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Optimal Rate Filters for Biomedical Point Processes

Optimal Rate Filters for Biomedical Point Processes

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

作者： J. McNames Biomedical Signal Processing Laboratory Electrical & Computer Engineering Department Portland State University Portland OR USA

Rate filters are used to estimate the mean event rate of many biomedical signals that can be modeled as point processes. Historically these filters have been designed using principles from two distinct fields. Signal processing principles are used to optimize the filter's frequency response. Kernel estimation principles are typically used to optimize the asymptotic statistical properties. This paper describes a design methodology that combines these principles from both fields to optimize the frequency response subject to constraints on the filter's order, symmetry, time-domain ripple, DC gain, and minimum impulse response. Initial results suggest that time-domain ripple and a negative impulse response are necessary to design a filter with a reasonable frequency response. This suggests that some of the common assumptions about the properties of rate filters should be reconsidered

关键词： Finite impulse response filter Kernel IIR filters Signal processing Frequency response Biomedical signal processing Nonlinear filters Design methodology Constraint optimization Design optimization

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A New Technique for Solving a Jigsaw Puzzle

A New Technique for Solving a Jigsaw Puzzle

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IEEE International Conference on Image processing

作者： M. Makridis N. Papamarkos Image Processing and Multimedia Laboratory Department of Electrical & Computer Engineering Democritus University of Thrace Xanthi Greece

A new technique for solving jigsaw puzzles is proposed, which takes advantage of both geometrical and color features. It is considered that an image is being divided into a number of pieces (sub-images). The proposed technique is based on extraction of a set of boundary characteristic points and on a Kohonen self-organized feature map (KSOFM) color reduction technique. For each characteristic point a set of color and geometrical features are extracted. The technique compares these sets of features and decides whether two sub-images match or not. When a matching pair has been found, a corrective procedure is applied in order for these sub-images to fit exactly. Next, the proposed technique creates a new sub-image, which consists of the two matched sub-images. The whole matching procedure is being repeated until only one sub-image remains or no more matching sub-images can be found.

关键词： Image analysis Shape Image restoration Image processing Laboratories Color Feature extraction Image matching Image reconstruction Proteins

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Improving Shape from Focus Using Defocus Information

Improving Shape from Focus Using Defocus Information

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International Conference on Pattern Recognition

作者： K.S. Pradeep A.N. Rajagopalan Image Processing and Computer Vision Laboratory Department of Electrical Engineering Indian Institute of Technology Madras India

ISBN: (纸本)0769525210

Shape from focus (SFF) method determines the degree of focus in a sequence of observations to estimate the shape of a 3-D object. Existing SFF algorithms use an ad hoc interpolation strategy to account for the error due to the finite step-size by which the translational table is moved while capturing the images. We propose an improved SFF method that uses relative defocus blur derived from actual image data to arrive at the final estimates of the shape of the object. A space-variant image restoration scheme is also proposed to obtain a focused image of the 3-D object. The shape estimates as well as the quality of the restored image using the proposed method are superior to that of traditional SFF

关键词： Shape Focusing Cameras Lenses Image restoration Interpolation Pixel Polynomials Image sensors Image processing

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A New Architecture to Execute CAs-Based Path-Planning Algorithm in Mobile Robots

A New Architecture to Execute CAs-Based Path-Planning Algori...

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International Conference on Mechatronics (ICM)

作者： Adel Akbarimajd Caro Lucas Robotics and AI Laboratory Department of Electrical and Computer Engineering University of Tehran Iran Center of Excellence for Control and Intelligent Processing Department of Electrical and Computer Engineering University of Tehran Iran

Several path-planning algorithms for mobile robots have been introduced. Proper architectures for mobile robots to implement the path-planning algorithms are also of interest. If the mobile robots are to perform complicated tasks including complex sensing and planning operations and have accepted performance, must be autonomous: capable of acquiring information and performing tasks without programmatic intervention. In this paper we employ a layered architecture for mobile robots to perform our previously introduced cellular automata based path planning technique. It employs an abstraction approach which makes the complexity manageable. The architecture has an important feature which is its internal artifacts; it has some beliefs about the world and these beliefs are represented in artifacts and most actions are planned and performed with respect to these artifacts

关键词： Path planning Mobile robots Robot kinematics Content addressable storage Lattices computer architecture Orbital robotics Automata Intelligent sensors Robotics and automation

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A New Technique for Hand Gesture Recognition

A New Technique for Hand Gesture Recognition

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IEEE International Conference on Image processing

作者： E. Stergiopoulou N. Papamarkos Department of Electrical & Computer Engineering Democritus University of Thrace Xanthi Greece Image Processing and Multimedia Laboratory Greece

A new method for hand gesture recognition is proposed which is based on an innovative self-growing and self-organized neural gas (SGONG) network. Initially, the region of the hand is detected by using a color segmentation technique that depends on a skin-color distribution map. Then, the SGONG network is applied on the segmented hand so as to approach its topology. Based on the output grid of neurons, palm geometric characteristics are obtained which in accordance with powerful finger features allow the identification of the raised fingers. Finally, the hand gesture recognition is accomplished through a probability-based classification method.

关键词： Image segmentation Skin Fingers Chromium Image recognition Image analysis Neural networks Application software computer vision Hidden Markov models

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ROBUST SPACE-VARIANT SUPER-RESOLUTION

ROBUST SPACE-VARIANT SUPER-RESOLUTION

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2006 IET International Conference on Visual Information engineering

作者： K.V. Suresh A.N. Rajagopalan Image Processing and Computer Vision Laboratory Department of Electrical Engineering Indian Institute of Technology Madras Chennai India

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Automated Hardware-in-the-Loop Modeling and Simulation in Active Sensor Imaging Using T16713 DSP Units

Automated Hardware-in-the-Loop Modeling and Simulation in Ac...

