检索结果-内蒙古大学图书馆

2006 IEEE International Conference on Acoustics, Speech and signal processing, ICASSP 2006

作者： Clemins, Patrick J. Trawicki, Marek B. Adi, Kuntoro Jidong, Tao Johnson, Michael T. Marquette University Department of Electrical and Computer Engineering Speech and Signal Processing Lab. P.O. Box 1881 Milwaukee WI 53201-1881 United States

ISBN: (纸本)142440469X

This paper introduces the Greenwood Function Cepstral Coefficient (GFCC) and Generalized Perceptual Linear Prediction (GPLP) feature extraction models for the analysis of animal vocalizations across arbitrary species. These features are generalizations of the well-known Mel-Frequency Cepstral Coefficient (MFCC) and Perceptual Linear Prediction (PLP) approaches, tailored to take optimal advantage of availab.e knowledge of each species' auditory frequency range and/or audiogram data. Illustrative results are presented comparing use of the GFCC and GPLP features versus MFCC features over the same frequency ranges. © 2006 IEEE.

关键词： Speech analysis

来源：评论

学校读者我要写书评

暂无评论

An improved variable step size LMS adaptive filtering algorithm and its analysis

An improved variable step size LMS adaptive filtering algori...

引用

2006 International Conference on Communication technology, ICCT '06

作者： Tang, Jia Zhang, Jia Shu Wang, Jie Key Lab. of Signal and Information Processing Southwest Jiaotong University Chengdu Si-Chuan China Third Department Electronic Technology Group Corporation No.29 Research Institute Chengdu Si-Chuan China

ISBN: (纸本)1424408016

Aiming at the shortcoming of the former algorithms that the performance is not very good when signal to Interference ratio (SIR) appeared on the primary input is low, this paper proposes an improved algorithm of variable step size LMS adaptive filtering algorithm, establishes a new non-linear functional relationship between step factor and system output error and analyzes the affection of interference to the step factor in the improved algorithm. The theoretical analysis indicates that in the condition of low SIR, the improved algorithm is insensitive to the interference and has preferable convergence performance over the former algorithms. computer simulation results confirm the theoretical analysis.

关键词： Adaptive algorithms

来源：评论

学校读者我要写书评

暂无评论

Rate-distortion optimized image compression using generalized principal component analysis

Rate-distortion optimized image compression using generalize...

引用

2006 IEEE International Conference on Acoustics, Speech and signal processing, ICASSP 2006

作者： Ahn, Dohyun Kim, Chang-Su Lee, Sang-Uk Signal Processing Lab. School of Electrical Engineering and Computer Science Seoul National University Seoul 151-741 Korea Republic of Dept. Electronics Eng. Korea University Seoul 136-701 Korea Republic of

ISBN: (纸本)142440469X

A novel image compression algorithm based on generalized principal component analysis (GPCA) is proposed in this work. Each image block is first classified into a subspace and is represented with a linear combination of the basis vectors for the subspace. Therefore, the encoded information consists of subspace indices, basis vectors and transform coefficients. We adopt a vector quantization scheme and a predictive partial matching scheme to encode subspace indices and basis vectors, respectively. We also propose a rate-distortion optimized quantizer to encode transform coefficients efficiently. Simulation results demonstrate that the proposed algorithm provides better compression performance than JPEG, especially at low bitrates. © 2006 IEEE.

关键词： Image compression

来源：评论

学校读者我要写书评

暂无评论

Visualization of dynamic brain activities based on the single-trial MEG and EEG data analysis

Visualization of dynamic brain activities based on the singl...

