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MIPPR 2005: SAR and Multispectral Image processing

作者： Xiong, Cheng-Yi Tian, Jin-Wen Liu, Jian College of Electronic Information Engineering South-Center University for Nationalities Wuhan 430074 China Institute of Pattern Recognition and Artificial Intelligence Key Laboratory of Education Ministry for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074 China

Efficient VLSI architectures for multi-dimensional (m-D) discrete wavelet transform (DWT), e.g. m=2, 3, are presented, in which the lifting scheme of DWT is used to reduce efficiently hardware complexity. The parallelism of 2 m subbands transforms in lifting-based m-D DWT is explored, which increases efficiently the throughput rate of separable m-D DWT. The proposed architecture is composed of m2m-1 1-D DWT modules working in parallel and pipelined, which is designed to process 2m input samples per clock cycle, and generate 2m subbands coefficients synchronously. The total time of computing one level of decomposition for a 2-D image (3-D image sequence) of size N2 (MN2) is approximately N2/4 (MN2/8) intra- clock cycles (ccs). An efficient line-based architecture framework for both 2D+t and t+2D 3-D DWT is first proposed. Compared with the similar works reported in previous literature, the proposed architecture has good performance in terms of production of computation time and hardware cost. The proposed architecture is simple, regular, scalable and well suited for VLSI implementation.

关键词： VLSI circuits

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Noise suppression of fMRI time-series in wavelet domain

Noise suppression of fMRI time-series in wavelet domain

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Seventh IASTED International Conference on Signal and Image processing, SIP 2005

作者： Jahanian, Hesamoddin Soltanian-Zadeh, Hamid Hossein-Zadeh, Gholam Ali Elec. and Comp. Eng. Dept. Control and Intelligent Processing Center of Excellence University of Tehran Tehran 14399 Iran School of Cognitive Sciences Institute for Studies in Theoretical Physics and Mathematics Tehran Iran Image Analysis Lab. Radiology Dept. Henry Ford Health System Detroit MI United States

ISBN: (纸本)0889865183

Because of poor signal-to-noise ratio (SNR) of the fMRI time series and confounding effects, the results of fMRI analysis are often unsatisfactory. Existence of significant noise and artifacts in fMRI time-series as well as their unknown structure, complicates the problem of activation detection in the time domain. This makes the fMRI noise suppression a challenging problem. Based on some assumptions, different parametric denoising methods such as wavelet based denoising methods have been introduced in the literature. But these assumptions may not necessarily hold for the fMRI data. To remedy this problem, using randomization analysis, we propose a novel wavelet-based denoising method for fMRI analysis. The proposed denoising method is employed to build a feature space for fMRI cluster analysis and its efficiency is shown using simulated and experimental datasets.

关键词： Noise abatement

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APPROXIMATED OPTIMAL control OF SINGULARLY PERTURBED SYSTEMS VIA HAAR WAVELETS

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IFAC Proceedings Volumes 2005年第1期38卷 353-358页

作者： H.R. Karimi P. Jabedar Maralani B Moshiri B Lohmann Control and Intelligent Processing Center of Excellence Dept. of Electrical and Computer Engineering University of Tehran Tehran Iran Institute of Automation University of Bremen Otto-Hahn-Allee NW1 D-28359 Bremen Germany

This paper deals with the implementation of Haar wavelet to the optimal control of linear singularly perturbed systems. The approximated composite control and the slow and fast trajectories with respect to a quadratic cost function by solving only the linear algebraic equations are calculated. The results are illustrated with a simple example.

关键词： Singularly perturbed systems Haar wavelet and optimal control

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An interpolative fuzzy inference using least square principle by means of /spl beta/-function and high order polynomials

An interpolative fuzzy inference using least square principl...

