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2012 IEEE 11th International Conference on Signal Processing最新文献

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TV band cognitive system interference cancellation based on spread spectrum LDPC codes 基于扩频LDPC码的电视频带认知系统干扰消除
2012 IEEE 11th International Conference on Signal Processing Pub Date : 2012-10-01 DOI: 10.1109/ICOSP.2012.6491861
Kaiyao Wang, Yang Xiao
{"title":"TV band cognitive system interference cancellation based on spread spectrum LDPC codes","authors":"Kaiyao Wang, Yang Xiao","doi":"10.1109/ICOSP.2012.6491861","DOIUrl":"https://doi.org/10.1109/ICOSP.2012.6491861","url":null,"abstract":"In the cable television covered area, the CUs (cognitive users) will face the problem of TV signals interference in TV band; it means the CU cannot effectively utilize the spectrum hole of TV band. In order to solve this problem, this paper proposes an interference cancellation method for cognitive system based on spread spectrum LDPC codes. In the cable television covered area, a small-scale cognitive system has eliminated the need for receiving TV signals; the CUs can use the TV band to communicate by using the proposed scheme. Protograph LDPC codes and spread spectrum are applied to cognitive system in the proposed scheme, the information transmission can be of the anti-interference ability and error correcting capability through channel coding and spread spectrum mapping, which can cancel TV signals interference and channel noise interference. The simulation results in Rayleigh flat-fading channel show that, comparing with cognitive system without the proposed method, the proposed approach can effectively cancel TV signals interference and channel noises interference, and obtain about 11dB coding gain.","PeriodicalId":143331,"journal":{"name":"2012 IEEE 11th International Conference on Signal Processing","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114931665","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
Generalized ambiguity function analysis of MIMO SAR MIMO SAR的广义模糊函数分析
2012 IEEE 11th International Conference on Signal Processing Pub Date : 2012-10-01 DOI: 10.1109/ICOSP.2012.6491913
W. Zhou, Haowen Chen, Weidong Jiang, Hongqiang Wang
{"title":"Generalized ambiguity function analysis of MIMO SAR","authors":"W. Zhou, Haowen Chen, Weidong Jiang, Hongqiang Wang","doi":"10.1109/ICOSP.2012.6491913","DOIUrl":"https://doi.org/10.1109/ICOSP.2012.6491913","url":null,"abstract":"A newly developing conception of Synthetic aperture radar (SAR) based on Multi-Input Multi-Output (MIMO) array has drawn much attention for its potential advantages to simultaneously improve the performance of static scene imaging and ground moving target indication (GMTI) by utilizing multiple antennas both at transmission and reception. To better exploit the potential benefits of MIMO SAR, we extend the idea of generalized ambiguity function (GAF) in conventional single or multi-channel SAR to MIMO SAR in this paper. The GAF is developed to simultaneously characterize the effects of array geometry and waveform sets on resolution performance. Some simulation experiments are carried out to illustrate the effectiveness of the analysis.","PeriodicalId":143331,"journal":{"name":"2012 IEEE 11th International Conference on Signal Processing","volume":"203 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115563780","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: 6
A fast calibration method of optical microscopes 一种光学显微镜快速定标方法
2012 IEEE 11th International Conference on Signal Processing Pub Date : 2012-10-01 DOI: 10.1109/ICOSP.2012.6491735
Jianjun Pan, Yanzhao Niu, Yanjing Xing
{"title":"A fast calibration method of optical microscopes","authors":"Jianjun Pan, Yanzhao Niu, Yanjing Xing","doi":"10.1109/ICOSP.2012.6491735","DOIUrl":"https://doi.org/10.1109/ICOSP.2012.6491735","url":null,"abstract":"High precision calibration is a key procedure to ensure image measurement system has accuracy measurement results. In the micro-domain applications, such as IC packaging, optical microscopes form a critical component. Although many calibration techniques exist for macroscopic camera-lens system, there is a dearth of literature on optical microscope calibration. Optical microscope calibration has unique characteristics that are quite different from normal camera calibration, including (1) unique calibration parameters; (2) calibration patterns that must be parallel to the image plane, and (3) restriction to single-plane calibration. In this paper, a fast calibration method based on linear relations between the digital image coordinate system and the calibration sample coordinate system is proposed for optical microscopes. We select 2-D dot array calibration plate which where etched on a glass plate as calibration sample. Experiments have been performed and calibration errors have been analyzed.","PeriodicalId":143331,"journal":{"name":"2012 IEEE 11th International Conference on Signal Processing","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116407952","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: 5
Golay complementary sequences and Reed-Muller codes based PAPR reduction for relay networks with superimposed training 基于叠加训练中继网络的Golay互补序列和Reed-Muller码PAPR约简