引用

3rd International Symposium on Neural Networks, ISNN 2006 - Advances in Neural Networks

作者： Cao, Jianting Zhao, Liangyu Cichocki, Andrzej Department of Electronic Engineering Saitama Institute of Technology 1690 Fusaiji Fukaya-shi Saitama 369-0293 Japan Lab. for Advanced Brain Signal Processing Brain Science Institute RIKEN 2-1 Hirosawa Wako-shi Saitama 351-0198 Japan

ISBN: (纸本)3540344829

Treating an averaged evoked-fields (EFs) or event-related potentials (ERPs) data is a main approach in the topics on applying Independent Component Analysis (ICA) to neurobiological signal processing. By taking the average, the signal-noise ratio (SNR) is increased, however some important information such as the strength of an evoked response and its dynamics (trial-by-trial variations) will be lost. The single-trial data analysis, on the other hand, can avoid this problem but the poor SNR is necessary to be improved. This paper presents a robust multi-stage data analysis method for the single-trial Magnetoencephalograph (MEG) and Electroencephalograph (EEG) recorded data. In the pre-processing stage, a robust subspace method is firstly applied for reducing a high-level unique component (additive noise) in single-trial raw data. In the second stage, a parameterized t-distribution ICA method is applied for further decomposing the overlapped common components (sources). In the post-processing stage, the source localization or scalp mapping technique and post-averaging technique are applied for visualizing the dynamic brain activities. The results on single-trial MEG and EEG data analysis both illustrate the high performances not only in the visualization of the behavior and location but also in the visualization of the trial-by-trial variations of individual evoked brain response. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Biomedical engineering

来源：评论

学校读者我要写书评

暂无评论

Bayesian-based Wavelet Shrinkage for SAR Image Despeckling Using Cycle Spinning

引用

Journal of Electronic Science and technology of China 2006年第2期4卷 127-131页

作者：张德祥高清维陈军宁 Key Lab. of Intelligent Computing and Signal Processing Anhui University Hefei 230039 China School of Electronic Science and Technology Anhui University Hefei 230039 China

A novel and efficient speckle noise reduction algorithm based on Bayesian wavelet shrinkage using cycle spinning is proposed. First, the sub-band decompositions of non-logarithmically transformed SAR images are shown. Then, a Bayesian wavelet shrinkage factor is applied to the decomposed data to estimate noise-free wavelet coefficients. The method is based on the Mixture Gaussian Distributed （MGD） modeling of sub-band coefficients. Finally, multi-resolution wavelet coefficients are reconstructed by wavelet-threshold using cycle spinning. Experimental results show that the proposed despeclding algorithm is possible to achieve an excellent balance between suppresses speckle effectively and preserves as many image details and sharpness as possible. The new method indicated its higher performance than the other speckle noise reduction techniques and minimizing the effect of pseudo-Gibbs phenomena.

关键词： discrete wavelet transform Synthetic Aperture Radar （SAR） despeclding cycle spinning BayesShrink

来源：评论

学校读者我要写书评

暂无评论

A Novel Approch for Clustering of Chinese Text Based on Concept Hierarchy

A Novel Approch for Clustering of Chinese Text Based on Conc...

引用

IEEE International Conference on Cognitive Informatics

作者： Peng Zhao Huan-Tong Geng Qing-Sheng Cai University of Science and Technology Hefei China Key Lab. Intelligent Computing & Signal Processing of Ministry of Education Anhui University Hefei China

After analyzing the disadvantages of traditional text clustering method based on keywords set, a novel approach for clustering of Chinese text based on concept hierarchy is presented. It introduces a Chinese topic classify dictionary as background knowledge to clustering of Chinese text. It adopts a hierarchical coding system which reflects concept relevance among different words and uses vector space model based on concept hierarchy to represent Chinese text. The experimental results show this approach is more effective than traditional text clustering method based on keywords set

关键词： Dictionaries Space technology Clustering methods Documentation Text mining Clustering algorithms Frequency computer science signal processing signal analysis

来源：评论

学校读者我要写书评

暂无评论

Limits of ultra-wideband communication over copper

Limits of ultra-wideband communication over copper

引用

2006 International Conference on Communication technology, ICCT '06

作者： Magesacher, T. Rius I Riut, J. Ödling, P. Börjesson, P.O. Tilocca, M. Valentini, M. Department of Information Technology Lund University P.O. Box 118 S-22100 Lund Sweden Access Signal Processing Lab. Ericsson AB P.O. Box 1505 S-12525 Stockholm Sweden Telecom Italia Via Reiss Romoli 274 10148 Torino Italy

ISBN: (纸本)1424408016

Wireline communication using the copper plant is one of the major access techniques. The shorter the wires, the larger is the frequency band that can be exploited in an economically feasible way. Several technologies using frequency bands up to 30MHz have been standardized during the last decade. Properties of the wireline channel for frequencies above 30 MHz are to a large extent unexplored. This paper investigates the limits of "ultra-wideband" communication over very short copper cables in terms of exploitable bandwidth and data rate. Extrapolations of standard cable models, whose validity has been verified by means of measurements, are used for channel modeling. The CISPR 22 standard forms the basis for the analysis of ingress and egress.

