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International Conference on Telecommunications and signal processing

作者： Marjaneh Taghavi Mohammad B. Shamsollahi Lotfi Senhadji School of Engineering and Science Sharif University of Technology International Campus Kish Island Biomedical Signal and Image Processing Laboratory (BiSIPL) School of Electrical Engineering Sharif University of Technology Laboratoire Traitement du Signal et de l'Image (LTSI) Universitede Rennes 1

ISBN: (纸本)9781479984992

The Electrocardiogram (ECG) is widely used for diagnosis of heart diseases. Therefore, the quality of information extracted from the ECG has a vital role. In real recordings, ECG is corrupted by artifacts such as prolonged repolarization, respiration, changes of electrode position, muscle contraction, and power line interface. In this paper, a denoising technique for ECG signals based on Empirical Mode Decomposition (EMD) is proposed. We use Ensemble Empirical Mode Decomposition (EEMD) to overcome the limitations of EMD. Moreover, to overcome the limitations of thresholding methods we use the combination of mutual information and two EMD based interval thresholding approaches. Our new method is evaluated on ECG signals available in MIT-BIH database. This method is compared with two EEMD based interval thresholding methods. The results show that our proposed method has a better signal to Noise Ratio improvement (SNRimp) and a lower Mean Square Error (MSE) than the other two methods.

关键词： Ensemble Empirical Mode Decomposition Denoising Mutual Information Instantaneous Half Period Interval Thresholding ECG

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A visual complexity-sensitive DWT ordering scheme for hiding data in images

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Research Journal of Applied sciences, Engineering and technology 2014年第16期7卷 3286-3297页

作者： Iliyasu, Abdullah M. Al-Asmari, Awad Kh. Salama, Ahmed S. Al-Qodah, Mohammed A. Abd Elwahab, Mohamed A. Le, Phuc Q. Salman Bin Abdulaziz University Al Kharj Saudi Arabia Department of Computational Intelligence and Systems Science Tokyo Institute of Technology Japan Image and Signal Processing Lab King Saud University Saudi Arabia

A scheme is proposed to hide data in images based on a prioritized ordering of the content of the host (or cover) image. A watermark embedding process uses the watermark strength to determine the ordering of the 16 regions resulting from the second level Discrete Wavelet Transform (DWT) decomposed content of the host image. To determine the best ordering for hiding the data, various types of image of varying content and, hence, visual complexity were considered, analyzed and ranked in terms of their ability to withstand changes that do not imperil the visual quality (PSNR) of their watermarked versions depending on which an N×N-sized watermark stream is hidden in the 8 highest ranked sub-bands of the host image. From this perspective, an ordering for images classified as simple, normal and complex images was used to determine a generalized ordering of the DWT decomposed sub-bands of the image. The generalized ordering presented here ascertains that the content of the image and its visual complexity had little effect on an earlier proposed prioritized ordering of the DWT Sub-bands. To validate the veracity of the ordering scheme, 1000 images from the Corel 1000A database, their visual complexity and features were taken into account. The results confirmed that high embedding capacity, appreciable visual quality of watermarked images and complete recovery hidden data are realizable based on the ordering scheme proposed in this study. © Maxwell Scientific Organization, 2014.

关键词： Data hiding Discrete wavelet transform (DWT) image processing Information security Visual complexity Watermarking

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Autonomous ship safe navigation using smoothing A* Algorithm

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Open Cybernetics and Systemics Journal 2014年第1期8卷 72-76页

作者： Ma, Yong Gan, Langxiong Zheng, Yuanzhou Zhang, Jing School of Navigation Wuhan University of Technology Hubei Key Laboratory of Inland Shipping Technology Wuhan China Key Laboratory of Image Processing and Intelligent Control Institute of Systems Engineering Huazhong University of Science and Technology Wuhan China School of Business Chutian College Huazhong Agricultural Business University Wuhan China

Using reasonable and efficient autonomous technology for path planning can effectively improve the safety of ship navigation and can reduce human errors of maritime accidents. The planned path by A* algorithm is flawed with broken lines, many turning points and numerous transitional frequencies under the environment modeled by grid method. Smoothing A* algorithm is adopted to delete the removable points which prolong the planned path length. After all the realities of ship navigation are taken into account, smoothing A* algorithm is applied to resolve safe navigation problem for the ship. With the proposed smoothing A* algorithm, simulation results show that the conflict-free path can be planned for ships under different circumstances with static and dynamic obstacles and abide by the COLREGS. © Ma et al.;Licensee Bentham Open.

