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检索条件"机构=Tianjin Key Laboratory of Intelligent Signal and Image Processing"

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Tunnel morph model for time frequency bio-signal waveform processing

Tunnel morph model for time frequency bio-signal waveform pr...

引用

Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Gang Zheng Shiliu Lian Shanling Mou Jia Qi Laboratory of Biological Signal and Intelligent Processing Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology Tianjin China Tianjin University of Technology Tianjin CN China

In this paper, we proposed a tunnel morph model for bio-signal waveform in measuring their similarity. Firstly, the formal specifications of bio-signal waveforms are given. And then, a series of model establishing related definitions are presented. These definitions contain waveform segmentation; waveforms distance measurement, and tunnel width computation. Moreover, on the base of the model, a similarity measuring strategy which takes the curve feature of bio-signal into account was presented. In the end, the strategy was compared with other similarity measurement methods by AECG (Ambulatory Electrocardiogram) waveform data. The data are adopted from MIT/BIH arrhythmia database. Experiment results show that the sensitivity and the positive predictivity of the strategy based on tunnel morph model are prior to other strategies.

关键词： Electrocardiography Equations Biological system modeling Correlation Sensitivity Mathematical model

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Tangram Algorithm:High image Quality Secret Sharing Scheme Using Two Steganographic images

Tangram Algorithm:High Image Quality Secret Sharing Scheme U...

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2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)

作者： Wanli Lyu Jiahao Deng Yu Zhang Dongshuo Yin Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and TechnologyAnhui UniversityKey Lab of Industrial Image Processing and Analysis of Anhui Province

ISBN: (纸本)9781510871076

In this paper,our proposed scheme using two steganography *** other data hiding schemes,this scheme studies the characteristics of the Tangram puzzle model and the secret message bytes that make up the eight binary bits that are hidden into the two *** matrix M *,horizontal and vertical coordinate range from 0 to 255,and the pixel pairs in the cover image are used to help hide the secret message bytes in our *** paired pixel points into single and double number hidden in two *** show that the program can hide relatively more pixels in a cover image with less losing image quality.

关键词： steganography images Tangram puzzle matrix M* hide relatively scenario

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A Reliable Data Hiding Scheme Using Jigsaw Sudoku

A Reliable Data Hiding Scheme Using Jigsaw Sudoku

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2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)

作者： Wanli Lyu Dongshuo Yin Yu Zhang Jiahao Deng Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and TechnologyAnhui UniversityKey Lab of Industrial Image Processing and Analysis of Anhui Province

ISBN: (纸本)9781510871076

A distinctive data hiding method based on Jigsaw Sudoku is proposed in this *** from other methods,the proposed method is based on Jigsaw Sudoku which is a kind of irregularly shaped *** to the novelty of Jigsaw Sudoku,the proposed method can provide a safer scheme for data hiding than that with pure *** proposed method can hide a certain number of 9-ary numbers in a steganographic image which has a corresponding *** a 256*256 key matrix stretched from a size 9*9 Jigsaw Sudoku,secret message can be hidden in a vector image byte by byte in the form of *** results show that,the proposed method has a better peaksignal-to-noise-ratio(PSNR) compared with some other data hiding methods.

关键词： Sudoku PSNR hiding methods irregularly shaped steganographic image corresponding specification

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Parameter estimation of moving target based on linearly constrained space-time adaptive monopulse technique

Parameter estimation of moving target based on linearly cons...

