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2015 IEEE International Conference on Digital Signal Processing (DSP)最新文献

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Optimality conditions and optimization methods for quartic polynomial optimization problems with mixed variables 混合变量四次多项式优化问题的最优性条件和优化方法
2015 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2015-07-21 DOI: 10.1109/ICDSP.2015.7251330
L. Zhang, Zhiyou Wu
{"title":"Optimality conditions and optimization methods for quartic polynomial optimization problems with mixed variables","authors":"L. Zhang, Zhiyou Wu","doi":"10.1109/ICDSP.2015.7251330","DOIUrl":"https://doi.org/10.1109/ICDSP.2015.7251330","url":null,"abstract":"Multivariate quartic polynomial optimization problems, as a special case of the general polynomial optimization, have a lot of practical applications in real world and are proved to be NP-hard. In this paper, some necessary local optimality conditions and some necessary global optimality conditions for quartic polynomial optimization problems with mixed variables are established. Then some local optimization methods, including weakly local optimization methods for general problems with mixed variables and strongly local optimization methods for quartic polynomial optimization problems with mixed variables, are proposed by exploiting these necessary local optimality conditions and necessary global optimality conditions. A global optimization method is proposed for quartic polynomial optimization problems by combining these local optimization methods together with some auxiliary functions. Some numerical examples are also given to illustrate that these approaches are very efficient.","PeriodicalId":216293,"journal":{"name":"2015 IEEE International Conference on Digital Signal Processing (DSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130319692","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 high throughput unified SVD/QRD precoder design for MIMO OFDM systems 一种用于MIMO OFDM系统的高吞吐量统一SVD/QRD预编码器设计
2015 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2015-07-21 DOI: 10.1109/ICDSP.2015.7252059
Y. Hwang, Kuan-Ting Chen, Chau-Kai Wu
{"title":"A high throughput unified SVD/QRD precoder design for MIMO OFDM systems","authors":"Y. Hwang, Kuan-Ting Chen, Chau-Kai Wu","doi":"10.1109/ICDSP.2015.7252059","DOIUrl":"https://doi.org/10.1109/ICDSP.2015.7252059","url":null,"abstract":"Precoding is an effective scheme in pre-compensating the wireless channel impairments and the singular value decomposition (SVD) scheme is a popular choice. This paper presents a unified high throughput SVD/QRD precoder chip design for MIMO OFDM systems. A hardware-implementation-friendly Givens Rotation (GR) based SVD computing scheme is developed first. It starts with a bi-diagonalization phase followed by an iterative diagonalization phase consisting of successive nullification sweeps. A convergence detection mechanism is employed to terminate the computations if the required precision is achieved. The design successfully integrates the SVD module (for precoding) with the QR decomposition (QRD) module (for MIMO signal detection) under a unified hardware framework. The design features a two-level pipelined, fully parallel architecture and CORDIC processors are employed to implement the GR modules efficiently. Various design optimization techniques are applied to reduce the circuit complexity and the power consumption. The implementation using TSMC 90nm process technology indicates a 35.75M SVDs per second throughput rate when operating at 143MHz. Both the throughput rate and the gate count efficiency of the proposed one outperform previous designs significantly.","PeriodicalId":216293,"journal":{"name":"2015 IEEE International Conference on Digital Signal Processing (DSP)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115719048","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: 12
Covariance based signal parameter estimation of coarse quantized signals 基于协方差的粗量化信号参数估计
2015 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2015-07-21 DOI: 10.1109/ICDSP.2015.7251323
Kilian Roth, Jawad Munir, A. Mezghani, J. Nossek
{"title":"Covariance based signal parameter estimation of coarse quantized signals","authors":"Kilian Roth, Jawad Munir, A. Mezghani, J. Nossek","doi":"10.1109/ICDSP.2015.7251323","DOIUrl":"https://doi.org/10.1109/ICDSP.2015.7251323","url":null,"abstract":"The use of low resolution analog-to-digital converters is an effective solution to reduce the complexity and the power consumption of the analog front-end, especially in the context of massive multiple-antenna and large system bandwidth. However, most well-known signal parameter estimation algorithms assume that the receiver has access to the observations data with infinite precision. In this paper, we investigate a method to improve the performance of covariance based algorithms that operate on quantized signals. To this end, we use a particular transformation between the input and output second order statistics when affected by non-linear processing. By applying this transformation, we could then utilize standard algorithms with almost no additional complexity. The introduced method is also of particular interest in the context of adaptive signal processing, since many adaptive processing algorithms are based on estimating the received signal covariance matrices. Through simulations, we show that the method is capable of improving the estimation performance especially in the extreme case of one-bit quantization.","PeriodicalId":216293,"journal":{"name":"2015 IEEE International Conference on Digital Signal Processing (DSP)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130124975","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