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IEEE International Conference on Mechatronics and Automation

作者： F. Kiasi C. Lucas A. Fazl Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran Iran Electrical Engineering Faculty K.N. Toosi University of Technology Tehran Iran

Many researchers have been interested in approximation properties of fuzzy logic systems (FLS), which like neural networks, can be seen as approximation schemes. Almost all of them tackled Mamdani fuzzy model, which was shown to have many interesting features. This paper aims to present an alternative for traditional inference mechanisms and CRI method. The most attractive advantage of this new method is its higher robustness with respect to changes in rule base and ability to operate when latter is sparse. In this paper interpolation with high order polynomials and /spl beta/-function is reported.

关键词： Least squares methods Polynomials Fuzzy systems Fuzzy sets Fuzzy logic Interpolation Least squares approximation Engines Fuzzy control Curve fitting

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Efficient word-level sequential coding scheme of bit plane coding for EBCOT in JPEG2000

Efficient word-level sequential coding scheme of bit plane c...

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9th International Symposium on Consumer Electronics 2005, ISCE 2005

作者： Xiong, Cheng-Yi Tian, Jin-Wen Liu, Jian Institute of Pattern Recognition and Artificial Intelligence South-Center University for Nationalities Huazhong University of Science and Technology Wuhan China Key Laboratory of Education Ministry for Image Processing and Intelligent Control Institute of Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China HUST

The embedded block coding with optimized truncation (EBCOT) is the state-of-the-art coding technique for image compression, which is the heart of the latest still image compression standard JPEG2000. EBCOT can be partitioned into three steps: bit plane coding (BPC), context adaptive binary arithmetic coding (CABAC) and postcompression rate-distortion (PCRD) optimization. The bit plane coding in JPEG2000 is a fractional bit-plane coding method, in which the transformed coefficients of a code block are coded bit plane by bit plane with 3 passes in each bit-plane, and context-decision (CX-D) pair of the coded symbol is generated for CABAC. In this paper, a new word-level sequential (WLS) coding scheme for BPC is presented, which makes all the passes coding be completed in one scan, with the context formation in all bit-planes being performed in parallel and all the samples being coded in sequential. The status variables used in context formation are produced on-the-fly. This new algorithm can efficiently implement both the regular mode and vertical causal one recommended by JPEG2000. The proposed algorithm reduces efficiently the size of memory and the amount of memory accessing, and increases significantly the speed of coding. It is well suited for both software and hardware implementation.1 © IEEE.

关键词： Image coding

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Output feedback reconfigurable controller design using eigenstructure assignment: post fault order change

Output feedback reconfigurable controller design using eigen...

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International Conference on control and Automation (ICCA)

作者： A.E. Ashari A.K. Sedigh M.J. Yazdanpanah Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Tehran Iran Electrical and Electronics Engineering Department K.N. Toosi University of Technology Tehran Iran

This paper proposes a reconfigurable controller design method for multivariable systems, which is capable of dealing with order-change problems that may occur in an after-fault system. A new method is proposed to recover the nominal closed-loop performance after a fault occurrence in the system. This approach uses the eigenstructure assignment. Unlike the previously developed approaches, the new method can be implemented in the case when the fault leads to order change of the after-fault model. Also, it can be used to solve the problems in which the set of after-fault open-loop and closed-loop eigenvalues have common elements, especially when the system becomes uncontrollable or unobservable due to the fault. The method guarantees the stability of the reconfigured closed-loop system in the presence of output feedback. Finally, simulation results are provided to show the effectiveness of the proposed method for an aircraft model.

关键词： Output feedback control systems Stability Eigenvalues and eigenfunctions Sliding mode control Design methodology MIMO Process control Open loop systems Java

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Reconfigurable sliding-mode control design using genetic algorithms and eigenstructure assignment

Reconfigurable sliding-mode control design using genetic alg...

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International Conference on control and Automation (ICCA)

作者： A.E. Ashari M.J. Yazdanpanah A.K. Sedigh Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Tehran Iran Electrical and Electronics Engineering Department K.N. Toosi University of Technology Tehran Iran

This paper proposes a reconfigurable control system design methodology using the sliding-mode control. The advantage of the proposed sliding-mode reconfigurable control methodology is that it is more robust than the simple static reconfigurable feedback. An approach is suggested to redesign the sliding surface for the after-fault variable structure controller using the genetic algorithms. So, the new sliding-mode controller is capable of preserving much of the dynamics of the original unfailed system. Simulation results are provided to show the effectiveness of the proposed method.

