2017 40th International Conference on Telecommunications and Signal Processing (TSP)最新文献_第6页

Noise removal of CBCT images using an adaptive anisotropic diffusion filter 基于自适应各向异性扩散滤波器的CBCT图像去噪

2017 40th International Conference on Telecommunications and Signal Processing (TSP) Pub Date : 2017-07-01 DOI: 10.1109/TSP.2017.8076067

E. Yılmaz, T. Kayikçioglu, S. Kayıpmaz

{"title":"Noise removal of CBCT images using an adaptive anisotropic diffusion filter","authors":"E. Yılmaz, T. Kayikçioglu, S. Kayıpmaz","doi":"10.1109/TSP.2017.8076067","DOIUrl":"https://doi.org/10.1109/TSP.2017.8076067","url":null,"abstract":"In this work we proposed an adaptive anisotropic filtering method for removing unwanted noise information that may occur in cone beam computed tomography (CBCT) images. The data used in this study consist of 1200 different image sections obtained from 30 different patients who came to Karadeniz Technical University, Faculty of Dentistry, Department of Oral Diagnosis and Radiology Clinic for routine controls. At first, to identify 2D image sections that do not contain noise information, we measured noise levels in CBCT dataset sections using a noise level estimation method. Then, we applied different levels of noise to those noise-free images. We used anisotropic diffusion filter (Perona and Malik's filter), an automatic anisotropic filter (Tsiotsios and Petrou's method), and our adaptive anisotropic filtering method to remove noise information from those images. Afterward, we obtained peak signal to noise ratio (PSNR) and mean absolute error (MAE) values derived from the results. Proposed adaptive anisotropic diffusion filter seems to be a good choice for removing noise that may occur on CBCT image sections.","PeriodicalId":256818,"journal":{"name":"2017 40th International Conference on Telecommunications and Signal Processing (TSP)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128513562","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: 8

Power allocation for in-band full-duplex self-backhauling 带内全双工自回程的功率分配

2017 40th International Conference on Telecommunications and Signal Processing (TSP) Pub Date : 2017-07-01 DOI: 10.1109/TSP.2017.8075953

E. Lagunas, Lei Lei, S. Maleki, S. Chatzinotas, B. Ottersten

引用次数: 9

A Novel Hybrid OFDM Technique for 5G 一种新的5G混合OFDM技术

2017 40th International Conference on Telecommunications and Signal Processing (TSP) Pub Date : 2017-07-01 DOI: 10.1109/TSP.2017.8075967

Onur Dursun Toren, Emre Ayduslu, Yucel Aydin, A. Özen

引用次数: 2

Effect of node position on BER performance and data throughput of on-body medical body area networks (MBANs) 节点位置对体上医疗体域网络误码率性能和数据吞吐量的影响

2017 40th International Conference on Telecommunications and Signal Processing (TSP) Pub Date : 2017-07-01 DOI: 10.1109/TSP.2017.8076016

Nada El-Maradny, H. Shaban, M. A. El-Nasr

{"title":"Effect of node position on BER performance and data throughput of on-body medical body area networks (MBANs)","authors":"Nada El-Maradny, H. Shaban, M. A. El-Nasr","doi":"10.1109/TSP.2017.8076016","DOIUrl":"https://doi.org/10.1109/TSP.2017.8076016","url":null,"abstract":"Medical Body Area Network (MBAN), recently released by the Federal Communications Commission (FCC), is a narrowband body area network (NB-BAN) specialized for medical applications. Its allocated band of frequency is from 2360–2400 MHz. This paper studies the effect of transmitter and receiver node positions on the bit-error-rate (BER) performance and maximum allowable data throughput of the on-body scenario of the 2360–2390 MHz band assuming standing body activity. In This case we consider two receiver node positions namely, the right hip and chest with various transmitter node positions. Numerical results show that the achieved bit to noise energy ratio ranges from 11–12 dB for the right hip receiver node (first scenario), and from 10.3–17.1 dB for the chest receiver node (second scenario) depending on the position of transmitter node. The achieved data throughputs are 171.949–216.47 Mbps for the first scenario, and 53.137–254.33 Mbps for the second scenario, also depending on the transmitter node position. Both scenarios show that the achieved bit to noise energy ratio varies for only 7 dBs among the different node positions, which is a relatively small range compared to other BAN bands like the ultra-wideband (UWB). The latter has a variation on ≈20 dBs for the bit to noise energy ratio depending on the transmitter and receiver node positions.","PeriodicalId":256818,"journal":{"name":"2017 40th International Conference on Telecommunications and Signal Processing (TSP)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116350893","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

