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2016 IEEE International Conference on Digital Signal Processing (DSP)最新文献

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Accurate and robust device-free localization approach via sparse representation in presence of noise and outliers 在噪声和异常值存在的情况下，通过稀疏表示实现精确和鲁棒的无设备定位方法
2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868545
Disong Wang, Xiansheng Guo, Yuexian Zou
{"title":"Accurate and robust device-free localization approach via sparse representation in presence of noise and outliers","authors":"Disong Wang, Xiansheng Guo, Yuexian Zou","doi":"10.1109/ICDSP.2016.7868545","DOIUrl":"https://doi.org/10.1109/ICDSP.2016.7868545","url":null,"abstract":"Device-free localization (DFL) aims at locating the positions of targets without carrying any emitting devices by monitoring the received signals of preset wireless devices. Research showed that the localization accuracy of conventional DFL algorithms decreases in presence of noise and outliers. To tackle this problem, this paper firstly proposes to study the DFL via sparse representation and the target localization is formulated as a sparse representation classification (SRC) problem. Specifically, an overcomplete sample dictionary is constructed by received signal strength and the target can be located by SRC method. To suppress the adverse impact of noise and outliers, we formulate the DFL-SRC problem in signal subspace. Two DFL algorithms termed as SDSRC and SSDSRC are derived. Experimental results with real recorded data and simulated interferences demonstrate that SDSRC and SSDSRC outperform the nonlinear optimization approach with outlier link rejection in terms of localization accuracy and robustness to noise and outliers.","PeriodicalId":206199,"journal":{"name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121934630","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: 13
An adaptive sparse subsampling matrix design strategy for compressive sensing SAR 压缩感知SAR的自适应稀疏子采样矩阵设计策略
2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868647
Tengfei Li, Qingjun Zhang
{"title":"An adaptive sparse subsampling matrix design strategy for compressive sensing SAR","authors":"Tengfei Li, Qingjun Zhang","doi":"10.1109/ICDSP.2016.7868647","DOIUrl":"https://doi.org/10.1109/ICDSP.2016.7868647","url":null,"abstract":"With the rapid development and demanding requirement of high resolution and wide swath synthetic aperture radar (SAR), the volume of data acquisition becomes increasingly large as well as higher hardware complexity. Compressive Sensing (CS) theory, as an effective and accurate signal reconstruction technique, employs an extremely smaller set of measurements than what is typically considered necessary by Nyquist-Shannon sampling theorem. In this paper, an adaptive sparse subsampling matrix design strategy is presented and analyzed. By utilizing this adaptive measurement matrix strategy, not only is the signal recovery exact, but also the storage requirement of subsampling matrix and the computational complexity of generating linear measurement vector are significantly reduced, so that large-scale SAR signal recovery is spatially and temporally feasible. The validity of the proposed strategy is verified by sparse scene simulation results with multi-point targets.","PeriodicalId":206199,"journal":{"name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130735918","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 novel gamma correction approach using optimally clipped sub-equalization for dark image enhancement 一种新颖的伽玛校正方法，使用最佳裁剪次均衡用于暗图像增强
2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868607
Himanshu Singh, N. Agrawal, Anil Kumar, G. Singh, Heung-no Lee
{"title":"A novel gamma correction approach using optimally clipped sub-equalization for dark image enhancement","authors":"Himanshu Singh, N. Agrawal, Anil Kumar, G. Singh, Heung-no Lee","doi":"10.1109/ICDSP.2016.7868607","DOIUrl":"https://doi.org/10.1109/ICDSP.2016.7868607","url":null,"abstract":"In this paper, an efficient statistical approach employing a highly adaptive gamma correction based on adaptively clipped and locally equalized histogram using mean-median statistical pair, is presented for the enhancement of low contrast dark images without losing their intrinsic features. For this purpose, linearly stretched intensity range segmentation, first based on median and mean distribution sub-histograms are derived for local equalization after optimal clipping. Later on, non-linear transformational mapping has been imposed by suitable gamma-correction using the required gamma value-set, which itself is derived by cumulative distribution of the intensity values in adaptively equalized histogram. The proposed methodology clearly outperforms the other state-of-the-art methods in terms of complexity as well as quantitative and qualitative performance; and hence, can be appreciably used for a wide and dynamic range of image-database belonging to various domains ranging from biomedical images to remotely sensed satellite images.","PeriodicalId":206199,"journal":{"name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122105814","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: 29
