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

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EM-based Joint Data Detection and Channel Estimation for Uplink MC-CDMA Systems over Frequency Selective Channels 基于em的MC-CDMA上行系统选频信道联合数据检测与信道估计
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298802
H. Dogan, E. Panayirci, H. A. Çırpan, B. Fleury
{"title":"EM-based Joint Data Detection and Channel Estimation for Uplink MC-CDMA Systems over Frequency Selective Channels","authors":"H. Dogan, E. Panayirci, H. A. Çırpan, B. Fleury","doi":"10.1109/SIU.2007.4298802","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298802","url":null,"abstract":"This paper is concerned with joint channel estimation and data detection for uplink multicarrier code-division multiple-access (MC-CDMA) systems in the presence of frequency fading channel. The detection and estimation algorithm, implemented at the receiver, is based on a version of the expectation maximization (EM) technique which is very suitable for the multicarrier signal formats. Application of the EM-based algorithm to the problem of iterative data detection and channel estimation leads to a receiver structure that also incorporates a partial interference cancellation. Computer simulations show that the proposed algorithm has excellent BER end estimation performance.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"20 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":"115511679","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
Rate-Distortion Guided Piecewise Planar 3D Scene Representation 率失真引导的分段平面三维场景表示
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298837
E. Imre, A. Alatan, U. Gudukbay
{"title":"Rate-Distortion Guided Piecewise Planar 3D Scene Representation","authors":"E. Imre, A. Alatan, U. Gudukbay","doi":"10.1109/SIU.2007.4298837","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298837","url":null,"abstract":"This paper proposes a novel 3D piecewise planar reconstruction algorithm, which utilizes the statistical error between a particular frame and its prediction to refine a coarse 3D piecewise planar representation. The algorithm aims utilization of 3D scene geometry to remove the visual redundancy between frame pairs in any predictive coding scheme. This approach associates the rate increase with the quality of representation for determining an efficient description for a given budget. The preliminary experiments on synthetic and real data indicate the validity of the rate-distortion based approach.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"9 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":"115364930","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
Asynchronous Particular Swarm Optimization 异步特定群优化
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298807
M. Ordukaya
{"title":"Asynchronous Particular Swarm Optimization","authors":"M. Ordukaya","doi":"10.1109/SIU.2007.4298807","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298807","url":null,"abstract":"In this paper.we present particle swarm optimization based on asynchronous algorithms for a multi-agent swarm.We study generalized PSO algoritm with two schemes called global best (gbest) and local best (lbest).We apply these two schemes to our multimodel function.Generally PSO is performed with synchronous algorithms.Our corparative study indicates that PSO modelled with asynchronous algorithm converges to a real desired value as synchronous models.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"284 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":"115529240","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
A New Approach for Classification of EEG Signals 一种新的脑电信号分类方法
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298603
G. Tezel, Y. Ozbay
{"title":"A New Approach for Classification of EEG Signals","authors":"G. Tezel, Y. Ozbay","doi":"10.1109/SIU.2007.4298603","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298603","url":null,"abstract":"This study presents a comparative study of the classification accuracy and speed of performance of epileptic Electroensefalogram (EEG) signals using a traditional neural network architecture based on backpropagation training algorithm, and a new neural network. The proposed network is called adaptive neural network with activation function (AAF-NN) in which adjustable parameters, It is used two different activation functions for developed study. One of theese adaptive activation functions is sigmoid function with free parameters and the other one is sum of sinusoidal function with free parameters and sigmoid function with free parameters. The adaptive activation function with free parameters is used in the hidden layer for the proposed structures based on the feed-forward neural network Experimental results have revealed that neural network with adaptive activation function is more suitable for classification EEG signals and training speed is much faster than traditional neural network with fixed sigmoid activation function.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"40 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":"123367562","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
Measurement Strategies for Input Estimation in Linear Systems 线性系统输入估计的测量策略
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298562
Ayça Ozçelikkale, H. Ozaktas, E. Ankan
{"title":"Measurement Strategies for Input Estimation in Linear Systems","authors":"Ayça Ozçelikkale, H. Ozaktas, E. Ankan","doi":"10.1109/SIU.2007.4298562","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298562","url":null,"abstract":"In this work, we present a mathematical approach for some of the measurement problems arising in optics, which is also applicable to other contexts. We see the measurement problem as the problem of determining the best measurement strategy to estimate an unknown stochastic process by noisy measurements. The number of measurement devices, their positions and qualities characterize the measurement strategies. The model we use also includes a cost function based on resolving powers of sensors. We are unable to offer a solution to this problem in such generality; but for the metrical problem in which the number and locations of the measurement devices are fixed, we present an efficient numerical approach.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"201 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":"121407972","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