Low cost intelligent notification and alarming system for ambient assisted living applications 用于环境辅助生活应用的低成本智能通知和报警系统

2017 40th International Conference on Telecommunications and Signal Processing (TSP) Pub Date : 2017-07-01 DOI: 10.1109/TSP.2017.8075982

N. Zaric, M. Pejanovic

引用次数: 5

A new FPGA based architecture to improve performance of deflectometry image processing algorithm 一种新的基于FPGA的结构来提高偏转图像处理算法的性能

2017 40th International Conference on Telecommunications and Signal Processing (TSP) Pub Date : 2017-07-01 DOI: 10.1109/TSP.2017.8076049

Faraz Bhatti, Thomas Greiner, M. Heizmann, Mathias Ziebarth

引用次数: 7

On the design of MOS-only complex filter MOS-only复合滤波器的设计

2017 40th International Conference on Telecommunications and Signal Processing (TSP) Pub Date : 2017-07-01 DOI: 10.1109/TSP.2017.8075990

H. A. Yildiz, O. Aydin, A. Toker, S. Özoguz

引用次数: 1

Programmable analog array of fractional-order filters with CFOAs 带有cfoa的分数阶滤波器的可编程模拟阵列

2017 40th International Conference on Telecommunications and Signal Processing (TSP) Pub Date : 2017-07-01 DOI: 10.1109/TSP.2017.8076079

G. Tsirimokou, R. Sotner, J. Jerabek, J. Koton, C. Psychalinos

引用次数: 11

A multiresolution approach to the extraction of the pyloric rhythm 一种多分辨率的幽门节律提取方法

2017 40th International Conference on Telecommunications and Signal Processing (TSP) Pub Date : 2017-07-01 DOI: 10.1109/TSP.2017.8076015

Filipa dos Santos, Péter András, K. Lam

引用次数: 3

Classification of EEG based BCI signals imagined hand closing and opening 基于脑机接口信号的脑电分类

2017 40th International Conference on Telecommunications and Signal Processing (TSP) Pub Date : 2017-07-01 DOI: 10.1109/TSP.2017.8076020

E. Yavuz, O. Aydemir

{"title":"Classification of EEG based BCI signals imagined hand closing and opening","authors":"E. Yavuz, O. Aydemir","doi":"10.1109/TSP.2017.8076020","DOIUrl":"https://doi.org/10.1109/TSP.2017.8076020","url":null,"abstract":"Brain-computer interfaces allow people to manage electronic devices such as computers without using their motor nervous system. When the brain is in a function, nerve cells in the brain communicate with each other with electrochemical interactions. Electroencephalogram (EEG) signals are recorded with the aid of electrodes during this function of the brain. These signals enable interaction between people and electronic devices. This interaction forms the basis of brain computer interface (BCI) systems which facilitates lives of paralyzed patients who do not have any problems with their cognitive functioning. Therefore, for high-performance BCI systems, pre-processing technique and classification method applied to these signals and features extracted from these signals are crucial. In this study, we studied a new EEG data set recorded from 29 people during imagination of hand opening/closing movement. While moving-average filter was used a pre-processing technique, the features were extracted by Hilbert Transform and Mean Derivative. Afterwards, extracted features were classified by k-nearest neighbor method. Average classification accuracy (CA) with preprocessing was achieved 82.23%, which was 12.78% higher than the average CA obtained by unprocessed EEG data set and 16.63% greater than the previous works reported in the literature. The achieved results showed that the proposed method has a great potential to be applied general with a high-performance in general.","PeriodicalId":256818,"journal":{"name":"2017 40th International Conference on Telecommunications and Signal Processing (TSP)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134251790","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