检索结果-内蒙古大学图书馆

Journal of Information Science and engineering: Editorial notice

Journal of Information Science and engineering 2005年第5期21卷 i-ii页

作者： Lee, Der-Tsai Amato, Nancy M. Chang, Shih-Fu Chen, Homer H. Chen, Tsuhan Hsu, Tsan-Sheng Hwang, Jenq-Neng Kuo, Sy-Yen Kuo, Tei-Wei Li, Chung-Sheng Tokuyama, Takeshi Wing, Jeannette Wu, Tzong-Chen Yen, John Computer Science at Texas A and M University United States Parasol Laboratory United States IEEE Transactions on Parallel and Distributed Systems Computing Research Association's Committee on the Status of Women in Computing Research CRA-W's Distributed Mentor Program United States Department of Electrical Engineering Columbia University United States Lab. United States College of Electrical Engineering and Computer Science National Taiwan University Taiwan IEEE Transactions on Circuits and Systems for Video Technology IEEE Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA United States ACM ACM SIGACT IEEE Computer Society IICM Austria Research and Development of the Department Multimedia Signal Processing Technical Committee IEEE Signal Processing Society United States IEEE Transactions on Circuits and systems for Video Technology College of Electrical Engineering and Computer Science National Taiwan Ocean University Keelung Taiwan Department of Electrical Engineering National Taiwan University Taiwan Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan IEEE Technical Committee on Real-Time Systems Computer Science Division IBM T.J. Watson Research Center United States IBM Research Division Graduate School of Information Sciences Tohoku University Japan ACM IPSJ Mathematical Society of Japan Japan Department of Computer Science Computer Science Department Carnegie Mellon University United States National Academies of Science's Computer Science and Telecommunications Board United States Microsoft's Trustworthy Academic Advisory Board Intel Research Pittsburgh's Advisory Board United States Dartmouth's Institute for Security Technology Studies Advisory Committee Canada Sloan Research Fellowships Program Committee United States ACM Taiwan China Information Sciences and Technology Pennsylvania State University United States Laboratory for Intelligent Agents Penn State's School of Info

No abstract available

关键词：

来源：评论

学校读者我要写书评

暂无评论

On extended finite element method (XFEM) for modelling of organ deformations associated with surgical cuts

引用

International Symposium on Medical Simulation, ISMS 2004

作者： Vigneron, Lara M. Verly, Jacques G. Warfield, Simon K. Signal Processing Group Department of Electrical Engineering and Computer Science University of Liège Belgium Surgical Planning Laboratory Brigham and Women’s Hospital and Harvard Medical School Boston United States

ISBN: (纸本)3540221867

The Extended Finite Element Method (XFEM) is a technique used in fracture mechanics to predict how objects deform as cracks form and propagate through them. Here, we propose the use of XFEM to model the deformations resulting from cutting through organ tissues. We show that XFEM has the potential for being the technique of choice for modelling tissue retraction and resection during surgery. Candidates applications are surgical simulators and image-guided surgery. A key feature of XFEM is that material discontinuities through FEM meshes can be handled without mesh adaptation or remeshing, as would be required in regular FEM. As a preliminary illustration, we show the result of XFEM calculation for a simple 2D shape in which a linear cut was made. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Finite element method

来源：评论

学校读者我要写书评

暂无评论

Blind identification of two dimensional Volterra models using minimax type of Optimization and higher-order cumulants

Blind identification of two dimensional Volterra models usin...

引用

Conference Record of the Thirty-Eighth Asilomar Conference on signals, Systems and computers

作者： Gansawat, Duangrat Stathaki, Tania Harris, Frederic J Communications and Signal Processing Group Department of EEE Imperial College London Exhibition Road London SW7 2AZ United Kingdom Electrical and Computer Engineering San Diego State University United States

In this contribution, we farther examine our previous studies on the nonlinear texture image modelling based on Volterra series. The observed image, which is assumed to be expressed as an output of a two dimensional Volterra filter driven by a Gaussian input image, is corrupted by an independent Gaussian random noise. Both of the input image and filter parameters are unknown, and hence, the problem can be classified as blind system identification. To estimate the unknown parameters, we formulate the equations that relate the parameters of the image model with the cumulant properties of the observed output image. The solution of the formulated equations which are highly nonlinear, is achieved through minimax type of Optimization. © 2004 IEEE.