JPEG Hardware Accelerator Design for FPGA FPGA的JPEG硬件加速器设计
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298563
Kaan Duman, Fuat Çogun, Levent Oktem
{"title":"JPEG Hardware Accelerator Design for FPGA","authors":"Kaan Duman, Fuat Çogun, Levent Oktem","doi":"10.1109/SIU.2007.4298563","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298563","url":null,"abstract":"A fully pipelined JPEG hardware accelerator that runs on FPGA is presented. The accelerator is designed interactively in a simulation environment, using a DSP hardware design automation tool chain. The encoder part of the accelerator accepts 8×8 image blocks in a streaming fashion, and outputs the zigzag-scanned, quantized 2D DCT coefficients of the block. The decoder part accepts zigzag-scanned, quantized DCT coefficients, and outputs reconstructed 8×8 image block. Each part has a throughput of one system clock per pixel per channel. The encoder employs a fast pipelined implementation for 2D DCT (LK.C. Agonstini et al., 2001). For the decoder, a new pipelined 2D IDCT structure is developed. Our IDCT structure is based on an IDCT factorization for software implementation, and is inspired by the pipelined DCT structure employed in the encoder. The resource utilization and maximum frequency figures for a particular FPGA target suggest that our accelerator has competitive performance.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"2 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":"122284274","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
Model Based and Experimental Investigation of the Heart Rate Response to Inspiratory Hold 吸气憋气时心率反应的模型与实验研究
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298690
Esra Sengun, Yusuf Ziya Icier
{"title":"Model Based and Experimental Investigation of the Heart Rate Response to Inspiratory Hold","authors":"Esra Sengun, Yusuf Ziya Icier","doi":"10.1109/SIU.2007.4298690","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298690","url":null,"abstract":"The goal of this study is experimental and model based investigation of the respiratory effect on heart rate variability (HRV). In this study, the ECG and respiration were recorded from 6 healthy volunteers who were told to hold their breath for 30 seconds. 5 recordings were taken from each volunteer and signal averaging was used. It was observed that HRV changes with oscillatory behavior at around 0.1 Hz and returns approximately to the value before the beginning of breath hold. Moreover, by using the characteristics of actual respiratory signals, the HRV predicted by the Ursino-Magosso model was calculated. The actual HRV and the model predicted HRV were compared in time domain, and were found to be in concordance in general.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"93 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":"128226721","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
Speech Recognition for Turkish Broadcast News 土耳其广播新闻语音识别
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298741
E. Arisoy, M. Saraçlar
{"title":"Speech Recognition for Turkish Broadcast News","authors":"E. Arisoy, M. Saraçlar","doi":"10.1109/SIU.2007.4298741","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298741","url":null,"abstract":"The aim of this study is to develop a speech recognition system for Turkish broadcast news. The state-of-the-art speech recognition systems utilize statistical models. A large amount of data is required to reliably estimate these models. For this study, a large Turkish Broadcast News database, consisting of the speech signal and corresponding transcriptions, is being collected. In this paper, information about this database and experiments performed using the system developed on the collected data are presented. In addition to the baseline system, various adaptation schemes and subword language models were tried. Currently, our best systems has lower than 20% error on clean speech.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"33 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":"130471077","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
Unequal Error Protection for Stereoscopic Video Streaming 立体视频流的不等错误保护
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298702
A. Tan, A. Aksay, Ç. Bilen, G. Akar, E. Arıkan
{"title":"Unequal Error Protection for Stereoscopic Video Streaming","authors":"A. Tan, A. Aksay, Ç. Bilen, G. Akar, E. Arıkan","doi":"10.1109/SIU.2007.4298702","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298702","url":null,"abstract":"The utilization of forward error correction (FEC) schemes for stereo video streaming is investigated. Stereo video is categorized in 3 layers and each layer is protected with different protection ratios for efficient streaming. Systematic Reed-Solomon (RS) and Luby Transform (LT) codes are utilized as the error protection schemes. Detailed simulations are performed in order to observe the optimum unequal error protection (UEP) strategies for the defined video layers. Moreover, as a result of these simulations the performance comparison of RS and LT codes for video streaming is provided.","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":"128108049","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
Underwater Ambient Noise Measurement and Recording System 水下环境噪声测量与记录系统
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298705
S. Baykut, S. Direk, C. Gezer, Ufuk Ulug, T. Akgul
{"title":"Underwater Ambient Noise Measurement and Recording System","authors":"S. Baykut, S. Direk, C. Gezer, Ufuk Ulug, T. Akgul","doi":"10.1109/SIU.2007.4298705","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298705","url":null,"abstract":"In this study, a shallow water broadband acoustic receiver system is designed for collecting underwater acoustic data. The system is designed as a linear sensor array including 8 omni directional hydrophones. In order to collect the test data and conduct experiments a test system with one hydrophone is realized and a recording program interface is written prior to the implementation of the main system. Experiments are made in the aquarium, the test pool and the sea.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"22 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":"125602701","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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