Efficient adaptive successive cancellation list decoders for polar codes 极性码的高效自适应逐次消列解码器
2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868549
W. Song, Chuan Zhang, Shunqing Zhang, X. You
{"title":"Efficient adaptive successive cancellation list decoders for polar codes","authors":"W. Song, Chuan Zhang, Shunqing Zhang, X. You","doi":"10.1109/ICDSP.2016.7868549","DOIUrl":"https://doi.org/10.1109/ICDSP.2016.7868549","url":null,"abstract":"As improved versions of the successive cancellation (SC) decoder, the adaptive SC list (SCL) decoder and the segmented CRC-aided SCL (SCA-SCL) decoder can achieve notable complexity reduction compared to the traditional SCL one. However, the former only shows good reduction in high SNR region whereas the latter only works good in low SNR region. To this end, two novel efficient adaptive SCL decoding schemes are proposed to achieve good complexity reduction in both low and high SNR regions. The first one is adaptive SCA-SCL (ASCA-SCL) decoder, which is based on SCA-SCL but with varying list size. The second one is adaptive switching SCL (AS-SCL) decoder, whose list reduction metric switches with regarding to specific SNR value. Numerical results have shown that for (1024, 512) polar code and list size L = 2, compared to the state-of-the-art decoder, the proposed ASCA-SCL decoder and AS-SCL decoder can achieve up to 45.40% and 32.39% computational complexity reduction respectively, while keeping the similar decoding performance.","PeriodicalId":206199,"journal":{"name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122541984","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
Practical considerations on optimising multistage decimation and interpolation processes 优化多级抽取和插值过程的实际考虑
2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868581
Xiangyu Zhu, Yonghao Wang, Wei Hu, J. Reiss
{"title":"Practical considerations on optimising multistage decimation and interpolation processes","authors":"Xiangyu Zhu, Yonghao Wang, Wei Hu, J. Reiss","doi":"10.1109/ICDSP.2016.7868581","DOIUrl":"https://doi.org/10.1109/ICDSP.2016.7868581","url":null,"abstract":"Multistage filter design is a complex multidimensional optimisation problem. The formulae for optimal design generally yield non-integer real numbers for the sample-rate-changing factors of multiple stages. Approaches yielding useful integer results have high computational cost and do not consider important multistage filter design properties. We have developed a simplified algorithm for directly searching the optimal integer results. Considering the most useful practical design parameters, optimal results can be approximated with a limited number of sets for any designs satisfying certain constraints, with negligible costs. This vastly simplifies the complexity of the problem.","PeriodicalId":206199,"journal":{"name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124074287","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 volumetric approach to biased estimation: Demonstration on shrinkage estimators 偏置估计的体积方法:对收缩估计器的论证
2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868637
Can Bikcora, S. Weiland
{"title":"A volumetric approach to biased estimation: Demonstration on shrinkage estimators","authors":"Can Bikcora, S. Weiland","doi":"10.1109/ICDSP.2016.7868637","DOIUrl":"https://doi.org/10.1109/ICDSP.2016.7868637","url":null,"abstract":"This work proposes a new approach, named as the volumetric design (VD), of developing biased estimators of deterministic parameters that are known in advance to belong to a compact subset in the parameter space. For analytical tractability, this approach is demonstrated on the choice of the shrinkage parameter of an estimator that scales the celebrated minimum variance unbiased estimator (MVUE) towards zero, where a spherical set is taken as the a priori knowledge on the parameters and the mean-squared error is adopted as the performance measure. Similar to the existing methods of the minimax (MX) and the deepest minimum criterion (DMC) estimators, the VD estimator also belongs to the class of admissible estimators that dominate the MVUE on the provided parameter (spherical) set. However, as its fundamental difference, it corresponds to the estimator that has the largest total relative volume on which it dominates the other estimators in this class, thereby achieving the best volumetric robustness in this manner.","PeriodicalId":206199,"journal":{"name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","volume":"15 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120988006","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 cultural bacterial foraging algorithm for spectrum sensing of cognitive radio 一种用于认知无线电频谱感知的培养细菌觅食算法
2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868614
Hongyuan Gao, Yanan Du, Yansong Liang
