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

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Peak power minimization in symbol-level precoding for cognitive MISO downlink channels 认知MISO下行信道中符号级预编码的峰值功率最小化
2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-16 DOI: 10.1109/ICDSP.2016.7868553
Maha Alodeh, D. Spano, S. Chatzinotas, B. Ottersten
{"title":"Peak power minimization in symbol-level precoding for cognitive MISO downlink channels","authors":"Maha Alodeh, D. Spano, S. Chatzinotas, B. Ottersten","doi":"10.1109/ICDSP.2016.7868553","DOIUrl":"https://doi.org/10.1109/ICDSP.2016.7868553","url":null,"abstract":"This paper proposes a new symbol-level precoding scheme at the cognitive transmitter that jointly utilizes the data and channel information to reduce the effect of nonlinear amplifiers, by reducing the maximum antenna power under quality of service constraint at the cognitive receivers. In practice, each transmit antenna has a separate amplifier with individual characteristics. In the proposed approach, the precoding design is optimized in order to control the instantaneous power transmitted by the antennas, and more specifically to limit the power peaks, while guaranteeing some specific target signal-to-noise ratios at the receivers and respecting the interference temperature constraint imposed by the primary system. Numerical results show the effectiveness of the proposed scheme, which outperforms the existing state of the art techniques in terms of reduction of the power peaks.","PeriodicalId":206199,"journal":{"name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","volume":"181 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131444195","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
Low complexity sparse code multiple access decoder based on tree pruned method 基于树修剪方法的低复杂度稀疏码多址解码器
2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868575
Jienan Chen, Kaining Han, Jianhao Hu, Zhenbing Zhang
{"title":"Low complexity sparse code multiple access decoder based on tree pruned method","authors":"Jienan Chen, Kaining Han, Jianhao Hu, Zhenbing Zhang","doi":"10.1109/ICDSP.2016.7868575","DOIUrl":"https://doi.org/10.1109/ICDSP.2016.7868575","url":null,"abstract":"With the requirement of rapid traffic growth and tremendous access, non-orthogonal multiple access becoming a prominent technology in the current 5G research area. The sparse code multiple access (SCMA) scheme is one of the most promising technology among the non-orthogonal technologies. In this work, we propose a tree pruned method based on MAX log-message decoding algorithm (MPA) to reduce the decoding complexity of SCMA significantly. We first formulate the decoding problem to a tree updating process. By using the tree pruned method, the sub nodes with lower weight can be updated by low complexity arithmetic operations. According to the simulation result, the proposed tree pruned method reduces 30% computation complexity compared with existing methods. The results provide in this paper indicates the potential practical application of SCMA decoder.","PeriodicalId":206199,"journal":{"name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","volume":"67 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":"126029922","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
Multiple-point equalization of room impulse response based on the human perception characteristics 基于人的感知特征的房间脉冲响应多点均衡
2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868557
Dingding Yao, Qianqian Fang
{"title":"Multiple-point equalization of room impulse response based on the human perception characteristics","authors":"Dingding Yao, Qianqian Fang","doi":"10.1109/ICDSP.2016.7868557","DOIUrl":"https://doi.org/10.1109/ICDSP.2016.7868557","url":null,"abstract":"In sound reproduction system such as loudspeaker-room system, the acoustic characteristics of the room will affect sound quality. Equalization is therefore essential for room response. Besides, adding loudness conversion filter to traditional equalizer can result in an optimum effect in auditory scale. Considering the human auditory characteristics and the limitation of single-point equalization, this paper presents a new digital filtering approach with multiple-points equalization of room which realizes a good match to the psycho acoustical frequency scale of human hearing. Experimental results show that the proposed method which was based on the human auditory characteristics can obtain ideal equalization results, especially in the frequency bands where auditory system is sensitive to frequency.","PeriodicalId":206199,"journal":{"name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","volume":"75 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":"114911751","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 fast, accurate and complete 3D head mesh modeling system 一个快速，准确和完整的3D头部网格建模系统