关键词： Ships

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Hybridizing infeasibility driven and constrained-domination principle with MOEA/D for constrained multiobjective evolutionary optimization

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8916卷 249-261页

作者： Lin, Huibiao Fan, Zhun Cai, Xinye Li, Wenji Wang, Sheng Li, Jian Zhang, Chengdian School of Engineering Shantou University Guangdong515063 China College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics NanjingJiangsu210016 China College of Science Shantou University Guangdong515063 China Guangdong Provincial Key Laboratory of Digital Signal and Image Processing Techniques Shantou University Guangdong515063 China

This paper presents a novel multiobjective constraint handling approach, named as MOEA/D-CDP-ID, to tackle constrained optimization problems. In the proposed method, two mechanisms, namely infeasibility driven (ID) and constrained-domination principle (CDP) are embedded into a prominent multiobjective evolutionary algorithm called MOEA/D. Constraineddomination principle defined a domination relation of two solutions in constraint handling problem. Infeasibility driven preserves a proportion of marginally infeasible solutions to join the searching process to evolve offspring. Such a strategy allows the algorithm to approach the constraint boundary from both the feasible and infeasible side of the search space, thus resulting in gaining a Pareto solution set with better distribution and convergence. The efficiency and effectiveness of the proposed approach are tested on several well-known benchmark test functions. In addition, the proposed MOEA/D-CDP-ID is applied to a real world application, namely design optimization of the two-stage planetary gear transmission system. Experimental results suggest that MOEA/D-CDP-ID can outperform other state-of-the-art algorithms for constrained multiobjective evolutionary optimization. © Springer International Publishing Switzerland 2014.

关键词： Constraint handling

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New Criteria of Passivity Analysis for Fuzzy Time-Delay Systems With Parameter Uncertainties

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IEEE Transactions on Fuzzy Systems 2015年第6期23卷 2284-2301页

作者： Wen, Shiping Zeng, Zhigang Huang, Tingwen Yu, Xinghuo Xiao, Mingqing School of Automation Huazhong University of Science and Technology Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Wuhan430074 China Texas A and M University at Qatar Doha23874 Qatar Platform Technologies Research Institute RMIT University MelbourneVIC3001 Australia Department of Mathematics Southern Illinois University CarbondaleIL62901 United States

This paper investigates the passivity problem for a class of uncertain stochastic fuzzy nonlinear systems with mixed delays and nonlinear noise disturbances by employing an improved free-weighting matrix approach. The fuzzy system is based on the Takagi-Sugeno model that is often used to represent the complex nonlinear systems in terms of fuzzy sets and fuzzy reasoning. To reflect more realistic dynamical behaviors of the system, the parameter uncertainties, the stochastic disturbances, and nonlinearities are considered, where the parameter uncertainties enter into all the system matrices, the stochastic disturbances are given in the form of a Brownian motion. The mixed delays comprise both discrete and distributed time-varying delays. By taking the relationship among the time delays, their lower and upper bounds into account, some less conservative linear-matrix-inequality-based delay-dependent passivity criteria are obtained without ignoring any useful terms in the derivative of Lyapunov functional. Finally, numerical examples are given to demonstrate the effectiveness and merits of the proposed methods. © 1993-2012 IEEE.

关键词： Time delay

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ADAPTIVE SAMPLING FOR COMPRESSED SENSING BASED image COMPRESSION

ADAPTIVE SAMPLING FOR COMPRESSED SENSING BASED IMAGE COMPRES...

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IEEE International Conference on Multimedia and Expo

作者： Shuyuan Zhu Bing Zeng Moncef Gabbouj Institute of Image Processing University of Electronic Science and Technology of China Department of Signal Processing Tampere University of Technology

ISBN: (纸本)9781479947607

The compressed sensing (CS) theory shows that a sparse signal can be recovered at a sampling rate that is (much) lower than the required Nyquist rate. In practice, many image signals are sparse in a certain domain, and because of this, the CS theory has been successfully applied to the image compression in the past few years. The most popular CS-based image compression scheme is the block-based CS (BCS). In this paper, we focus on the design of an adaptive sampling mechanism for the BCS through a deep analysis of the statistical information of each image block. Specifically, this analysis will be carried out at the encoder side (which needs a few overhead bits) and the decoder side (which requires a feedback to the encoder side), respectively. Two corresponding solutions will be compared carefully in our work. We also present experimental results to show that our proposed adaptive method offers a remarkable quality improvement compared with the traditional BCS schemes.

关键词： Compressed sensing (CS) image compression Adaptive CS sampling

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DSP IN HETEROGENEOUS MULTICORE EMBEDDED SYSTEMS-A laboratory EXPERIMENT

DSP IN HETEROGENEOUS MULTICORE EMBEDDED SYSTEMS-A LABORATORY...