{"title":"A cultural bacterial foraging algorithm for spectrum sensing of cognitive radio","authors":"Hongyuan Gao, Yanan Du, Yansong Liang","doi":"10.1109/ICDSP.2016.7868614","DOIUrl":"https://doi.org/10.1109/ICDSP.2016.7868614","url":null,"abstract":"In order to solve spectrum sensing problem, this paper proposes a cultural bacterial foraging algorithm (CBFA) based on bacterial foraging optimization algorithm (BFOA) and knowledge strategy of cultural algorithm. The proposed CBFA applies the knowledge strategy and new movement equations to bacterial foraging optimization, and thus has the advantages of low computational complexity and fast convergence. As a key step of CBFA, chemotactic movement is modelled as guiding cultural behaviour and thus may improve the capability of BFOA to find the optimum solution. Then we applied the proposed CBFA in cooperative spectrum sensing of cognitive radio (CR). We compare the performance of the proposed CBFA with classical BFOA, shuffled frog leaping algorithm (SFLA) and particle swarm optimization (PSO). The simulation results show that CBFA has a better searching speed and an obvious improvement in accuracy.","PeriodicalId":206199,"journal":{"name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","volume":" 39","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132188102","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
Marker gene identification for gene expression analysis — Review and new findings for Diffused Large B Cell Lymphoma (DLBCL) 基因表达分析的标记基因鉴定-弥漫性大B细胞淋巴瘤(DLBCL)的综述和新发现
2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868571
Xiguang Wei, Ho-Chun Wu, S. Chan
{"title":"Marker gene identification for gene expression analysis — Review and new findings for Diffused Large B Cell Lymphoma (DLBCL)","authors":"Xiguang Wei, Ho-Chun Wu, S. Chan","doi":"10.1109/ICDSP.2016.7868571","DOIUrl":"https://doi.org/10.1109/ICDSP.2016.7868571","url":null,"abstract":"Cancer is a remarkabe disease characterized with the de-rdgulation of various genetic pathways. The identification of gene markers, some of which carry signatures to clinical relevant physiological effects, sheds light on the development of various clinical applications. A major challenge in marker gene identification is the biological and statistical variability. In particular, we highlight state-of-the-art methodologies and the latest challenges in marker gene identification from gene microarray data. Moreover, we illustrate the use of a partial least square based approach for identifying gene markers from a Diffuse Large B Cell Lymphoma gene microarray dataset and present new findings.","PeriodicalId":206199,"journal":{"name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132337203","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 algorithm for frequency estimation based on frequency searching 一种基于频率搜索的频率估计新算法
2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868550
Yingtai Li, Jin Zhao, Jianzhuang Li, Xin Lei, Yiru Fu
{"title":"A new algorithm for frequency estimation based on frequency searching","authors":"Yingtai Li, Jin Zhao, Jianzhuang Li, Xin Lei, Yiru Fu","doi":"10.1109/ICDSP.2016.7868550","DOIUrl":"https://doi.org/10.1109/ICDSP.2016.7868550","url":null,"abstract":"The precise estimation of the frequency of the signal is of great significance in many areas of application. In this paper, a new algorithm for estimating the frequency of one real tone in noise from a block of N uniformly spaced samples is proposed. This algorithm is based on the fundamental principle of the DFT. As a stand-alone algorithm, this estimator provides excellent performance but the computation is more complex comparatively when operate independently. This estimator can also cooperate with other estimators, which reduces the computational complexity efficiently without performance reduction.","PeriodicalId":206199,"journal":{"name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127374660","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
A novel range profile synthesis method for random hopping frequency radar 一种新的随机跳频雷达距离像合成方法
2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868520
Zhikun Liao, Dawei Lu, Jiemin Hu, Jun Zhang
{"title":"A novel range profile synthesis method for random hopping frequency radar","authors":"Zhikun Liao, Dawei Lu, Jiemin Hu, Jun Zhang","doi":"10.1109/ICDSP.2016.7868520","DOIUrl":"https://doi.org/10.1109/ICDSP.2016.7868520","url":null,"abstract":"A random distribution over the bandwidth makes the random hopping frequency radar widely use in the synthetic wideband application as stepped-frequency radar. However, the traditional inverse fast Fourier transform is not able to achieve range compression due to the random modulation. In this paper, firstly, the echo of the random hopping frequency radar is derived, and an efficient range imaging method is proposed. Then, the range-velocity ambiguity function of random hopping frequency radar using correlation algorithm is depicted to reveal the coupling interrelationship of the range and Doppler. At last, Monte Carlo simulations are carried on to estimate the relation between side-lobe level and the number of frequencies. At the same time, the theoretical prediction formula provides a solid proof for it.","PeriodicalId":206199,"journal":{"name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124793136","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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