2012 IEEE 11th International Conference on Signal Processing Pub Date : 2012-10-01 DOI: 10.1109/ICOSP.2012.6491871
Ge Bai, Z. Zhong, R. Xu, Gongpu Wang, Zhiyong Qin
{"title":"Golay complementary sequences and Reed-Muller codes based PAPR reduction for relay networks with superimposed training","authors":"Ge Bai, Z. Zhong, R. Xu, Gongpu Wang, Zhiyong Qin","doi":"10.1109/ICOSP.2012.6491871","DOIUrl":"https://doi.org/10.1109/ICOSP.2012.6491871","url":null,"abstract":"Thanks to relay network having the advantage of diversity and signal covering, lots of researches that require perfect channel estimation on relay network is undertaken. The superimposed training technique can estimate both the channel between source and relay and the channel between relay and destination pretty well. However, with orthogonal frequency division multiplexing (OFDM) being widely used, peak-to-average power ratio (PAPR) must be concerned. In this work, we apply a coding scheme based on Golay complementary sequences and Reed-Muller (RM) Codes into the system to reduce PAPR. Simulation results show that the proposed scheme does well in PAPR reduction.","PeriodicalId":143331,"journal":{"name":"2012 IEEE 11th International Conference on Signal Processing","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122375671","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: 10
On performance of Vector OFDM with Zero-Forcing receiver 零强迫接收机的矢量OFDM性能研究
2012 IEEE 11th International Conference on Signal Processing Pub Date : 2012-10-01 DOI: 10.1109/ICOSP.2012.6491860
Yabo Li, I. Ngebani, X. Xia
{"title":"On performance of Vector OFDM with Zero-Forcing receiver","authors":"Yabo Li, I. Ngebani, X. Xia","doi":"10.1109/ICOSP.2012.6491860","DOIUrl":"https://doi.org/10.1109/ICOSP.2012.6491860","url":null,"abstract":"Vector OFDM (Orthogonal Frequency Division Multiplexing) for single transmit antenna systems is a general transmission scheme, where OFDM and SC-FDE (Single-Carrier Frequency Domain Equalization) can be treated as two special/extreme cases. Due to its flexibility, it has drawn more and more attention recently. So far, all the studies about Vector OFDM assume the ML (Maximum Likelihood) receiver. In this paper, we investigate the performance of Vector OFDM with the ZF (Zero-Forcing) receiver. We firstly show that for the ZF receiver, all the transmitted symbols have equal performance. This is different from the Vector OFDM with ML receiver, where different VBs may have different coding gain, and thus may have different performances. We then analyze the diversity order for Vector OFDM with ZF receiver, and show that the diversity order equals 1 and the performance is the same as the conventional OFDM at high SNR.","PeriodicalId":143331,"journal":{"name":"2012 IEEE 11th International Conference on Signal Processing","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122673190","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
Multi-feature fusion based GMM for moving object and shadow detection 基于多特征融合的GMM运动目标和阴影检测
2012 IEEE 11th International Conference on Signal Processing Pub Date : 2012-10-01 DOI: 10.1109/ICOSP.2012.6491774
Tingting Xue, Yanjiang Wang, Yujuan Qi
{"title":"Multi-feature fusion based GMM for moving object and shadow detection","authors":"Tingting Xue, Yanjiang Wang, Yujuan Qi","doi":"10.1109/ICOSP.2012.6491774","DOIUrl":"https://doi.org/10.1109/ICOSP.2012.6491774","url":null,"abstract":"Shadow detection and removal plays an important role in segregating an object from background accurately. Traditional object and shadow detection algorithm based on single feature such as color is easily restricted by the scene and illumination changes. In this paper, a multi-feature fusion based Gaussian mixture background modeling method is proposed to lower the false detection rate using single feature by integrating color and texture. And then a double shadow judgment method is proposed to determine the suspected shadow and the true shadow. Firstly, the shadow is determined by the color angle of shadows, then, the shadow is detected according to the brightness between the shadow region and the background. Finally, the two results of shadow detection are combined, which offers a double guarantee for the accurate removal of shadow.","PeriodicalId":143331,"journal":{"name":"2012 IEEE 11th International Conference on Signal Processing","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122773999","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
An improved phase-error based dual-microphone noise reduction method 一种改进的基于相位误差的双麦克风降噪方法
2012 IEEE 11th International Conference on Signal Processing Pub Date : 2012-10-01 DOI: 10.1109/ICOSP.2012.6491526
Hao Chen, C. Bao, Bingyin Xia
