咨询与建议

限定检索结果

文献类型

  • 58 篇 期刊文献
  • 46 篇 会议
  • 1 篇 学位论文

馆藏范围

  • 105 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 91 篇 工学
    • 58 篇 电气工程
    • 46 篇 计算机科学与技术...
    • 29 篇 信息与通信工程
    • 7 篇 电子科学与技术(可...
    • 5 篇 控制科学与工程
    • 4 篇 机械工程
    • 4 篇 仪器科学与技术
    • 2 篇 力学(可授工学、理...
    • 2 篇 材料科学与工程(可...
    • 2 篇 石油与天然气工程
    • 2 篇 交通运输工程
    • 2 篇 生物医学工程(可授...
    • 2 篇 软件工程
    • 1 篇 动力工程及工程热...
    • 1 篇 测绘科学与技术
    • 1 篇 环境科学与工程(可...
    • 1 篇 生物工程
    • 1 篇 网络空间安全
  • 22 篇 理学
    • 10 篇 统计学(可授理学、...
    • 7 篇 数学
    • 6 篇 物理学
    • 2 篇 地球物理学
    • 2 篇 生物学
    • 1 篇 化学
  • 7 篇 管理学
    • 6 篇 管理科学与工程(可...
  • 6 篇 医学
    • 4 篇 临床医学
  • 3 篇 经济学
    • 3 篇 应用经济学
  • 3 篇 农学
  • 1 篇 法学
    • 1 篇 社会学
  • 1 篇 教育学
    • 1 篇 教育学
  • 1 篇 文学
    • 1 篇 新闻传播学
  • 1 篇 艺术学

主题

  • 105 篇 baum-welch algor...
  • 38 篇 hidden markov mo...
  • 24 篇 viterbi algorith...
  • 21 篇 hidden markov mo...
  • 8 篇 hmm
  • 8 篇 hidden markov mo...
  • 6 篇 em algorithm
  • 4 篇 turbo codes
  • 4 篇 forward algorith...
  • 4 篇 iterative decodi...
  • 4 篇 machine learning
  • 4 篇 missing observat...
  • 3 篇 reliability
  • 3 篇 fault diagnosis
  • 3 篇 incomplete data
  • 3 篇 forward-backward...
  • 3 篇 power line commu...
  • 3 篇 fritchman model
  • 3 篇 genetic algorith...
  • 2 篇 non-convex optim...

机构

  • 4 篇 univ delaware de...
  • 3 篇 univ calif los a...
  • 2 篇 univ witwatersra...
  • 2 篇 sichuan agr univ...
  • 2 篇 usn undersea war...
  • 1 篇 escuela politecn...
  • 1 篇 univ bergen dept...
  • 1 篇 indian sch mines...
  • 1 篇 jiujiang univ sc...
  • 1 篇 um dae ctr excel...
  • 1 篇 pesit dept mca b...
  • 1 篇 national enginee...
  • 1 篇 ping an technol ...
  • 1 篇 harvard univ dea...
  • 1 篇 soochow univ sch...
  • 1 篇 panjab univ dept...
  • 1 篇 mvgr coll engn d...
  • 1 篇 sun moon univ de...
  • 1 篇 beijing lab of i...
  • 1 篇 national institu...

作者

  • 4 篇 cheng ling
  • 4 篇 garcia-frias j
  • 3 篇 familua ayokunle...
  • 3 篇 villasenor jd
  • 2 篇 leandry leonce
  • 2 篇 li ding
  • 2 篇 wang jian
  • 2 篇 jahan majid vafa...
  • 2 篇 li rong
  • 2 篇 mujuni egbert
  • 2 篇 jayaweera sudhar...
  • 2 篇 brun morten
  • 2 篇 barakat ghias
  • 2 篇 mureithi eunice ...
  • 1 篇 sujbert laszlo
  • 1 篇 kwong s
  • 1 篇 roy diptendu sin...
  • 1 篇 kocer umay uzuno...
  • 1 篇 gultyaeva tatyan...
  • 1 篇 behera abhishek