关键词： Mathematical models

来源：评论

学校读者我要写书评

暂无评论

A two-dimensional autoregressive modelling technique using a constrained optimisation formulation and the minimum hierarchical clustering scheme

A two-dimensional autoregressive modelling technique using a...

引用

Conference Record of the Thirty-Eighth Asilomar Conference on signals, Systems and computers

作者： Lee, Sarah Stathaki, Tania Harris, Frederic J. Communications and Signal Processing Group Department of EEE Imperial College London Exhibition Road London SW7 2AZ United Kingdom Electrical and Computer Engineering San Diego State University CA 92182 United States

The problem of texture characterisation is attempted using a two-dimensional (2 - D) autoregressive (AR) modelling technique. Each distinct texture is represented by a different set of 2 - D AR model coefficients. A method to estimate AR model coefficients is proposed by relating the extended Yule-Walker system of equations in the third-order statistical domain to the same system in the second-order statistical domain using a constrained optimisation formulation. This method is applied to an image with a constant texture in block-by-block process, so that a number of sets of AR model coefficients are obtained. The minimum hierarchical clustering technique and a weighting scheme are then applied to these sets of coefficients, in order to obtain the final estimation. ©2004 IEEE.

关键词： signal processing

来源：评论

学校读者我要写书评

暂无评论

Parameterizable implementation of full search block matching algorithm using FPGA for real-time applications

Parameterizable implementation of full search block matching...

引用

IEEE International Caracas Conference on Devices, Circuits and Systems

作者： M. Mohammadzadeh M. Eshghi M.M. Azadfar ECE Faculty Shahid Beheshti University Electrical and Computer Engineering Faculty Shahid Beheshti University Multimedia and Signal Processing Group Iran Telecommunication Research Center

In this paper, a systolic array architecture for FSBMA is implemented by RTL-level VHDL for using as a motion estimation unit in low bit rate and real-time applications such as video telephony. This implementation is synthesized for two FPGA families, Xilinx Spartan II and Xilinx Virtex II and the results for area occupation and maximum opening frequency are presented. The results show it is possible to implement real-time video encoding systems with motion estimation, on a single FPGA chip.

关键词： Field programmable gate arrays Systolic arrays signal processing algorithms Application software Motion estimation Hardware Bandwidth Redundancy Telecommunication computing Array signal processing

来源：评论

学校读者我要写书评

暂无评论

On optimal multiwavelet shrinkage

On optimal multiwavelet shrinkage

引用

International Conference on signal processing Proceedings (ICSP)

作者： Tai-Chiu Hsung Pak-Kong Lun K.C. Ho Centre of Multimedia Signal Processing Department of Electronic and Information Engineering Hong Kong Polytechnic University Hong Kong China Department of Electrical and Computer Engineering University of Missouri Columbia USA

Recent studies show that multiwavelet approaches give consistently better performance over traditional wavelet approaches in application such as denoising. It is because multiwavelet transform, with appropriate initialization, provides better representation of signals so that their difference from noise can be clearly identified. Traditional multiwavelet denoising only considers multiwavelets of multiplicity 2. In this paper, we first suggest a simple 2nd order orthogonal prefilter design method for multiwavelets of higher multiplicity. Then, we study how to select optimal threshold for each resolution level. Simulation results show that higher multiplicity wavelets usually give better denoising results and the proposed threshold estimator suggests good indication for optimal thresholds.

