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5th International Conference on Multimedia Computing and Systems (ICMCS)

作者： Bouganssa, Issam Sbihi, Mohamed Zaim, Mounia Mohammed V Univ High Sch Technol SALE Lab LASTIMI Rabat Morocco

ISBN: (纸本)9781509051465

This paper presents the implementation of an adaptive contour detection filter and tumor Characterization on field programmable gate array (FPGA) using a combination of hardware and software components. The proposed system locates contours from a calculation of gradient in preferred directions while quantifying the importance of the outline with a wise thresholding. The dedicated algorithm is implemented in an FPGA Xilinx Spartan 6, and results are displayed in a VGA monitor. The FPGA offers the necessary performance for image processing and video in real time, while maintaining the flexibility of the system to support an adaptive algorithm. Simulation results and synthesis proposed edge detection processor on FPGA chip demonstrate the efficiency of proposed architecture.

关键词： FPGA VHDL Edge detection gradient algorithm VGA controller Real Time

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Convergence Properties of an Online Learning algorithm in Neural Network Models of Complex Systems

Convergence Properties of an Online Learning Algorithm in Ne...

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IEEE 2nd International Conference on Actual Problems of Unmanned Air Vehicles Developments

作者： Azarskov, V. N. Nikolaienko, S. A. Zhiteckii, L. S. Natl Aviat Univ Aircraft Control Syst Dept Kiev Ukraine Int Ctr Inform Tech & Syst Inst Cybernet Kiev Ukraine

Asymptotic behavior of the online gradient algorithm with a constant step size employed for learning in neural network models of nonlinear systems having hidden layer are studied. The sufficient conditions guaranteein... 详细信息

ISBN: (纸本)9781479933068;9781479933051

关键词： nonlinear model neural network gradient algorithm learning convergence

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Real-time Identification of a servo system via a Robust Least Squares algorithm 10

Real-time Identification of a servo system via a Robust Leas...

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10th International Conference on Control, Decision and Information Technologies (CoDIT)

作者： Rivera, Abraham Garrido, Ruben CINVESTAV IPN Dept Automat Control Mexico City DF Mexico

ISBN: (纸本)9798350373981;9798350373974

This work reports the parameter identification of a servo system through a novel Robust Least Squares algorithm with Variable Forgetting Factor (ROLSVFF), which is aimed to the identification of time-varying parameters in perturbed dynamic systems. Real-time experiments allow the evaluation of the proposed identification algorithm, and three excitation signals are tested including a chaotic signals generated by a Duffing system. The ROLSVFF algorithm is compared against the classic gradient algorithm, and the integral of the absolute value of the Parameter Estimate Derivative (IAPED) allows evaluating the smoothness of the parameter estimates. The experimental outcomes show that the value of the IAPED index remains in the range 70-100 for the ROLSVFF algoritm whereas in the case of the gradient algorithm the corresponding range is 50-18500, and the value of the IAPED index strongly depends on the excitation signal.

关键词： Parameter identification time-variant parameters gradient algorithm least squares algorithm forgetting factor online parameter identification dc servosystem

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algorithms for adaptive processing of signals in a flat phased antenna array

Algorithms for adaptive processing of signals in a flat phas...

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INTERNATIONAL SIBERIAN CONFERENCE ON CONTROL AND COMMUNICATIONS

作者： Tyapkin, V. N. Kartsan, I. N. Dmitriev, D. D. Efremova, S. V. Siberian Fed Univ Krasnoyarsk Russia Reshetnev Siberian State Aerosp Univ SibSAU Krasnoyarsk Russia

The following paper discusses a conducted synthesis and assessment of the effectiveness of control algorithms for null formation in the radiation pattern of a flat phased antenna array according to two coordinates;the... 详细信息

ISBN: (纸本)9781509010813

关键词： phased antenna array adaptive algorithm recurrent algorithm gradient algorithm insert

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Jointly Optimized Uncoordinated Beamforming for Enhancing Achievable Sum Rate in Cognitive Radio Network

Jointly Optimized Uncoordinated Beamforming for Enhancing Ac...

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IEEE Region 10 Conference (TENCON)

作者： Ramli, Nordin Zuferi, Wan Nadzlia Shazwanie Wan Mohd Mohamad, Hafizal Anas, Mohamad Nuzli MIMOS Berhad Wireless Commun Cluster Technol Pk Malaysia Kuala Lumpur 57000 Malaysia

ISBN: (纸本)9781479940752

In this paper, we propose an enhanced strategy for jointly-optimized uncoordinated beamforming over cognitive radio network. We consider a transmission of a single information stream in both primary and secondary links where both primary and secondary users are equipped with multiple antennas and transmit concurrently over the same spectrum. Specifically, the optimum weights to maximize the individual achievable rates are designed for both primary and secondary links and the achievable sum rate performance of the network under the condition that the cross interference at both receivers is totally nullified. The interference cancellation is performed at the secondary user and no coordination between the primary and secondary users is required as we considered uncoordinated beamforming in the network. The proposed design is based on singular value decomposition and iterative water-filling at the primary link while employing discrete search and gradient algorithm at the secondary link. The effect of the number of transmit and receive antennas on the proposed design is also discussed. Simulation results demonstrate that the proposed strategy improves individual user achievable rates and achievable sum rate performance as compared to the previously reported approaches.

关键词： array signal processing cognitive radio gradient methods interference suppression radio networks singular value decomposition cognitive radio network cross interference discrete search gradient algorithm interference cancellation iterative water-filling jointly optimized uncoordinated beamforming primary links primary users secondary links secondary users single information stream sum rate Antennas Array signal processing Interference Receivers Signal to noise ratio Transmitters Vectors

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Circle Detection of Short Arc Based on Randomized Hough Transform 14

Circle Detection of Short Arc Based on Randomized Hough Tran...