关键词： Broadband networks

来源：评论

学校读者我要写书评

暂无评论

H. 264 bit rate transcoding scheme based on PID controller

引用

Tien Tzu Hsueh Pao/Acta Electronica Sinica 2006年第6期34卷 1062-1065页

作者： Xiu, Xiao-Yu Zhuo, Li Shen, Lan-Sun Signal and Information Processing Lab. Beijing University of Technology Beijing 100022 China

An efficient H. 264 bit rate transcoding scheme based on PID controller, is proposed in this paper. In the scheme, simplified cascaded pixel domain transcoding structure is adopted to reduce the computational complexity while remaining the reconstructed video quality. Furthermore, a PID controller is introduced in the picture layer to ensure the output bit rate consistent with the target bit rate. The experimental results show that, the scheme proposed in the paper can achieve high bit rate accuracy, which is an efficient bit rate transcoding scheme.

关键词： Image coding

来源：评论

学校读者我要写书评

暂无评论

Artificial neural networks & multilevel 2-D wavelet decomposition code-based iris recognition

Advances in Modelling and Analysis B

引用

Advances in Modelling and Analysis B 2006年第5-6期48卷 25-38页

作者： Adjoudj, R. Boukelif, A. Computer Science Dept. University of Sidi Bel Abbes Sidi Bel Abbes Algeria Digital Signal Processing Lab. Electronics Dept. University of Sidi Bel Abbes Sidi Bel Abbes Algeria

An iris recognition involves analyzing features found in the colored ring of tissue that surrounds the pupil. This biometric has the potential for higher than average template-matching performance. Easy of use and system integration has not traditionally been strong points with iris scanning devices but as new products emerge, improvements should be expected. This document demonstrates how a iris recognition system can be designed by artificial neural network as a matching/recognising algorithm, which use Multilevel 2-D wavelet decomposition code of iris image. Note that the training process did not consist of a single call to a training function. Instead, the network was trained several times on various input ideal and noisy images coded by Multilevel 2-D Wavelet decomposition, the images which contents iris. In this case training a network on different sets of noisy images forced the network to learn how to deal with noise, a common problem in the real world.

关键词： Pattern recognition

来源：评论

学校读者我要写书评

暂无评论

Bayesian-based Wavelet Shrinkage for SAR Image Despeckling Using Cycle Spinning

引用

Journal of Electronic Science and technology 2006年第2期000卷 127-131页

作者： ZHANG De-xiang GAO Qing-wei CHEN Jun-ning Key Lab. Of Intelligent Computing and Signal Processing Anhui University Hefei 230039 China School of Electronic Science and Technology Anhui University Hefei 230039 China School of Electronic Science and Technology Anhui University Hefei 230039 China

A novel and efficient speckle noise reduction algorithm based on Bayesian wavelet shrinkage using cycle spinning is proposed. First, the sub-band decompositions of non-logarithmically transformed SAR images are shown. Then, a Bayesian wavelet shrinkage factor is applied to the decomposed data to estimate noise-free wavelet coefficients. The method is based on the Mixture Gaussian Distributed (MGD) modeling of sub-band coefficients. Finally, multi-resolution wavelet coefficients are reconstructed by wavelet-threshold using cycle spinning. Experimental results show that the proposed despeckling algorithm is possible to achieve an excellent balance between suppresses speckle effectively and preserves as many image details and sharpness as possible. The new method indicated its higher performance than the other speckle noise reduction techniques and minimizing the effect of pseudo-Gibbs phenomena.

关键词： discrete wavelet transform Synthetic Aperture Radar (SAR) despeckling cycle spinning BayesShrink

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：