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European signal processing Conference

作者： Pavel Lifshits Alon Eilam Yair Moshe Nimrod Peleg Signal and Image Processing Laboratory (SIPL) Department of Electrical Engineering Technion - Israel Institute of Technology

ISBN: (纸本)9781479946037

Undergraduate engineering students who are learning Digital signal processing (DSP) are expected to have the ability to implement their theoretical knowledge in various applications soon after graduation. In this paper, we present a laboratory experiment developed for undergraduate students that addresses the challenge of getting them familiar with implementing DSP algorithms in heterogeneous multicore systems. In a top-down approach, the students first gain control of the development environment, and then implement DSP algorithms on a general purpose and on a digital signal processor core. Through the experiment, they get to appreciate the advantages of DSP core architecture in performing signal processing algorithms, and learn methods for timing and data transfer between cores while meeting real-time constraints. In a limited time frame, this hands-on laboratory experiment exposes the students to state-of-the-art multicore development practices and increases their knowledge and interest in DSP and in embedded programming.

关键词： Electrical engineering education Heterogeneous multicore processing Digital signal processing Fixed-point arithmetic BeagleBoard

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On YASS’s Non-monotonic Security Performance

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Circuits, Systems, and signal processing 2014年第11期33卷 3527-3537页

作者： Yu, Lifang Zhao, Yao Ni, Rongrong Shi, Yun Qing Institute of Information Science Beijing Jiaotong University Beijing100044 China Beijing Key Laboratory of Signal and Information Processing for High-end Printing Equipments Beijing Institute of Graphic Communication Beijing102600 China State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing100044 China Beijing Key Laboratory of Advanced Information Science and Network Technology Beijing100044 China Department of Electrical and Computer Engineering New Jersey Institute of Technology NewarkNJ07102 United States

Recently, researchers have discovered unexpected bumps in the detection rate curve of yet another steganographic scheme (YASS). We refer to this abnormal phenomenon as non-monotonic security performance. This paper first analyzes this abnormality and points out that it is caused by the non-uniformity in probability of coincidence of (Formula presented.) embedding blocks and (Formula presented.) JPEG blocks. Based on this observation, we propose that further randomizing data embedding positions can overcome the non-monotonic security performance. Experimental results have demonstrated a complete removal of bumps in the detection rate curve of YASS after further randomization. © 2014, Springer science+Business Media New York.

关键词： Steganography

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DOWNWARD SPATIALLY-SCALABLE image RECONSTRUCTION BASED ON COMPRESSED SENSING

DOWNWARD SPATIALLY-SCALABLE IMAGE RECONSTRUCTION BASED ON CO...

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IEEE International Conference on image processing

作者： Shuyuan Zhu Bing Zeng Lu Fang Moncef Gabbouj Institute of Image Processing University of Electronic Science and Technology of China School of Information Science and Technology University of Science and Technology of China Department of Signal Processing Tampere University of Technology

ISBN: (纸本)9781479957521

According to the compressed sensing (CS) theory, we can sample a sparse signal at a rate that is (much) lower than the required Nyquist rate, while still enabling a nearly exact reconstruction. image signals are sparse when represented in a certain domain, and because of this, a large number of CS-based image sampling and reconstruction techniques have been developed recently. In this paper, we focus on the design of the downward spatially-scalable image reconstruction from the CS-sampled data. Traditional methods usually reconstruct an image whose size is the same as the original source image and then achieve the downward scalability through sub-sampling. In our proposed method, we unify these two steps into a single one and promise to deliver a much improved quality.

关键词： Compressed sensing Spatial scalability Sparse representation

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Tensor-based Gaussian processes regression using a probabilistic kernel with information divergence

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International Journal of Simulation: Systems, science and technology 2015年第5期16卷 13.1-13.7页

作者： Tang, Lingbing Peng, Pin Zhao, Qibin Gui, Lihua Qing, Luochang Mobile E-business Collaborative Innovation Center of Hunan Province Hunan University of Commerce ChangshaHunan410205 China Key Laboratory of Hunan Province for Mobile Business Intelligence ChangshaHunan410205 China Lab.for Advanced Brain Signal Processing Brain Science Institute RIKEN 2-1 Hirosawa WakoshiSaitama Japan Graduate School of Engineering Saitama Institute of Technology Japan School of Finance and Banking Hunan University of Commerce ChangshaHunan410205 China

We present a Gaussian processes regression for tensor-valued inputs, which is based on a coherent treatment of a prior for the latent function with a covariance function defined on a tensor representation of multivariate data. Such a rigorous account of the underlying data dependencies within the model is also the basis for a new and powerful framework for structural data analysis. This is achieved under the assumption of generative models, and by introducing a family of probabilistic kernels with tensor arguments. By equipping these product kernels with the Jensen-Shannon divergence measure for tensorial data, the proposed model can be considered as both a generative and discriminative model. Further, a fully Bayesian treatment is used to estimate the hyperparameters and infer the predictive distributions. Experimental results on a real world application of decoding 3D movement trajectory based on electrocorticography (ECoG) signals recorded from a monkey brain demonstrate the effectiveness and performance advantage of the proposed framework. © 2015, UK Simulation Society. All rights reserved.

关键词： Tensors

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