关键词： Noise reduction signal processing Statistical distributions Noise level

来源：评论

学校读者我要写书评

暂无评论

Antiderivative series for differentiable functions

引用

International Journal of Mathematical Education in Science and Technology 2004年第5期35卷 725-731页

作者： Howard, Roy M. Communications and Signal Processing Group Department of Electrical and Computer Engineering Curtin University of Technology Perth 6845 Australia

A series defining the antiderivative of an nth order differentiable function is defined. This series provides an explicit expression for the second part of the Fundamental Theorem of Calculus and can facilitate the es...

关键词：

来源：评论

学校读者我要写书评

暂无评论

Blind identification of two dimensional Volterra models using minimax type of optimization and higher-order cumulants

Blind identification of two dimensional Volterra models usin...

引用

Asilomar Conference on signals, Systems & computers

作者： D. Gansawat T. Stathaki F.J. Harris Communications & Signal Processing Group Department of EEE Imperial College London London UK Electrical & Computer Engineering San Diego State University USA

In this contribution, we further examine our previous studies on the nonlinear texture image modelling based on Volterra series. The observed image, which is assumed to be expressed as an output of a two dimensional Volterra filter driven by a Gaussian input image, is corrupted by an independent Gaussian random noise. Both of the input image and filter parameters are unknown and hence, the problem can be classified as blind system identification. To estimate the unknown parameters, we formulate the equations that relate the parameters of the image model with the cumulant properties of the observed output image. The solution of the formulated equations which are highly nonlinear, is achieved through minimax type of optimization.

关键词： Minimax techniques Filters Nonlinear equations Gaussian noise Kernel signal processing Educational institutions System identification Parameter estimation Nonlinear systems

来源：评论

学校读者我要写书评

暂无评论

Frequency invariant beamforming in subbands

Frequency invariant beamforming in subbands

引用

Asilomar Conference on signals, Systems & computers

作者： Wei Liu S. Weiss Communications & Signal Processing Group Department of Electrical & Electronic Engineering Imperial College London UK Communications Research Group School of Electronics & Computer Science University of Southampton UK

In this paper, two subband implementations of a frequency invariant beamformer (FIB) are studied. In the first structure, the received array signals are split into subbands and an FIB is operated in each of the corresponding decimated subbands, with a potential of achieving a lower computational complexity. As the spatio-temporal distribution of the subband signals is different from the original fullband signal, a modified design method of the FIB is proposed. Based on the subband implementation, we then change the sensor spacings of different subband signals so that lower frequency bands have a larger spacing, which results in a class of FIBs with scaled aperture with improved performance in lower frequencies. Several design examples are given to show the performance of our new structures.

关键词： Frequency Array signal processing Design methodology Filter bank Computational complexity computer science Educational institutions Apertures Sonar applications Radar applications

来源：评论

学校读者我要写书评

暂无评论

A two-dimensional autoregressive modelling technique using a constrained optimisation formulation and the minimum hierarchical clustering scheme

A two-dimensional autoregressive modelling technique using a...

引用

Asilomar Conference on signals, Systems & computers

作者： S. Lee T. Stathaki F.J. Harris Communications & Signal Processing Group Department of EEE Imperial College London London UK Electrical & Computer Engineering San Diego State University CA USA

The problem of texture characterisation is attempted using a two-dimensional (2-D) autoregressive (AR) modelling technique. Each distinct texture is represented by a different set of 2-D AR model coefficients. A method to estimate AR model coefficients is proposed by relating the extended Yule-Walker system of equations in the third-order statistical domain to the same system in the second-order statistical domain using a constrained optimisation formulation. This method is applied to an image with a constant texture in block-by-block process, so that a number of sets of AR model coefficients are obtained. The minimum hierarchical clustering technique and a weighting scheme are then applied to these sets of coefficients, in order to obtain the final estimation.

关键词： Constraint optimization Equations Gaussian noise signal to noise ratio signal processing Educational institutions

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：