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2007 IEEE 15th Signal Processing and Communications Applications最新文献

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Palmprint Recognition Using Wavelet Based Kernel PCA 基于小波核主成分分析的掌纹识别
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298606
M. Aykut, M. Ekinci
{"title":"Palmprint Recognition Using Wavelet Based Kernel PCA","authors":"M. Aykut, M. Ekinci","doi":"10.1109/SIU.2007.4298606","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298606","url":null,"abstract":"This paper presents a wavelet based kernel principal component analysis (KPCA) palmprint recognition method for human identification. The intensity values of palmprint images are first normalized by using their mean and their standard deviation. The normalized images are then transformed to the spectral domain by using wavelet transform and lowest frequencies are selected by filtering. Next, the feature vectors are formed with KPCA method which divergences samples on the nonlinear space. Finally, weighted Euclidean distance based nearest neighbor method is realized for palmprint classification. Experiments are performed on the most-well known public palmprint database, PolyU, includes 600 samples of 100 different persons.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"172 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115179957","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
A New Operating System For Embedded Systems: eGIS 一种新的嵌入式系统操作系统:eGIS
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298638
S. Yıldırım, A. Kantarci
{"title":"A New Operating System For Embedded Systems: eGIS","authors":"S. Yıldırım, A. Kantarci","doi":"10.1109/SIU.2007.4298638","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298638","url":null,"abstract":"Many embedded applications need a real-time and embedded operating system that provides an simple operation environment. Embedded operating systems that give service to embedded applications must be configurable and restructurable in contrast to general purpose operating systems. In this work, eGlS (Ege Gmulu Isletim Sistemi) which is a real-time, portable, configurable, object oriented and embedded operating system is implemented. In this paper, the developed system is introduced and some experimental results are presented.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"333 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115771267","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
Computational Analysis of Transcriptional Profiling in Dysmorphic Syndrome 畸形综合征转录谱的计算分析
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298831
H. Otu, Handan Can, N. Kaya, L. Al-alwan, P. Ozand, M. Inan
{"title":"Computational Analysis of Transcriptional Profiling in Dysmorphic Syndrome","authors":"H. Otu, Handan Can, N. Kaya, L. Al-alwan, P. Ozand, M. Inan","doi":"10.1109/SIU.2007.4298831","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298831","url":null,"abstract":"In this paper we present comparative expression, functional and pathway analysis of transcriptional profiling of a dysmorphic patient and its matched control using whole blood and fibroblast cells in an attempt to identify genetic changes in dysmorphic disorders and developmental genes at large. Normalization was done by first finding an invariant set whose expression levels do not change significantly among the chips and then using this set to normalize raw probe values with a smoothing spline invariant set normalization method. Genes with significant change in expression were identified using the lower confidence bound of fold change and these genes were used to perform functional analyses within the context of Gene Ontology categories and biological pathways. Our results indicate that genes with altered expression levels are cell-type specific, activated biological categories are mostly developmental related such as skeletal and muscular system and genes dysregulated in both cell types effect cAMP dependent PKA pathway and consequently the CREB cycle.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116082727","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
Comparison of Cooperative Path Selection Techniques 合作路径选择技术的比较
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298594
A. Eksim, M. Çelebi
{"title":"Comparison of Cooperative Path Selection Techniques","authors":"A. Eksim, M. Çelebi","doi":"10.1109/SIU.2007.4298594","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298594","url":null,"abstract":"Relay selection (RS) is the one of the proposed methods in the literature to utilize cooperative diversity. When the source-relay channel information is not available at the destination, the RS technique does not exploit user diversity efficiently. The proposed solution of this problem in the literature is that the relays monitor all channels \"end-to-end\" and the mobile unit with the highest channel gain informs the destination and other relays. This is called path selection and is not a practical solution, since, each relay mobile unit consumes additional power for monitoring, synchronization and protocol overhead. In this paper, we propose an alternative solution in that each mobile unit quantizes its partial source-relay channel information and transmits to the destination. Since the destination is usually a base station, power consumption and synchronization is not a problem. Proposed method provides important performance gains with a few feedforward bits. New path selection algorithm does not require relay monitoring of all paths, and eliminates synchronization and protocol overhead.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125312980","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: 3
FPGA Based Implementation of Communication Modulation 基于FPGA的通信调制实现
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298751
F.M. Demiri, U. Kafadar, S. Dikmese, H. Di̇nçer
{"title":"FPGA Based Implementation of Communication Modulation","authors":"F.M. Demiri, U. Kafadar, S. Dikmese, H. Di̇nçer","doi":"10.1109/SIU.2007.4298751","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298751","url":null,"abstract":"In this study, we present the implementation of binary amplitude shift keying (BASK), binary phase shift keying(BPSK) , binary frequency shift keying (BFSK) , quadrature phase shift keying(QPSK) on FPGA using one of hardware definition language, VHDL. Algorithms are implemented on 3s 100evq 100- 4 device, belong to Xilinx FPGA family. Inputs are from RAM of FPGA card. In this work, the aim of choosing FPGA is: FPGAs perform foster compared to other processors, and parallel-processing features of VHDL enables fast results, to be able to investigate the logical programming side of FPGAs.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127058736","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: 9