Framework and challenges for Wireless body area networks based on big data 基于大数据的无线体域网络框架与挑战
2015 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2015-07-21 DOI: 10.1109/ICDSP.2015.7251922
Yu Du, Fengye Hu, Lu Wang, Feng Wang
{"title":"Framework and challenges for Wireless body area networks based on big data","authors":"Yu Du, Fengye Hu, Lu Wang, Feng Wang","doi":"10.1109/ICDSP.2015.7251922","DOIUrl":"https://doi.org/10.1109/ICDSP.2015.7251922","url":null,"abstract":"Big Data is a concept proposed on the basis of cloud computing, referring to the large-scale distributed data processing applications that operate on exceptionally large amounts of data. Wireless body area network (WBAN) is a dynamic network with sensor nodes in, on or around the body to monitor the physical parameters. The data of these parameters is so large which we called WBAN big data that traditional methods can not process them efficiently. In this paper, we propose the overall WBAN big data processing framework, and apply MapReduce and HBase to process, store and update the WBAN big data. Two problems of WBAN big data: Interfence and storage are investigated. Taking the specific feathers of WBAN big data into consideration, the framework will satisfy the goal of processing big data in WBAN and achieve the reasonable results that we hope.","PeriodicalId":216293,"journal":{"name":"2015 IEEE International Conference on Digital Signal Processing (DSP)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134355388","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: 16
Improved expectation-maximization framework for speech enhancement based on iterative noise estimation 基于迭代噪声估计的语音增强改进期望最大化框架
2015 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2015-07-21 DOI: 10.1109/ICDSP.2015.7251877
Tingtian Li, D. Lun, T. Shen
{"title":"Improved expectation-maximization framework for speech enhancement based on iterative noise estimation","authors":"Tingtian Li, D. Lun, T. Shen","doi":"10.1109/ICDSP.2015.7251877","DOIUrl":"https://doi.org/10.1109/ICDSP.2015.7251877","url":null,"abstract":"Recently, our team developed a novel Expectation Maximization (EM) framework for speech enhancement. It gives a significantly improved estimation of the speech power spectrum that outperforms many traditional approaches. In this paper, we further extend the EM framework by including an efficient iterative noise estimation algorithm, which improves the estimation of the noise power spectrum from the noisy observation. Besides, we notice that some speech frames, particularly those with high signal to noise ratio (SNR), need to be monitored closely during the iterative enhancement process, or spectral distortion may result. A stopping criterion is thus developed to stop the iteration when a good result has been achieved. Experimental results show that the new approach gives a significant improvement over the original EM framework and also traditional speech enhancement methods.","PeriodicalId":216293,"journal":{"name":"2015 IEEE International Conference on Digital Signal Processing (DSP)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134376361","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
Improved Fourier series expansion methods for electrocardiography analysis 改进的傅立叶级数展开法用于心电图分析
2015 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2015-07-21 DOI: 10.1109/ICDSP.2015.7251955
M. Lee, Chun Nien, C. Kuan, Sao-Jie Chen, J. Chien
{"title":"Improved Fourier series expansion methods for electrocardiography analysis","authors":"M. Lee, Chun Nien, C. Kuan, Sao-Jie Chen, J. Chien","doi":"10.1109/ICDSP.2015.7251955","DOIUrl":"https://doi.org/10.1109/ICDSP.2015.7251955","url":null,"abstract":"In this work, we propose two Fourier series expansion methods (FSEM), one improved from the original FSEM and another a simplified version of the improved FSEM, to significantly enhance the accuracy of solution along with consuming less computation time and to eliminate the Gibbs phenomenon when dealing with electrocardiography (ECG).","PeriodicalId":216293,"journal":{"name":"2015 IEEE International Conference on Digital Signal Processing (DSP)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132065978","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
Decentralized power system state estimation with reduced inter-area communication 减少区域间通信的分散电力系统状态估计
2015 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2015-07-21 DOI: 10.1109/ICDSP.2015.7251322
Neelabh Kashyap, S. Werner, Yih-Fang Huang
{"title":"Decentralized power system state estimation with reduced inter-area communication","authors":"Neelabh Kashyap, S. Werner, Yih-Fang Huang","doi":"10.1109/ICDSP.2015.7251322","DOIUrl":"https://doi.org/10.1109/ICDSP.2015.7251322","url":null,"abstract":"In this paper, we present a new algorithm for decentralized state estimation in multi-area power systems. The proposed method features significantly reduced communication between areas when compared to the existing gossip-based Gauss-Newton approach. We achieve this by confining gossip iterations associated with a specific state variable to only those areas which actually observe that state variable. This increases the speed of convergence of the gossip iterations, while reducing the amount of communication required for the gossip iterations to converge. We demonstrate the efficacy of our solution with simulations on the IEEE 118-bus system with different communication models.","PeriodicalId":216293,"journal":{"name":"2015 IEEE International Conference on Digital Signal Processing (DSP)","volume":"18 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114398852","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