{"title":"An improved phase-error based dual-microphone noise reduction method","authors":"Hao Chen, C. Bao, Bingyin Xia","doi":"10.1109/ICOSP.2012.6491526","DOIUrl":"https://doi.org/10.1109/ICOSP.2012.6491526","url":null,"abstract":"In this paper, an improved phase-error based filter (IPBF) for dual-microphone noise reduction is proposed. First, instead of the Wiener filter, a statistical-model-based amplitude estimator is employed in IPBF algorithm to make further reduction of the directional noise. Then, in order to take advantage of the single channel speech enhancement method and the PBF method, we present a decision rule to merge the spectral gains of these two methods, which is very effective in the reduction of musical noise caused by the PBF algorithm and the performance of the directional noise reduction is not corrupted at the same time. Experimental results show that the proposed method outperforms two reference methods.","PeriodicalId":143331,"journal":{"name":"2012 IEEE 11th International Conference on Signal Processing","volume":"237 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114434405","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
Track fusion algorithm of emitters-carried platform in ESM system ESM系统中发射器携带平台航迹融合算法
2012 IEEE 11th International Conference on Signal Processing Pub Date : 2012-10-01 DOI: 10.1109/ICOSP.2012.6492041
H. Li, H. Cao, Z.X. Zhou, Y. Zhang, C. Qu
{"title":"Track fusion algorithm of emitters-carried platform in ESM system","authors":"H. Li, H. Cao, Z.X. Zhou, Y. Zhang, C. Qu","doi":"10.1109/ICOSP.2012.6492041","DOIUrl":"https://doi.org/10.1109/ICOSP.2012.6492041","url":null,"abstract":"Target information could be obtained by detecting the electromagnetic radiation from the emitters implemented on the target in electronic support measures (ESM) system. When multiple radiation sources equipped on the same platform, the signals could be sorted and processed to form tracks separately, which reveals motion information of that platform. Therefore, those tracks should be associated and fused. In this paper, the dual threshold method is used to associate the location information of radiation sources, and the value of threshold is discussed. Furthermore, track association is confirmed with the attribute information of targets. Finally, the Bar Shalom-Campo algorithm is used for track fusion so as to form a systematic track of the platform target. Simulation results demonstrated that the method proposed in this paper can reduce the track information redundancy effectively as well as improve the target tracking accuracy.","PeriodicalId":143331,"journal":{"name":"2012 IEEE 11th International Conference on Signal Processing","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129712323","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
Dental contour extraction using window empirical mode decomposition 基于窗经验模态分解的牙齿轮廓提取
2012 IEEE 11th International Conference on Signal Processing Pub Date : 2012-10-01 DOI: 10.1109/ICOSP.2012.6491713
W. Liu, Guoxia Sun, Huiqiang Sun, Hui Li
{"title":"Dental contour extraction using window empirical mode decomposition","authors":"W. Liu, Guoxia Sun, Huiqiang Sun, Hui Li","doi":"10.1109/ICOSP.2012.6491713","DOIUrl":"https://doi.org/10.1109/ICOSP.2012.6491713","url":null,"abstract":"Medical images with fuzzy and non-uniform characteristics make it difficult to accurately extract target contour, aiming at this problem, an improved method is proposed to detect the dental contour of a single-teeth X-ray film segmented from a bitewing radiograph. Three necessary steps are to be performed, the first of which is to enhance the contrast of the medical X-ray image based on human visual properties after denoised with morphology open-close filter, the second to get the first intrinsic mode function from the empirical mode decomposition with a square-adaptive sliding window of the enhanced image, and the third to detect and threshold the edge of the intrinsic mode function. Some results of experiments have confirmed the efficiency of our proposed method.","PeriodicalId":143331,"journal":{"name":"2012 IEEE 11th International Conference on Signal Processing","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129757001","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
Facial expression recognition based on tensor local linear discriminant analysis 基于张量局部线性判别分析的面部表情识别
2012 IEEE 11th International Conference on Signal Processing Pub Date : 2012-10-01 DOI: 10.1109/ICOSP.2012.6491797
Zhan Wang, Q. Ruan, Gaoyun An
{"title":"Facial expression recognition based on tensor local linear discriminant analysis","authors":"Zhan Wang, Q. Ruan, Gaoyun An","doi":"10.1109/ICOSP.2012.6491797","DOIUrl":"https://doi.org/10.1109/ICOSP.2012.6491797","url":null,"abstract":"Linear discriminant analysis (LDA) is an effective method for solving the classification problems. Many based-discriminant analysis approaches have been proposed to extract more discriminant information and try to overcome the limitation of LDA. Local linear discriminant analysis (LLDA) was proposed to capture the local structure of samples, it can overcome the assumption of Gaussian distribution which emerge in traditional LDA. In this paper, we proposed tensor version of LLDA, tensorLLDA not only can avoid the undersampled problem which appear in LDA and LLDA, but also reduce the computation complexity. Experiment on JAFFE facial expression database and Cohn-Kanade facial expression database show the effectiveness of tensorLLDA.","PeriodicalId":143331,"journal":{"name":"2012 IEEE 11th International Conference on Signal Processing","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128410218","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
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