Fully Bayesian Image Separation using Markov Chain Monte Carlo 完全贝叶斯图像分离使用马尔可夫链蒙特卡罗
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298718
K. Kayabol, E. Kuruoğlu, B. Sankur
{"title":"Fully Bayesian Image Separation using Markov Chain Monte Carlo","authors":"K. Kayabol, E. Kuruoğlu, B. Sankur","doi":"10.1109/SIU.2007.4298718","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298718","url":null,"abstract":"In this study, we investigate the image separation problem under noisy environments. In the definition of the problem, the Bayesian approach is considered. We present a fully stochastic method based on Markov chain Monte Carlo (MCMC), instead of other deterministic methods, used in Bayesian image separation.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115113443","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
Superimposed Event Detection by Sequential Monte Carlo Methods 序列蒙特卡罗方法的叠加事件检测
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298796
O. Urfalioglu, E. Kuruoğlu, A. Cetin
{"title":"Superimposed Event Detection by Sequential Monte Carlo Methods","authors":"O. Urfalioglu, E. Kuruoğlu, A. Cetin","doi":"10.1109/SIU.2007.4298796","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298796","url":null,"abstract":"In this paper, we consider the detection of rare events by applying particle filtering. We model the rare event as an AR signal superposed on a background signal. The activation and deactivation times of the AR-signal are unknown. We solve the online detection problem of this superpositional rare event by extending the state space dimension by one. The additional parameter of the state represents the AR-signal, which is zero when deactivated. Numerical experiments demonstrate the effectiveness of our approach.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128062276","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 An STFT-Based Broadband Interference Excision Algorithm In DS-SS Systems DS-SS系统中基于stft的宽带干扰消除算法的性能分析
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298866
S. Aldirmaz, L. Durak
{"title":"Performance Analysis Of An STFT-Based Broadband Interference Excision Algorithm In DS-SS Systems","authors":"S. Aldirmaz, L. Durak","doi":"10.1109/SIU.2007.4298866","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298866","url":null,"abstract":"A novel short-time Fourier transform (STFT)based interference excision algorithm in direct-sequence spread spectrum (DS-SS) communication systems is introduced. The proposed excision algorithm is developed for chirp-type signals that have broadband frequency characteristics. It is based on the time-frequency analysis of received signals. To analyze the interference, STFT of the received signal is computed and thresholded. The interference detection is followed by an inverse-STFT computation to estimate the high power jamming signal. The estimated jammer is then subtracted in time domain before demodulation. Simulations present adequate interference estimation results with mean estimation errors less than 0.01%. Various scenarios with different jammer-to-signal ratios (JSRs) and signal-to-noise ratios (SNRs) vs. bit error rates (BERs) are presented for single and multi-component chirp signals. Interference excision algorithms improve the system performance more than an order of magnitude.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123564597","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: 3
Robust Vehicle Detection Algorithm 鲁棒车辆检测算法
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298664
M. Durus, A. Erçil
{"title":"Robust Vehicle Detection Algorithm","authors":"M. Durus, A. Erçil","doi":"10.1109/SIU.2007.4298664","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298664","url":null,"abstract":"The objective of this work is to develop an algorithm for the detection of vehicles in parking lot images. By the proposed method, each image region corresponding to a parking cell is segmented for initialization and temporal differencing is used for state tracking. Therefore, reference images taken in vacant state are not needed. The algorithm can easily be applied to parking lots in continuous service for the detection of the vehicles or to any application requiring the detection of the cars. Also the usage of the temporal differencing makes the system work faster.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131754160","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: 11
MATLAB GUI Based Sensor Array Processing Estimation Methods and Performance Analysis Simulator 基于MATLAB GUI的传感器阵列处理估计方法及性能分析模拟器
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298859
K. Kucuk, E. Kelebekler, A. Kavak
{"title":"MATLAB GUI Based Sensor Array Processing Estimation Methods and Performance Analysis Simulator","authors":"K. Kucuk, E. Kelebekler, A. Kavak","doi":"10.1109/SIU.2007.4298859","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298859","url":null,"abstract":"This paper presents a simulator designed to enable simulations and performance analysis of different estimation algorithms and methods in the sensor array processing problems for postgraduate level statistical and array signal processing lesson. This simulator has been prepared using graphical user interface (GUI) capabilities of MATLAB being used widespread in engineering subjects. User constitutes simulation environment itself by entering the desired parameters and is able to choose different methods and algorithms for frequency, direction of arrival and signal waveform estimations. Antenna configuration has been chosen as uniform linear array (ULA). The aim is to develop a simulator which provides the postgraduate students to fully comprehend the methods used to truly find related parameters in simulation conditions and enables to make a performance analysis of the methods by means of root-mean squared error (RMSE) in the same conditions.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131772721","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
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