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

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Underwater image restoration based on contrast enhancement 基于对比度增强的水下图像恢复
2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868625
Hui Liu, Lap-Pui Chau
{"title":"Underwater image restoration based on contrast enhancement","authors":"Hui Liu, Lap-Pui Chau","doi":"10.1109/ICDSP.2016.7868625","DOIUrl":"https://doi.org/10.1109/ICDSP.2016.7868625","url":null,"abstract":"Low contrast and color distortion are two major problems suffered by underwater images. In this work, a novel and systematic enhancement method based on contrast enhancement is proposed to restore the degraded underwater images. The proposed method mainly contains three steps. First, the quadtree subdivision strategy is adopted to estimate the waterlight. Then we formulate a cost function and minimize it so as to find the optimal transmission map which is able to maximize the image contrast. Once the waterlight and transmission map are obtained, based on the underwater image degradation model, the backscattering effect and color distortion caused by the light attenuation along the underwater object-camera path can be corrected. Finally, to further compensate for the color loss along the surface-object propagation path, a simple but effective color correction method is applied. Experimental results demonstrate that our proposed method can achieve comparable or even better results than some state-of-the-art approaches.","PeriodicalId":206199,"journal":{"name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","volume":"14 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":"116674616","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: 21
CANDECOMP/PARAFAC decomposition based multi-dimensional nonuniform harmonic retrieval 基于CANDECOMP/PARAFAC分解的多维非均匀谐波检索
2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868539
Fuxi Wen, W. Liu
{"title":"CANDECOMP/PARAFAC decomposition based multi-dimensional nonuniform harmonic retrieval","authors":"Fuxi Wen, W. Liu","doi":"10.1109/ICDSP.2016.7868539","DOIUrl":"https://doi.org/10.1109/ICDSP.2016.7868539","url":null,"abstract":"Two CANDECOMP/PARAFAC decomposition based multi-dimensional nonuniform harmonic retrieval algorithms are derived, which are referred to as search efficient Tensor-MUSIC (SE-T-MUSIC) and generalized Tensor-ESPRIT (G-T-ESPRIT). Comparing with the conventional Tensor-MUSIC algorithm, SE-T-MUSIC reduces the computational complexity significantly in terms of the number of searching grids. On the other hand, G-T-ESPRIT is a search-free polynomial rooting based algorithm. It is a R-dimensional generalization of the conventional generalized ESPRIT approach and multidimensional optimization is not required. Furthermore, a CP decomposition based combinatorial search method is proposed to associate the estimated frequencies over R dimensions.","PeriodicalId":206199,"journal":{"name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","volume":"35 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":"123591582","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
Adaptive transmission scheme in Ka-band satellite communications ka波段卫星通信中的自适应传输方案
2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868574
Cuiqin Dai, Nan-Nan Huang, Qianbin Chen
{"title":"Adaptive transmission scheme in Ka-band satellite communications","authors":"Cuiqin Dai, Nan-Nan Huang, Qianbin Chen","doi":"10.1109/ICDSP.2016.7868574","DOIUrl":"https://doi.org/10.1109/ICDSP.2016.7868574","url":null,"abstract":"The propagated electromagnetic waves are affected severely by the weather and surrounding environment in the satellite channels, especially for Ka band where the rain attenuation has the most severe impact on the quality of transmission links. In this paper, an adaptive transmission scheme is proposed by comprehensively considering the shadow-Rican fading and rain attenuation, and a new two-state satellite channel model is presented, taking into account the dynamic characteristic of rain attenuation and the influenced degree of shadow-Rican fading. Following this, we estimate the channel state and devise adaptive algorithms suited for the channel sates of rain and clear with average shadowing respectively under simulating, computing and determining. Moreover, the system performances of the proposed scheme are investigated in terms of BER and throughput. Simulation results show that the proposed adaptive transmission scheme can effectively improve the BER and throughput performance.","PeriodicalId":206199,"journal":{"name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","volume":"111 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":"122896201","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
A variable step size constant modulus algorithm based on l0-norm for sparse channel equalization 基于10 -范数的变步长恒模稀疏信道均衡算法
2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868534
Siyang Ma, Bin Wang, Hua Peng, Ting Zhang