Real-time sociometrics from audio-visual features for two-person dialogs 实时社会计量从视听功能的两人对话
2015 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2015-07-21 DOI: 10.1109/ICDSP.2015.7251991
Yasir Tahir, Debsubhra Chakraborty, Tomasz Maszczyk, Shoko Dauwels, J. Dauwels, N. Magnenat-Thalmann, D. Thalmann
{"title":"Real-time sociometrics from audio-visual features for two-person dialogs","authors":"Yasir Tahir, Debsubhra Chakraborty, Tomasz Maszczyk, Shoko Dauwels, J. Dauwels, N. Magnenat-Thalmann, D. Thalmann","doi":"10.1109/ICDSP.2015.7251991","DOIUrl":"https://doi.org/10.1109/ICDSP.2015.7251991","url":null,"abstract":"This paper proposes a real time sociometric system to analyze social behavior from audio-visual recordings of two-person face-to-face conversations in English. The novelty of the proposed system lies in this automatic inference of ten social indicators in real time. The system comprises of a Microsoft kinect device that captures RGB and depth data to compute visual cues and microphones to capture speech cues from an on-going conversation. With these non-verbal cues as features, machine learning algorithms are implemented in the system to extract multiple indicators of social behavior including empathy, confusion and politeness. The system is trained and tested on two carefully annotated corpora that consist of two person dialogs. Based on leave-one-out cross-validation test, the accuracy range of developed algorithms to infer social behaviors is 50% - 86% for audio corpus, and 62% - 92% for audio-visual corpus.","PeriodicalId":216293,"journal":{"name":"2015 IEEE International Conference on Digital Signal Processing (DSP)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117198388","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
An interference constraint and SINR balancing based coordinated multicell beamforming 基于干扰约束和信噪比平衡的协调多小区波束形成
2015 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2015-07-21 DOI: 10.1109/ICDSP.2015.7252063
Yuehua Wu, S. Lambotharan
{"title":"An interference constraint and SINR balancing based coordinated multicell beamforming","authors":"Yuehua Wu, S. Lambotharan","doi":"10.1109/ICDSP.2015.7252063","DOIUrl":"https://doi.org/10.1109/ICDSP.2015.7252063","url":null,"abstract":"We propose a coordinated multicell beamformer design based on balancing signal-to-interference-plus-noise ratios (SINRs) to multiple levels. Instead of attaining an overall balance of SINRs for all users in all cells, the proposed algorithm allows users in various cells to achieve different maximum possible balanced SINRs subject to the individual base station transmission power. The uplink-downlink duality is used for converting the downlink problem into the uplink beamformer design problem and the overall problem is solved at multiple stages with various interference constraints.","PeriodicalId":216293,"journal":{"name":"2015 IEEE International Conference on Digital Signal Processing (DSP)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116075226","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
Informed Single Channel Speech Separation with time-frequency exemplar GMM-HMM model 基于时频样例GMM-HMM模型的通知单通道语音分离
2015 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2015-07-21 DOI: 10.1109/ICDSP.2015.7252055
Qi Wang, W. L. Woo, S. Dlay, C. Chin, Bin Gao
{"title":"Informed Single Channel Speech Separation with time-frequency exemplar GMM-HMM model","authors":"Qi Wang, W. L. Woo, S. Dlay, C. Chin, Bin Gao","doi":"10.1109/ICDSP.2015.7252055","DOIUrl":"https://doi.org/10.1109/ICDSP.2015.7252055","url":null,"abstract":"In recent studies, the problem of Single Channel Speech Separation (SCSS) have been efficiently tackled by introducing additional cues from the original target source in the form of Informed Source Separation (ISS). In this paper, a more realistic situation is considered where an additional user/listener generated Exemplar source is introduced to aid the separation process instead of using the original target source. The Exemplar source consists of patterns that need to be transformed, extracted, regulated and calibrated to generate an utterance dependent (UD) model that could statistically represent the target source. The proposed method uses general speaker independent (SI) features along with the generated UD features are modelled and combined in a joint probability model to achieve reliable separation. Unlike most model-based approaches, the proposed method does not require Speaker Dependent training on individual sources of the mixture, and is therefore much more efficient and less restrictive.","PeriodicalId":216293,"journal":{"name":"2015 IEEE International Conference on Digital Signal Processing (DSP)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116715666","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
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