语言

  • 96 篇 英文
  • 7 篇 其他
  • 2 篇 中文
检索条件"主题词=Baum-welch algorithm"
105 条 记 录,以下是91-100 订阅
排序:
Combined turbo detection and decoding for unknown ISI channels
收藏 引用
IEEE TRANSACTIONS ON COMMUNICATIONS 2003年 第1期51卷 79-85页
作者: Garcia-Frias, J Villasenor, JD Univ Delaware Dept Elect & Comp Engn Newark DE 19716 USA Univ Calif Los Angeles Dept Elect Engn Los Angeles CA 90024 USA
We present two decoding structures which combine turbo detection and decoding, allowing communication in the presence of intersymbol interference (ISI). The first one treats the ISI as another constituent decoder whic... 详细信息
来源: 评论
Comparing and evaluating HMM ensemble training algorithms using train and test and condition number criteria
收藏 引用
PATTERN ANALYSIS AND APPLICATIONS 2003年 第4期6卷 327-336页
作者: Davis, RIA Lovell, BC Univ Queensland Sch Informat Technol & Elect Engn Intelligent Real Time Imaging & Sensing Grp Brisbane Qld 4072 Australia
Hidden Markov Models have many applications in signal processing and pattern recognition, but their convergence-based training algorithms are known to suffer from over-sensitivity to the initial random model choice. T... 详细信息
来源: 评论
Localization of a linear structure object in medical images based on hidden Markov model
Localization of a linear structure object in medical images ...
收藏 引用
16th IEEE Symposium on Computer-Based Medical Systems
作者: Xu, T Xing, HC Nanjing Univ Aeronaut & Astronaut Dept Comp Sci & Engn Nanjing 210016 Peoples R China
In this paper a novel approach to localization of a linear structure object (spine) in medical images using one-dimensional Hidden Markov Model is proposed Feature sequence of a linear structure object is extracted by... 详细信息
来源: 评论
Hidden Gauss-Markov models for signal classification
收藏 引用
IEEE TRANSACTIONS ON SIGNAL PROCESSING 2002年 第6期50卷 1355-1367页
作者: Ainsleigh, PL Kehtarnavaz, N Streit, RL USN Undersea Warfare Ctr Newport RI 02841 USA Univ Texas Dept Elect Engn Richardson TX 75080 USA
Continuous-state hidden Markov models (CS-HMMs) are developed as a tool for signal classification. Analogs of the baum, Viterbi, and baum-welch algorithms are formulated for this class of models. The CS-HMM algorithms... 详细信息
来源: 评论
High-order extensions of the double chain Markov model
收藏 引用
STOCHASTIC MODELS 2002年 第2期18卷 193-227页
作者: Berchtold, A Univ Lausanne Inst Appl Math SSP BFSH2 CH-1015 Lausanne Switzerland Univ Washington Seattle WA 98195 USA
The Double Chain Markov Model is a fully Markovian model for the representation of time-series in random environments. In this article, we show that it can handle transitions of high-order between both a set of observ... 详细信息
来源: 评论
Turbo decoding of Gilbert-Elliot channels
收藏 引用
IEEE TRANSACTIONS ON COMMUNICATIONS 2002年 第3期50卷 357-363页
作者: Garcia-Frias, J Villasenor, JD Univ Delaware Dept Elect & Comp Engn Newark DE 19716 USA Univ Calif Los Angeles Dept Elect Engn Los Angeles CA 90024 USA
We describe parallel concatenated codes for communication over finite-state binary Markov channels. We present encoder design techniques and decoder processing modifications that utilize the a priori statistics of the... 详细信息
来源: 评论
Optimisation of HMM topology and its model parameters by genetic algorithms
收藏 引用
PATTERN RECOGNITION 2001年 第2期34卷 509-522页
作者: Kwong, S Chau, CW Man, KF Tang, KS City Univ Hong Kong Dept Comp Sci Kowloon Hong Kong Peoples R China City Univ Hong Kong Dept Elect Engn Kowloon Hong Kong Peoples R China
Hidden Markov model (HMM) is currently the most popular approach to speech recognition. However, the problems of finding a good HMM model and its optimised model parameters are still of great interest to the researche... 详细信息
来源: 评论
Joint turbo decoding and estimation of hidden Markov sources
收藏 引用
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS 2001年 第9期19卷 1671-1679页
作者: Garcia-Frias, J Villasenor, JD Univ Delaware Dept Elect & Comp Engn Newark DE 19716 USA Univ Calif Los Angeles Dept Elect Engn Los Angeles CA 90024 USA
We describe a joint source-channel scheme for modifying a turbo decoder in order to exploit the statistical characteristics of hidden Markov sources. The basic idea is to treat the trellis describing the hidden Markov... 详细信息
来源: 评论
Training hidden Markov models with multiple observations - A combinatorial method
收藏 引用
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2000年 第4期22卷 371-377页
作者: Li, XL Parizeau, M Plamondon, R CADlink Technol Corp Ottawa ON K1H 1E1 Canada Univ Laval Dept Genie Elect & Genie Informat St Foy PQ G1K 7P4 Canada Ecole Polytech Montreal PQ H3C 3A7 Canada
Hidden Markov models (HMMs) are stochastic models capable of statistical learning and classification. They have been applied in speech recognition and handwriting recognition because of their great adaptability and Ve... 详细信息
来源: 评论
A hidden Markov model-based algorithm for fault diagnosis with partial and imperfect tests
收藏 引用
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS 2000年 第4期30卷 463-473页
作者: Ying, J Kirubarajan, T Pattipati, KR Patterson-Hine, A Univ Connecticut Dept Elect & Syst Engn Storrs CT 06269 USA NASA Ames Res Ctr Moffett Field CA 94035 USA
ln this paper, we present a hidden Markov model (HMM) based algorithm for fault diagnosis in systems with partial and imperfect tests. The HMM-based algorithm Ends the most likely state evolution, given a sequence of ... 详细信息
来源: 评论