{"title":"A variable step size constant modulus algorithm based on l0-norm for sparse channel equalization","authors":"Siyang Ma, Bin Wang, Hua Peng, Ting Zhang","doi":"10.1109/ICDSP.2016.7868534","DOIUrl":"https://doi.org/10.1109/ICDSP.2016.7868534","url":null,"abstract":"In order to improve the convergence rate of the blind equalizer for sparse multipath channel, a l0-norm constraint blind sparse adaptive algorithm for sparse channel equalization is proposed in this paper. The constant modulus characteristics of multiple phase shift keying (MPSK) signal and the sparse property of equalizer are firstly taken into consideration to construct a new blind equalization cost function with the l0-norm penalty on the equalizer tap coefficients. Then the update formula of the tap coefficients is derived according to the gradient descent algorithm. Moreover, the iteration step is updated adaptively by drawing upon the normalized proportionate factor. Theoretical analysis and simulation results show that the proposed algorithm outperforms the existing blind equalization algorithms for sparse channel in reducing the residual inter-symbol interference (ISI) and improving convergence rate.","PeriodicalId":206199,"journal":{"name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","volume":"2 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":"123993690","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
Bifurcate repeated stop-band zeros of CIC filter CIC滤波器的分岔重复阻带零点
2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868580
F. Harris, G. Jovanovic-Dolecek
{"title":"Bifurcate repeated stop-band zeros of CIC filter","authors":"F. Harris, G. Jovanovic-Dolecek","doi":"10.1109/ICDSP.2016.7868580","DOIUrl":"https://doi.org/10.1109/ICDSP.2016.7868580","url":null,"abstract":"The frequency response of an M-tap multistage CIC filter has repeated zeros which form maximally-flat attenuation stop bands at multiples of fs/M. By a small variation in the conventional CIC architecture, these repeated zeros can be separated, and in fact they can be redistributed, to form equal-ripple, wider bandwidth, stopbands. The wider bandwidth stopband offers the option to achieve a specified stopband width with a reduced number of cascade stages.","PeriodicalId":206199,"journal":{"name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","volume":"196 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":"129314164","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
Performance estimation of sparse signal recovery under Bernoulli random projection with oracle information 基于oracle信息的伯努利随机投影稀疏信号恢复性能估计
2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868648
Ruiyang Song, Laming Chen, Yuantao Gu
{"title":"Performance estimation of sparse signal recovery under Bernoulli random projection with oracle information","authors":"Ruiyang Song, Laming Chen, Yuantao Gu","doi":"10.1109/ICDSP.2016.7868648","DOIUrl":"https://doi.org/10.1109/ICDSP.2016.7868648","url":null,"abstract":"This article discusses the performance of the oracle receiver in recovering high dimensional sparse signals, which possesses the knowledge of the signals' support set. We consider a general framework, in which the sensing matrix and the measurements are disturbed simultaneously. The entries of the sensing matrix are i.i.d. Bernoulli random variables. We introduce the lower and upper bounds of the normalized mean square error of the reconstruction, which are proved to hold with high probability and verified by numerical simulations. The result is then compared with previous works on Gaussian sensing matrices. The average recovery error is derived as a generalization of the conclusion in [12] for the Gaussian ensemble and measurement noise only case.","PeriodicalId":206199,"journal":{"name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","volume":"128 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":"121185864","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
Range ambiguity resolution for high PRF radar with random frequency hopping waveforms 随机跳频波形高PRF雷达距离模糊度分辨率
2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868518
Jiemin Hu, Dawei Lu, Zhikun Liao, Shengqi Liu, Jun Zhang
{"title":"Range ambiguity resolution for high PRF radar with random frequency hopping waveforms","authors":"Jiemin Hu, Dawei Lu, Zhikun Liao, Shengqi Liu, Jun Zhang","doi":"10.1109/ICDSP.2016.7868518","DOIUrl":"https://doi.org/10.1109/ICDSP.2016.7868518","url":null,"abstract":"In the condition of high PRF waveforms, several pulse repetition intervals are needed to receive the echoes from a target, which makes the range of the target ambiguous. In this paper, we propose a novel method for range imaging. In our method, the additional phase term produced by range ambiguity is derived, and then considered in establishing the match filter. The high resolution range profiles can be obtained by applying the match filtering step to the echoes. Simulation results demonstrate the validity of this method.","PeriodicalId":206199,"journal":{"name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","volume":"196 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":"122311320","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 new method for designing farrow filters based on cosine basis neural network 基于余弦基神经网络的深度滤波器设计新方法
