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

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Hidden Data Transmission In MELP Coded Speech Signal Using Quantization Index Modulation 基于量化索引调制的MELP编码语音信号的隐藏数据传输
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298835
A. Yargiçoglu, H. Ilk
{"title":"Hidden Data Transmission In MELP Coded Speech Signal Using Quantization Index Modulation","authors":"A. Yargiçoglu, H. Ilk","doi":"10.1109/SIU.2007.4298835","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298835","url":null,"abstract":"In this paper, some data hiding methods which embed secret data during the analysis of the speech signal are presented. All of the methods in question hide data while the multistage quantization of the LSF parameters is in progress. Some of the given methods have already been published in the previous studies, on the other side most of the methods are novel and introduced in this study. The methods are applied to standard speech samples. The assorted methods are compared with each other using the distortion resulted from the hidden data insertion, which are calculated in forms of weighted Euclidian distances and spectral distortions. According to the comparison results, the methods which carry out QIM at the third and fourth stages of the multistage quantizer, distort the signal as much as the transmission channel including 10-3 bit rated white noise.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"5 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":"117117617","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
Yorulma Sürecinde BEG ve EMG Aktiviteleri Aasindaki Zaman Frekans Tabanli Uyumluluk Analizi
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298653
Alper Dizibuyuk, M. Kiymik, Hatice Batar
{"title":"Yorulma Sürecinde BEG ve EMG Aktiviteleri Aasindaki Zaman Frekans Tabanli Uyumluluk Analizi","authors":"Alper Dizibuyuk, M. Kiymik, Hatice Batar","doi":"10.1109/SIU.2007.4298653","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298653","url":null,"abstract":"In voluntary movements, functional role of synchronized neuronal activity in the human motor system is important to detection and diagnosing of the some diseases, For this aim simultaneously cortical activity by electroencephalography (EEG) and electromyography (EMG) activity by of the activated muscle during a phasic voluntary movement are recorded for six healthy young person and relation of the coherence between the signals are observed in time frequency domain.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"1 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120816619","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
AOA Estimation by TDOA in an Outdoor Mutipath Environment 室外多径环境下基于TDOA的AOA估计
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298670
Çağrı Halis Başçiftçi, S. Koc
{"title":"AOA Estimation by TDOA in an Outdoor Mutipath Environment","authors":"Çağrı Halis Başçiftçi, S. Koc","doi":"10.1109/SIU.2007.4298670","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298670","url":null,"abstract":"This paper investigates the effects of multipath channel on angle of arrival (AOA) estimation with cross correlation time difference of arrival (TDOA) method. System model of a direction finding system that uses TDOA cross correlation method is presented. Effects of delay spread and average channel power delay profile on AOA estimation performance are demonstrated. Impact of diversity on AOA estimation performance is investigated. Performance improvements of two different diversity combining techniques, namely squarelaw combination diversity and selective combining diversity are compared.","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":"124827884","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
Speech vs Nonspeech Segmentation of Audio Signals Using Support Vector Machines 基于支持向量机的音频信号语音与非语音分割
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298688
T. Danisman, A. Alpkocak
{"title":"Speech vs Nonspeech Segmentation of Audio Signals Using Support Vector Machines","authors":"T. Danisman, A. Alpkocak","doi":"10.1109/SIU.2007.4298688","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298688","url":null,"abstract":"In this study, we have presented a speech vs nonspeech segmentation of audio signals extracted from video. We have used 4330 seconds of audio signal extracted from \"Lost\" TV series for training. Our training set is automatically builded by using timestamp information exists in subtitles. After that, silence areas within those speech areas are discarded with a further study. Then, standard deviation of MFCC feature vectors of size 20 have been obtained. Finally, Support Vector Machines (SVM) is used with one-vs-all method for the classification. We have used 7545 seconds of audio signal from \"Lost\" and \"How I Met Your Mother\" TV Series. We achieved an overall accuracy of 87.77% for speech vs non-speech segmentation and 90.33% recall value for non-speech classes.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"160 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":"126141821","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
Learning Gene Regulation from Microarray Data via Hidden Markov Models 利用隐马尔可夫模型从微阵列数据中学习基因调控
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298830
A.O. Abali, E. Erzin, A. Gursoy
{"title":"Learning Gene Regulation from Microarray Data via Hidden Markov Models","authors":"A.O. Abali, E. Erzin, A. Gursoy","doi":"10.1109/SIU.2007.4298830","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298830","url":null,"abstract":"An important problem in computational biology is prediction of gene regulatory networks. There are many approaches to this problem. However hidden Markov models that are known to show high performance in signal similarity related uses are hard to come by in literature. We have shown through our investigations that this method outperforms correlation method. Furthermore, it is clear that this method can be improved to achieve even higher performance. Hidden Markov models are a reasonable candidate in becoming a useful tool in predicting gene regulatory networks.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"951 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":"123308232","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
Spectrogram-Based Methods for Human Identification in Single-Channel SAR Data 基于光谱图的单通道SAR数据中人的识别方法
