determined as 86%","PeriodicalId":415037,"journal":{"name":"2006 IEEE 14th Signal Processing and Communications Applications","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125268843","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

Investigation of Different Language Models for Turkish Speech Recognition 土耳其语语音识别的不同语言模型研究

2006 IEEE 14th Signal Processing and Communications Applications Pub Date : 2006-04-17 DOI: 10.1109/SIU.2006.1659779

Ali Orkan Bayer, Tolga Q7iloglut, Meltem Turhan, Yondem Bilgisayar, Miihendisligi B6liimii Telektrik Ve Elektronik, Miihendisligi B6liimii

{"title":"Investigation of Different Language Models for Turkish Speech Recognition","authors":"Ali Orkan Bayer, Tolga Q7iloglut, Meltem Turhan, Yondem Bilgisayar, Miihendisligi B6liimii Telektrik Ve Elektronik, Miihendisligi B6liimii","doi":"10.1109/SIU.2006.1659779","DOIUrl":"https://doi.org/10.1109/SIU.2006.1659779","url":null,"abstract":"Large vocabulary continuous speech recognition can be performed with high accuracy for languages like English that do not have a rich morphological structure. However, the performance of these systems for agglutinative languages is very low. The major reason for that is, the language models that are built on the words do not perform well for agglutinative languages. In this study, three different language models that consider the structure of the agglutinative languages are investigated. Two of the models consider the subword units as the units of language modeling. The first one uses only the stem of the words as units, and the other one uses stems and endings of the words separately as the units. The third model, firstly, places the words into certain classes by using the co-occurrences of the words, and then uses these classes as the units of the language model. The performance of the models are tested by using two stage decoding; in the first stage, lattices are formed by using bi-gram models and then tri-gram models are used for recognition over these lattices. In this study, it is shown that the vocabulary coverage of the system seriously affects the recognition performance. For this reason, models that use stems and endings as the modeling unit perform better since their coverage of the vocabulary is higher. In addition to that, a single-pass decoder that can perform single pass decoding over these models is believed to increase the recognition performance","PeriodicalId":415037,"journal":{"name":"2006 IEEE 14th Signal Processing and Communications Applications","volume":"157 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121482932","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: 7

The Performance Analysis of the Antenna System Designed by Using The PI Matching Circuit 采用PI匹配电路设计的天线系统的性能分析

2006 IEEE 14th Signal Processing and Communications Applications Pub Date : 2006-04-17 DOI: 10.1109/SIU.2006.1659689

A. Kaya, E. Y. Yuksel

引用次数: 0

Recording System For Korotkoff Sound Signals Korotkoff声音信号记录系统

2006 IEEE 14th Signal Processing and Communications Applications Pub Date : 2006-04-17 DOI: 10.1109/SIU.2006.1659684

S. Altunkaya, M. Bayrak

引用次数: 0

Performance of Advanced Discrete-Time RAKE Receivers 先进离散时间RAKE接收机的性能

2006 IEEE 14th Signal Processing and Communications Applications Pub Date : 2006-04-17 DOI: 10.1109/SIU.2006.1659796

T. Baykaş, A. Yongaçoğlu

{"title":"Performance of Advanced Discrete-Time RAKE Receivers","authors":"T. Baykaş, A. Yongaçoğlu","doi":"10.1109/SIU.2006.1659796","DOIUrl":"https://doi.org/10.1109/SIU.2006.1659796","url":null,"abstract":"In this paper, we investigate the performance of several advanced discrete-time RAKE receivers under the effect of channel statistics estimation errors. The name of the first receiver is the decorrelating discrete-time RAKE receiver (D-DTR), which improves the performance in the presence of channel estimation errors in diffuse channels. The second receiver is the discrete-time version of the generalized RAKE (G-DTR) receiver. The G-DTR has been proposed for correlated interference mitigation. The last system is the generalized decorrelating discrete-time RAKE receiver (GD-DTR), which combines the benefits of the D-DTR and the G-DTR. In the literature, it is shown that the D-DTR is sensitive to the estimation of the channel covariance matrix. In this work, we reduced this sensitivity and according to our results in worst case scenario the performance of the D-DTR is equal to a conventional discrete-time RAKE receiver (C-DTR). For the case of the GD-DTR, we introduce a very simple method for the estimation of the noise plus interference statistics and we modify the channel statistics estimation method of the D-DTR to be valid for the GD-DTR. Our simulations show that the GD-DTR needs an estimation quality above some threshold for a performance gain compared to the C-DTR","PeriodicalId":415037,"journal":{"name":"2006 IEEE 14th Signal Processing and Communications Applications","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126998699","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

Object Recognition and Auto-annotation In News Videos 新闻视频中的对象识别和自动注释

2006 IEEE 14th Signal Processing and Communications Applications Pub Date : 2006-04-17 DOI: 10.1109/SIU.2006.1659821

M. Bastan, Pinar Duygulu

引用次数: 0