2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868535
Tong Ma, Ying Wei, Xiaojie Ma
{"title":"A new method for designing farrow filters based on cosine basis neural network","authors":"Tong Ma, Ying Wei, Xiaojie Ma","doi":"10.1109/ICDSP.2016.7868535","DOIUrl":"https://doi.org/10.1109/ICDSP.2016.7868535","url":null,"abstract":"In this paper, a cosine basis neural network was proposed to design Farrow filters. Traditionally, Farrow filters are designed in a least-square sense by formulating an error function which reflects the difference between the desired variable bandwidth filter and the practical filter. The filter coefficients are obtained by solving linear equations. Consequently, complex matrix inversion is inevitable and it leads to high complexity when the order of the matrix is high. This problem is solved by the proposed simple and effective method based on cosine basis neural network which convert the problem of coefficient solving into weights training problem.","PeriodicalId":206199,"journal":{"name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","volume":"18 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":"116509225","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
Knowledge transfer between networks and its application on gait recognition 网络间知识转移及其在步态识别中的应用
2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868606
Muhammad Rauf, Chunfeng Song, Yongzhen Huang, Liang Wang, Ning Jia
{"title":"Knowledge transfer between networks and its application on gait recognition","authors":"Muhammad Rauf, Chunfeng Song, Yongzhen Huang, Liang Wang, Ning Jia","doi":"10.1109/ICDSP.2016.7868606","DOIUrl":"https://doi.org/10.1109/ICDSP.2016.7868606","url":null,"abstract":"Convolutional neural network (CNN) has achieved promising results in many vision tasks. However, a deep CNN model requires long training process and consumes large amounts of storage space. In this paper we propose a novel framework to boost the speed and reduce the size of CNN based models, and to test it on the human gait recognition task. The idea is to develop a small and fast fully connected network (FCN) which retains the learning ability of the original large CNN. Specially, we build a large CNN model, and train with gait gallery data to obtain parameters of each layer. Then we design a small FCN that inherit the softmax weight matrix from the CNN, and use the gallery data to generate parameters of rest of the layers for the FCN. We use CASIA Gait Dataset B to evaluate the proposed framework, and test the performance under multiple covariate factors. The experimental results suggest that the extended FCN is able to retain most of the learning abilities from the large CNN model. Comparing with CNN, the extended FCN has reduced size with significant speed boost.","PeriodicalId":206199,"journal":{"name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","volume":"41 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":"126796602","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
A new method for semantic consistency verification of aviation radiotelephony communication based on LSTM-RNN 一种基于LSTM-RNN的航空无线通信语义一致性验证新方法
2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868592
Yujun Lu, Yihua Shi, Guimin Jia, Jinfeng Yang
{"title":"A new method for semantic consistency verification of aviation radiotelephony communication based on LSTM-RNN","authors":"Yujun Lu, Yihua Shi, Guimin Jia, Jinfeng Yang","doi":"10.1109/ICDSP.2016.7868592","DOIUrl":"https://doi.org/10.1109/ICDSP.2016.7868592","url":null,"abstract":"In Aviation Radiotelephony Communication (ARC), the incorrect readback between pilots and air traffic controllers has a vital effect on aircraft flight safety. To make aircraft safer in aviation, International Civil Aviation Organization (ICAO) has improved the communication standard of air traffic. However, the accidents caused by incorrect readback of ARC still happen unavoidably. To reduce the risk of incorrect readback, this paper proposes a method verifying the semantic consistency of the ARC. We firstly apply Recurrent Neural Network (RNN) and Long Short-Term memory Recurrent Neural Network (LSTM-RNN) to extract the semantic meaning of ARC and represent it with semantic vector, and then add a sigmoid layer at the output of RNN or LSTM-RNN to verify the semantic consistency. The RNN or LSTM-RNN are trained in a supervised learning method. We evaluate the proposed architecture on ARC corpus. The experimental results show that the proposed method is effective in semantic consistency verification of ARC, and LSTM-RNN outperforms the RNN in this task.","PeriodicalId":206199,"journal":{"name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","volume":"2013 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":"127388856","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: 14
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