引用

IEEE International Symposium on Phased Array Systems and Technology

作者： Renbiao Wu Lu Wang Zhigang Su Jingxiong Huang Intelligent Information Institute of ATR Laboratory ShenZhen University Shenzhen China Tianjin Key Laboratory for Advanced Signal Processing Civil Aviation University of China Tianjin China

ISBN: (纸本)9781424451272

Technique of space-time adaptive processing (STAP), which is usually employed by airborne radar to reject the ground clutter and jamming and at the same time, detect the ground moving targets, can not estimate the spatial-temporal parameters of the corresponding targets. Monopulse technique, as a mature method for parameter estimation can be used on airborne radar, however, the estimation performance of this method is dramatically effected by the ground clutter and jamming components present, even when these components falls into the mainbeam interval. By combining the STAP technique with the monopulse technique, a new method for estimating the spatial-temporal parameters of moving targets is proposed and referred as to LC-STAM in this paper. Additionally, the proposed method utilizes the beam null, monopulse slope, and decoupling constraints to remove the worse influence on the beam shape from the mainbeam clutter, maintain the characteristic of the monopulse ratio, and increase the veracity of parameter estimation. Simulation results illustrated that the LC-STAM method possesses the excellent estimation performance of the spatail-temporal parameters by comparing with the other similar methods.

关键词： Clutter Jamming Estimation Airborne radar Parameter estimation Arrays

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Impacts of keystone formatting on Space-Time Adpative processing in airborne radar

Impacts of Keystone formatting on Space-Time Adpative Proces...

引用

International Conference on signal processing Proceedings (ICSP)

作者： Qiongqiong Jia Renbiao Wu Hai Li Tianjin Key Laboratory of Advanced Signal Processing Civil Aviation University of China Tianjin China Intelligent Information Institute of ATR Laboratory Shenzhen University Shenzhen China

keystone formatting (KF) has the capability of compensating multiple targets' (including ground clutter) range walk simultaneously without using any specific knowledge of the target motion. However, due to serious Doppler ambiguity of the fast moving targets, KF will affect the distribution of the clutter and degrade the Space-Time Adaptive processing (STAP) performance. Based on the above reasons, the impacts of KF on the clutter distribution are analyzed firstly, and then the impacts of KF on STAP are analyzed. The conclusions obtained are helpful to figure out better methods for fast dim air moving target detection.

关键词： Clutter Doppler effect Object detection Airborne radar Radar clutter Radar imaging

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STAP compensation technique based on homomorphic filtering in GPS

STAP compensation technique based on homomorphic filtering i...

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IEEE International Symposium on Phased Array Systems and Technology

作者： Renbiao Wu Rulan Xu Dan Lu Jianpin Yu Intelligent Information Institute of ATR Laboratory ShenZhen University Shenzhen China Tianjin Key Laboratory for Advanced Signal Processing Civil Aviation University of China Tianjin China

ISBN: (纸本)9781424451272

Space time adaptive processing (STAP) can be used to remove hostile jammers interfering for Global Positioning System (GPS) receivers, especially in the presence of jammer multipath. However, the STAP filter can bring in distortion to the GPS signal because it does not have a uniform frequency response across the operating band, which would dramatically reduce the accuracy of the users' position. Based on the homomorphic filtering a new method is proposed to compensate the distortion caused by the STAP filter. Finally, simulation results show the proposed method is effective.

关键词： Global Positioning System Arrays Jamming Distortion Interference Filtering Satellites

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An improved joint subspace projection method for InSAR interferogram filtering

An improved joint subspace projection method for InSAR inter...

引用

International Conference on signal processing Proceedings (ICSP)

作者： Hai Li Renbiao Wu Tianjin Key Laboratory of Advanced Signal Processing Civil Aviation University of China Tianjin China Intelligent Information Institute of ATR Laboratory Shenzhen University Shenzhen China

In this paper, an improved joint subspace projection method for synthetic aperture radar interferometry (InSAR) interferogram filtering is proposed. Benefiting from the new formulation of joint data vector, the method does not need to calculate the noise subspace dimension before estimating the InSAR interferometric phase, thus avoiding the effect on the estimation of the InSAR interferometric phase due to the inaccuracy of the noise subspace dimension. The method can auto-coregister the SAR images and reduce the interferometric phase noise simultaneously.