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Midwest Symposium on Circuits and Systems (MWSCAS)

作者： Ana B. Ramirez Domingo Rodriguez Automated Information Processing Laboratory Electrical and Computer Engineering Department University of Puerto Rico Mayaguez Puerto Rico

This paper presents a new methodology for the modeling and simulation of active sensor imaging systems using a hardware-in-the-loop technique based on TI6713 digital signal processor (DSP) units. The methodology centers on procedures to enhance the degree of automation in the modeling and simulation processes by taking the following actions: (1) improving the automated development of algorithms to compute the two dimensional (2D) discrete Fourier transform (DFT), (2) enhancing the use of 2D DFT algorithms in implementing active sensor image formation operations, and (3) estimating the ambiguity function as the impulse response function of active imaging systems using principles of time-frequency signal representation theory. These actions have produced significant results such as a 30% to 90% improvement in 2D DFT implementations over conventional techniques, enhancement on scalable techniques for computing the ambiguity function, fast implementation techniques for computing image formation operations using the 2D fast Fourier transform (FFT), and integrated MATLABcopy user's interfaces for the overall modeling and simulation processes.

关键词： Image sensors Digital signal processing Mathematical model Discrete Fourier transforms Computational modeling Sensor systems Signal processing algorithms computer interfaces Digital signal processors Automation

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Multiresolution Object Recognition Using Dual Heuristic Programming

Multiresolution Object Recognition Using Dual Heuristic Prog...

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International Joint Conference on Neural Networks (IJCNN)

作者： F. Siddiqui K.M. Iftekharuddin Intelligent Systems and Image Processing Laboratory Department of Electrical and Computer Engineering University of Memphis Memphis TN USA

We present automatic target recognition (ATR) model based on principles of biological vision systems. The model employs reinforcement learning (RL) through Dual Heuristic Programming (DHP). The performance of the reported ATR model is compared to that of our previously reported ATR model, based on Heuristic Dynamic Programming (HDP). The HDP and DHP, known as the Adaptive Critic Designs (ACD), are neural network based implementation of Dynamic Programming (DP). The simulation shows promising results for both HDP and DHP based ATR model in presence of resolution distortion in incoming images and confirms that the DHP model is faster and more robust for our ATR system than the HDP.

关键词： Object recognition Learning Robustness Biological system modeling Machine vision Target recognition Dynamic programming Neural networks Image resolution Nonlinear distortion

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Expression compensation for face recognition using a polar geodesic representation

Expression compensation for face recognition using a polar g...

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3rd International Symposium on 3D Data processing, Visualization, and Transmission, 3DPVT 2006

作者： Mpiperis, Iordanis Malassiotis, Souris Strintzis, Michael G. Information Processing Laboratory Electrical and Computer Engineering Department Aristotle University of Thessaloniki Thessaloniki 541 24 Greece Informatics and Telematics Institute Centre for Research and Technology Hellas 1st Km Thermi-Panorama Rd Thessaloniki 57001 Greece

ISBN: (纸本)0769528252

This paper addresses the problem of face recognition in the presence of facial deformations caused by expressions. An isometric mapping between surfaces is assumed, which allows preservation of geodesic distance between facial points. Subject to this assumption, we propose a novel technique which integrates 2D and 3D information to establish a new deformation invariant representation of the face. The 3D surface is used to define a polar geodesic coordinate space which is independent of the intrinsic geometry of the face. The corresponding color image is embedded in this space and serves as the recognition data. A preceding stage of hierarchical diffeomorphic grid-based image warping before the recognition process combined with a lip segmentation technique are also employed to increase the overall performance of the algorithm. © 2006 IEEE.

关键词： Face recognition

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Intercarrier Interference Analysis for Wireless OFDM in Mobile Channels

Intercarrier Interference Analysis for Wireless OFDM in Mobi...

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2006 IEEE Wireless Communications and Networking Conference (WCNC 2006), vol.4

作者： Xiaozhou Huang Hsiao-Chun Wu Communications and Signal Processing Laboratory Electrical and Computer Engineering Department Louisiana State University Baton Rouge LA USA

Orthogonal Frequency Division Multiplexing (OFDM) employs a set of subcarriers for the information symbol transmission in parallel via the multipath fading channels. Due to its spectral efficiency and robustness over multipath channels, OFDM has been adopted for broadband communications. However, for high-speed mobility, the time-varying channels pose a performance limitation to the wireless OFDM systems. In this paper, we investigate the OFDM system performance in the time-varying channels where the intercarrier interference (ICI) occurs;we study the impacts of the time-varying multipath fadings together with the multiple Doppler spreads. According to our analysis and simulation results, the maximum OFDM symbol normalized Doppler frequency must be less than 0.04 to achieve the signal-to-interference ratio (SIR)=20dB or larger. As the maximum OFDM symbol normalized Doppler frequency increases, the OFDM system performance degrades dramatically. Different irreducible symbol error rate (SER) floors about 10{sup}(-2) for QPSK-OFDM schemes and 10{sup}(-1) for 16QAM-OFDM schemes would arise in case that the maximum OFDM symbol normalized Doppler frequency is fixed at 0.06.

关键词： OFDM ICI Multiple Doppler frequencies Mobile channels Symbol error rate

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