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298791
S. Gurbuz, W. Melvin, Douglas B. Williams
{"title":"Spectrogram-Based Methods for Human Identification in Single-Channel SAR Data","authors":"S. Gurbuz, W. Melvin, Douglas B. Williams","doi":"10.1109/SIU.2007.4298791","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298791","url":null,"abstract":"Radar offers unique advantages over other sensors, such as visual or seismic sensors, for human target detection and identification. Radar can operate far away from potential targets, and functions during the daytime as well as nighttime in virtually all weather conditions. In this paper, we examine the problem of human target detection and identification using single-channel synthetic aperture radar (SAR) data. A 12-point human model, together with kinematic equations of motion for each body part, is used to calculate the expected target return and spectrogram. The unique characteristics of the human spectrogram are analysed and used to design a prototype for an automated gender discrimination scheme. Simulation results show a 83.97% detection rate for males and 91.11% detection rate for females. Inherent deficiencies of spectrogram-based methods are discussed. Future work will focus on the development of an alternative solution for overcoming these deficiencies.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"95 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":"126749166","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
Artificial Bee Colony (ABC) Algorithm on Training Artificial Neural Networks 训练人工神经网络的人工蜂群(ABC)算法
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298679
D. Karaboğa, B. Akay
{"title":"Artificial Bee Colony (ABC) Algorithm on Training Artificial Neural Networks","authors":"D. Karaboğa, B. Akay","doi":"10.1109/SIU.2007.4298679","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298679","url":null,"abstract":"In this work, performance of the artificial bee colony algorithm, a recently proposed algorithm, has been tested on training on artificial neural networks which are widely used in signal processing applications and the performance of the algorithm has been compared to differential evolution and particle swarm optimization algorithms which are also population-based algorithms. Results show that ABC algorithm outperforms the other algorithms.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"85 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":"123004066","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: 182
Towards Cognitive Telecommunication Networks 走向认知电信网络
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298864
M. Safak
{"title":"Towards Cognitive Telecommunication Networks","authors":"M. Safak","doi":"10.1109/SIU.2007.4298864","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298864","url":null,"abstract":"This paper presents an overview of the state-of-the-art technologies for future communication networks in order to satisfy complex and ever increasing user requirements. The new communication networks will be heterogeneous, embrace cognitivity and cross-layer protocol designs and permit interoperability between cellular systems, wireless local area networks, wireless personal area networks, worldwide interoperability for microwave access (WiMax) systems, sensor networks and digital audio and video broadcasting services.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"388 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":"114467450","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
Development of a Software Testbed for Integrated Navigation Systems 集成导航系统软件测试平台的开发
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298645
T. Sonmez, Gokcen Aslan
{"title":"Development of a Software Testbed for Integrated Navigation Systems","authors":"T. Sonmez, Gokcen Aslan","doi":"10.1109/SIU.2007.4298645","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298645","url":null,"abstract":"In today's navigation systems different types of sensors are integrated. This integration may include inertial sensors, global navigation satellite systems, radar altimeter, barometric altimeter, digital terrain maps and etc. Mostly a Kalman filter is designed to fuse the sensor data and to calculate the navigation data. In order to validate and test the integration algorithm, a comprehensive software testbed has to be developed. In this paper, we develop such a testbed for integrated navigation systems where the sensor data is modeled with real time errors. Using this testbed it is possible to try different scenarios in the software environment for any navigation system whereas to test such scenarios with the hardware systems is too costly and even may be impossible. This testbed is also suitable for performing Monte-Carlo simulations and covariance analysis. A well-known terrain referenced navigation algorithm, TERCOM, is tested with this software testbed.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"51 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":"121922113","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
Investigating Effects of Wavelet Entropy Detailed Measures in Heart Rate Variability Analysis 小波熵细节测度在心率变异性分析中的作用研究
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298814
Y. Isler, M. Kuntalp
{"title":"Investigating Effects of Wavelet Entropy Detailed Measures in Heart Rate Variability Analysis","authors":"Y. Isler, M. Kuntalp","doi":"10.1109/SIU.2007.4298814","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298814","url":null,"abstract":"In this study, wavelet entropy, which is calculated from the wavelet transform coefficients obtained from heart rate variability data, is used to distinguish the control group from the patients with congestive heart failure. Wavelet entropies are obtained from 29 patients with congestive heart failure and 54 subjects in the control group. In addition, standard heart rate variability (HRV) indices are also calculated for the whole dataset. Then, the performance of these indices in classifying these two groups is evaluated using k-Nearest Neighbor classifier and genetic algorithm. As a result, the subset of the HRV indices that increase the performance of the classifier is obtained. Using the optimal subset of HRV measures gives discrimination accuracy of 97.59%.","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":"128355374","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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