2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868609
Jun Yu, Zengfu Wang
{"title":"A fast, accurate and complete 3D head mesh modeling system","authors":"Jun Yu, Zengfu Wang","doi":"10.1109/ICDSP.2016.7868609","DOIUrl":"https://doi.org/10.1109/ICDSP.2016.7868609","url":null,"abstract":"A real-time 3D head mesh modeling system is proposed. Firstly, the mesh model of appearance is reconstructed from multi-view visible images based on inter-regional cooperative optimization and depth super-resolution. Secondly, the mesh model of internal articulators is constructed by Magnetic Resonance Imaging. Finally, the mesh model of internal articulators is integrated to that of appearance by interpolation. The experimental results demonstrate the effectiveness of the system for fast and accurate head mesh modeling applications.","PeriodicalId":206199,"journal":{"name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","volume":"51 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":"115994662","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
Reversible image processing via reversible data hiding 通过可逆数据隐藏的可逆图像处理
2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868593
Dongdong Hou, Weiming Zhang, Zihao Zhan, Ruiqi Jiang, Yang Yang, Nenghai Yu
{"title":"Reversible image processing via reversible data hiding","authors":"Dongdong Hou, Weiming Zhang, Zihao Zhan, Ruiqi Jiang, Yang Yang, Nenghai Yu","doi":"10.1109/ICDSP.2016.7868593","DOIUrl":"https://doi.org/10.1109/ICDSP.2016.7868593","url":null,"abstract":"Image processing is a very popular and widely used technique. In this paper, we propose a framework for realizing reversible image processing, which enables that the users can return the processed image to the original copy without loss. In the proposed method, the original image is firstly processed to get the desired target image by a classic image processing method. Then the original image is reversibly processed according to the transition probability matrix, getting the processed image similar to the target image. We take histogram equalization and gamma transform as examples to show that the proposed method can realize reversible image processing and achieve nearly the same processing effect as done by irreversible image processing tools.","PeriodicalId":206199,"journal":{"name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","volume":"11 4 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":"122908025","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
Adaptive convex combination filter under minimum error entropy criterion 最小误差熵准则下的自适应凸组合滤波器
2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868512
Siyuan Peng, Zongze Wu, Yajing Zhou, Badong Chen
{"title":"Adaptive convex combination filter under minimum error entropy criterion","authors":"Siyuan Peng, Zongze Wu, Yajing Zhou, Badong Chen","doi":"10.1109/ICDSP.2016.7868512","DOIUrl":"https://doi.org/10.1109/ICDSP.2016.7868512","url":null,"abstract":"Minimum error entropy (MEE) is a robust adaption criterion and has been successfully applied to adaptive filtering, which can outperform the well-known minimum mean square error (MSE) criterion especially in the present of non-Gaussian noise. However, the adaptive algorithms under MEE are still subject to a compromise between convergence speed and steady-state mean square deviation (MSD). To address this issue, we propose in this paper an adaptive convex combination filter under MEE (CMEE), which is derived by using a convex combination of two MEE-based adaptive algorithms of different step-sizes. Monte Carlo simulation results confirm that the new algorithm can achieve fast convergence speed while keeping a desirable performance.","PeriodicalId":206199,"journal":{"name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","volume":"12 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":"121891566","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
Image denoising with expected patch log likelihood using eigenvectors of graph Laplacian 利用图拉普拉斯特征向量对图像进行期望补丁对数似然去噪
2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868596
Yibin Tang, Ying Chen, N. Xu, A. Jiang, Yuan Gao