关键词： Sliding mode control Algorithm design and analysis Genetic algorithms control systems Feedback Robust control Stability Java Uncertainty State-space methods

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A neuro-fuzzy based approach for output tracking of transverse flux machines

A neuro-fuzzy based approach for output tracking of transver...

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IEEE Conference on control Technology and Applications (CCTA)

作者： A. Babazadeh H.R. Karimi B. Moshiri Institute of Electrical Drives Power Electronics and Devices University of Brethemen Bremen Germany Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering Faculty ofEngineering University of Tehran Tehran Iran

This paper describes a design for adaptive control of transverse flux permanent magnet machines as nonlinear systems with unknown nonlinearities by utilizing Takagi-Sugeno-Kang type neuro-fuzzy networks. The technique of feedback linearization and H infin control are used to design the adaptive control law for compensating the unknown nonlinear parts, such the effect of cogging torque, as a disturbance on the rotor angle and angular velocity tracking performances. Finally, the capability of the proposed method is shown by the simulation results

关键词： Adaptive control Permanent magnet machines Nonlinear systems Takagi-Sugeno-Kang model Fuzzy neural networks Neurofeedback Linear feedback control systems Torque control Angular velocity control Forging

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ROBUST ADAPTIVE control OF TRANSVERSE FLUX PERMANENT MAGNET MACHINES USING NEURAL NETWORKS

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IFAC Proceedings Volumes 2005年第1期38卷 169-174页

作者： A Babazadeh H.R. Karimi N Parspour Institute of Electrical Drives Power Electronics and Devices University of Bremen Bremen Germany Control and Intelligent Processing Center of Excellence Dept. of Electrical and Computer Engineering Faculty of Engineering University of Tehran Tehran Iran DAAD Scholarship Holder at the Institute of Automation University of Bremen Germany

This paper deals with modelling and adaptive output tracking of a Transverse Flux Permanent Magnet Machine (TFPM) as a non-linear system with unknown nonlinearities by utilizing High Gain Observer (HGO) and Radial Basis Function (RBF) networks. The technique of feedback linearization and H ∞ control are used to design an adaptive control law for compensating the unknown nonlinearity parts, such the effect of cogging torque, as a disturbance is decreased onto the rotor angle and angular velocity tracking performances. Finally, the capability of the proposed method is shown in the simulation results.

关键词： High gain observer transverse flux permanent magnet machine H ∞ control RBF neural network output tracking

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Concept Oriented Imitation Towards Verbal Human-Robot Interaction

Concept Oriented Imitation Towards Verbal Human-Robot Intera...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： H. Mobahi M.N. Ahmadabadi B.N. Araabi Control and Intelligent Processing Centre of Excellence Department of Electrical and Computer Engineering University of Tehran Tehran Iran School of Cognitive Sciences Institute of Studies in Theoretical Physics and Mathematics Tehran Iran

Imitation equips robots with a simple and natural interface to learn new tasks. Although abstraction is a remarkable feature of imitation that discriminates it from mimicking, there has been no enough research on this dimension of imitation. Relational concepts are the simplest type of abstract concepts and can be an appropriate start point. These concepts may be learned by combining perceptual categorization and classical conditioning. The paper will first formalize relational concept learning within an imitative context. Internal modules of the learning agent are considered to be functions. We will prove that in this case the concept-motor mapping becomes one-to-one which simplifies learning. A learning algorithm for the model will be also proposed and evaluated in a phoneme acquisition experiment with a large number of highly overlapped samples.

关键词： Cognitive robotics intelligent robots Learning Humans Robotic assembly Process control intelligent control Senior citizens Positron emission tomography Educational robots

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