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IEEE International Conference on Mechatronics and Automation (ICMA)

作者： Li, Dahua Nan, Fang Xue, Tao Yu, Xiao Tianjin Univ Technol Tianjin Key Lab Control Theory & Applicat Complic 391 Binshui Xidao Tianjin 300384 Peoples R China Tianjin Univ Technol 391 Binshui Xidao Tianjin 300384 Peoples R China

ISBN: (纸本)9781509067596

Detecting circle based on short irregularly arc in complex background and illumination condition has a wide industrial application, which provides the theoretical basis for some special intelligent instrument. Aiming at the problems of small uneven arc, uneven illumination, light intensity variation, blur boundary and adjacent grey degree, this paper proposes a circle detection method based on Randomized Hough Transform (RHT) combined with the circle features and gradient algorithm, which can accurately detect the edge image, locate the arc position and detect the circle under complex condition. The steel pipe images in the storage field were detected and analyzed. The results prove that the proposed algorithm can accurately detect the edge image, locate the arc and detect the circle under complex condition. Compared with the existing commonly used detection algorithms, this method can achieve higher recognition effect and fully satisfy the requirements of practical industrial applications.

关键词： Image Processing Circle Detection Hough Transform gradient algorithm

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Recursive identification of systems with hard input nonlinearities of known structure

Recursive identification of systems with hard input nonlinea...

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American Control Conference

作者： Giri, F Rochdi, Y Chaoui, FZ ISMRA Univ Caen GREYC F-14050 Caen France

ISBN: (纸本)0780383354

We are considering nonlinear system identification using Hammerstein model, where the linear and nonlinear elements are both of known structure. The static gain may be discontinuous and is not linear in the (unknown) parameters. The focus is made on the case of a two-segment piecewise-linear gain with a preload and/or a dead zone. A recursive identification scheme is designed to determine the models of both the plant dynamics and the static gain. It involves a gradient algorithm, a singular value decomposition and an ad-hoc input sequence that ensures persistent excitation.

关键词： control nonlinearities nonlinear control systems identification piecewise linear techniques gradient methods singular value decomposition systems recursive identification nonlinear system identification Hammerstein model two-segment piecewise-linear gain gradient algorithm ad-hoc input sequence

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Singularity computation for iterative control of nonlinear affine systems

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Asian Journal of Control 2000年第2期2卷 57-75页

作者： Popa, Dan O. Wen, John T. Center for Automation Technologies Dept. of Electrical Computer and Systems Eng. Rensselaer Polytechnic Institute Troy NY 12180 United States

This paper considers a gradient type of iterative algorithm applied to the open loop control for nonlinear affine systems. The convergence of the algorithm relies on the control signal in each iteration be nonsingular. We present an algorithm for computing the singular control for a general class of nonlinear affine systems. Various nonlinear mechanical systems, including nonholonomic systems, are included as examples.

关键词： Affine system gradient algorithm Nonholonomic system Nonlinear control Path planning Singular control

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A CONVEX LOW-RANK REGULARIZATION METHOD FOR HYPERSPECTRAL SUPER-RESOLUTION 20

A CONVEX LOW-RANK REGULARIZATION METHOD FOR HYPERSPECTRAL SU...

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IEEE Statistical Signal Processing Workshop (SSP)

作者： Wu, Ruiyuan Li, Qiang Fu, Xiao Ma, Wing-Kin Chinese Univ Hong Kong Dept Elect Engn Hong Kong Peoples R China Univ Elect Sci & Technol China Sch Info & Comm Engn Chengdu Peoples R China Oregon State Univ Sch Elect Engn & Comp Sci Corvallis OR 97331 USA

ISBN: (纸本)9781538615713

Hyperspectral super-resolution (HSR) is a technique of recovering a super-resolution image from a hyperspectral image (which has low spatial but high spectral resolutions) and a multispectral image (which has high spatial but low spectral resolutions). The problem is an ill-posed inverse problem in general, and thus judiciously designed formulations and algorithms are needed for good HSR performance. In this work, we employ the idea of low rank modeling, which was proven effective in helping enhance performance of HSR. Unlike the extensively employed nonconvex structured matrix factorization-based methods, we propose to use a convex regularizer for promoting low rank. Both unconstrained and constrained formulations are considered: the unconstrained case is tackled by the proximal gradient (PG) algorithm;while the more physically sound but challenging constrained case is solved by a custom-designed PG like algorithm, which uses the ideas of smoothing and majorization-minimization. Simulations are employed to showcase the effectiveness of the proposed methods.

关键词： Hyperspectral super-resolution convex low-rank regularization gradient algorithm

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Design of multiorder diffraction gratings using the Rayleigh method.

Design of multiorder diffraction gratings using the Rayleigh...

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International Symposium on Optical Information Science and Technology (OIST 97) - Optical Recording Mechanisms and Media

作者： Doskolovich, LL Kharitonov, SI Petrova, OI Soifer, VA Image Proc Syst Inst Samara 443001 Russia

ISBN: (纸本)0819427950

A method for the design of perfectly conducting multiorder diffraction gratings is proposed. The design uses the Rayleigh method and is based on the gradient search algorithm for optimization of grating structure from the condition of the generation of a desired array of diffraction orders. The developed algorithm is more general and for d much greater than lambda, where d is the grating period and lambda is the wavelength of incident light, goes over into the familiar gradient algorithms for designing gratings in the Kirchhoff approximation. The designs of multiorder gratings with equal order intensities are reported with the efficiency of more than 90% and root-mean square errors of 2-7%.

关键词： diffraction grating diffraction order inverse problem Rayleigh method gradient algorithm

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