{"title":"Image denoising with expected patch log likelihood using eigenvectors of graph Laplacian","authors":"Yibin Tang, Ying Chen, N. Xu, A. Jiang, Yuan Gao","doi":"10.1109/ICDSP.2016.7868596","DOIUrl":"https://doi.org/10.1109/ICDSP.2016.7868596","url":null,"abstract":"Recently, an Expected Patch Log Likelihood (EPLL) method is presented for image denoising, which can well restore details of natural images. However, the EPLL is viewed as a local method, and seldom takes into account the relationship among patches. In this paper, a non-local EPLL algorithm using eigenvectors of the graph Laplacian of patches is proposed to fully exploit such relationship. In detail, the eigenvectors of the graph Laplacian are incorporated as basis functions to employ the geometrical structures of patches. Meanwhile, the residual error constraint is considered to deal with the noise corruption in the iterative procedure. Sequently, an eigenvector-based EPLL problem is presented under a set of residual error constraints, and the corresponding approximate solution is efficiently provided. Experiments show that the proposed algorithm can achieve a better performance than the traditional EPLL, and is comparable with some other state-of-art denoising methods.","PeriodicalId":206199,"journal":{"name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","volume":"7 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":"124549068","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
A warning thresholds scheme with dynamic oil parameters based on lasso regression and 6sigma 基于lasso回归和6 σ的动态油参数预警阈值方案
2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868543
Yuyan Wu, Yueyang Chen, Yueting Shi, Chang Lu, Dongpeng Song
{"title":"A warning thresholds scheme with dynamic oil parameters based on lasso regression and 6sigma","authors":"Yuyan Wu, Yueyang Chen, Yueting Shi, Chang Lu, Dongpeng Song","doi":"10.1109/ICDSP.2016.7868543","DOIUrl":"https://doi.org/10.1109/ICDSP.2016.7868543","url":null,"abstract":"Dynamic early warning makes great sense for oil management to keep safety and stability of oil production. In this paper, we derive the production regression model, predict production with 10 oil parameters based on Least Absolute Shrinkage and Selection Operator (Lasso) and Least Angle Regression (LARS) methods. The 10 most relevant oil parameters are decided by the warning parameters selection method from kinds of different parameters, which makes the prediction more reliable. The accuracy of regression model achieves 97%. Then we get the warning thresholds based on 6σ. Oil parameters for warning threshold partition experiment are from the database of Tianjin oilfield. The experiment results show that our method is capable of warning both mild and severe situation, and the accuracy is 95%, which runs ahead in oil industry and has great popularization value.","PeriodicalId":206199,"journal":{"name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","volume":"9 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":"126986660","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
Adaptive speech model for missing-feature reconstruction 缺失特征重建的自适应语音模型
2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868525
H. O. Viana, A. Araujo
{"title":"Adaptive speech model for missing-feature reconstruction","authors":"H. O. Viana, A. Araujo","doi":"10.1109/ICDSP.2016.7868525","DOIUrl":"https://doi.org/10.1109/ICDSP.2016.7868525","url":null,"abstract":"This paper presents a new adaptive speech model for Missing-Feature Reconstruction using unsupervised learning for speech recognition. Hence, a neural network with time-varying structure, LARFSOM, and a FNNS algorithm to find two best matching units were used. For evaluation purposes, Aurora 2 and NOIZEUS databases were used. Experimental results indicate that the model is robust to noise without Oracle knowledge.","PeriodicalId":206199,"journal":{"name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","volume":"19 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":"114205692","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
Construction of multi-scroll chaotic attractors with exponential function 具有指数函数的多涡旋混沌吸引子的构造
2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868616
Ying Gao, Qiuhui Li, Xianhui Li, Gong-bin Qian
{"title":"Construction of multi-scroll chaotic attractors with exponential function","authors":"Ying Gao, Qiuhui Li, Xianhui Li, Gong-bin Qian","doi":"10.1109/ICDSP.2016.7868616","DOIUrl":"https://doi.org/10.1109/ICDSP.2016.7868616","url":null,"abstract":"Nonlinear function is the key to generating multi-scroll chaotic attractors. In view of this, a novel approach is presented generating multi-scroll chaotic attractors in this paper. By constructing a piecewise exponential function as the nonlinear term of Jerk system and expanding the function to multi-segment exponential function series, the index-2 equilibrium points of phase space of chaotic system are increased and different number of scroll chaotic attractors can be obtained. Some complex dynamical properties include phase diagram, equilibrium point, Lyapunov exponent spectrum, bifurcation diagram and Poincaré map are studied. The constructed function can be used in Chua system to generate multi-scroll attractors, which confirms the availability of this method.","PeriodicalId":206199,"journal":{"name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","volume":"77 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":"114318604","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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