关键词： Joints Noise Covariance matrix Filtering Pixel Estimation Correlation

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A Fast and Accurate Cluster Center Initialization Algorithm for PolSAR Superpixel Segmentation

A Fast and Accurate Cluster Center Initialization Algorithm ...

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Asia-Pacific signal and Information processing Association Annual Summit and Conference (APSIPA)

作者： Binbin Han Ping Han Zheng Cheng Tianjin Key Laboratory of Advanced Signal and Image Processing Civil Aviation University of China Tianjin China Basic Experiment Center Civil Aviation University of China Tianjin China

ISBN: (数字)9781728132488

ISBN: (纸本)9781728132495

Locate iterative clustering (LIC) gets good performance in superpixel segmentation for PolSAR images. However, there are also two problems in its cluster center initialization. One is that there is a lot of computational redundancy in calculating edge map, which slows down the segmentation speed. The other is that the calculated edge is much wider than the real one, which makes the fine-tuning of center seeds in 3 × 3 window not suitable. To solve these problems, a fast and accurate cluster center initialization algorithm for PolSAR superpixel segmentation is proposed in this paper. For the first problem, integral graph is introduced to eliminate the redundancy. For the second problem, a more reasonable window size is selected to conduct fine-tuning. Experiments with measured AIRSAR data sets demonstrate the speed of the proposed edge map calculation method increases 28 times and the center seed is farther away from the edge than before. Furthermore, LIC gets better superpixel segmentation results with the new initialization algorithm.

关键词： image edge detection Redundancy Clustering algorithms Detectors image segmentation Microsoft Windows Iterative algorithms

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A novel STAP method for the detection of fast dim air moving targets

A novel STAP method for the detection of fast dim air moving...

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International Conference on signal processing Proceedings (ICSP)

作者： Renbiao Wu Qiongqiong Jia Hai Li Intelligent Information Institute of ATR Laboratory Shenzhen University Shenzhen China Tianjin Key Laboratory of Advanced Signal Processing Civil Aviation University of China Tianjin China

Space-time adaptive processing (STAP) is an effective method for moving target detection in airborne radar. In this paper, a novel STAP method for fast dim air moving target detection is proposed. The new method suppress clutter in the received data firstly, and then apply keystone formatting (KF) to compensate the target's range walk. Finally, target is accumulated by the conventional space-time beamforming. Effectiveness of the new method is verified via simulation examples.

关键词： Clutter Doppler effect Airborne radar Object detection Degradation Time frequency analysis

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Classification of Polarimetric SAR image based on Improved Fuzzy Clustering

Classification of Polarimetric SAR Image based on Improved F...

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Asia-Pacific signal and Information processing Association Annual Summit and Conference (APSIPA)

作者： Zheng Cheng Ping Han Binbin Han Jiahui Sun Basic Experiment Center Civil Aviation University of China Tianjin China Tianjin Key Laboratory of Adcanced Signal and Image Processing Civil Aviation University of China Tianjin China

ISBN: (数字)9781728132488

ISBN: (纸本)9781728132495

This paper presents an improved fuzzy clustering approach for Polarimetric SAR image by incorporating neighborhood information. Firstly, polarimetric scattering characteristics of the terrain in PolSAR image are used to generate appropriate initial centers to avoid the issue that FCM is sensitive to random class centers. Then to further enhance the robustness to speckle noise, the conventional robust fuzzy C-mean clustering approach is improved. The work mainly exists in two aspects: (1) The revised Wishart distance is adopted as the data distance measure instead of Euclidean distance to assign a label to each pixel. (2) A weighted fuzzy membership is established by considering local spatial distance and class membership between the central pixel and its neighborhood simultaneously. Finally, the real polarimetric SAR data is utilized for the validation of the proposed unsupervised classification method. Experimental results demonstrate the superiority of the proposed method over the comparisons.

关键词： Scattering Robustness Entropy Synthetic aperture radar Speckle Euclidean distance Classification algorithms

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