Multicomponent signal classification using the PMHT algorithm

被引：0
|
作者：
Ainsleigh, P [1 ]
Luginbuhl, T [1 ]
机构：
[1] USN, Undersea Warfare Ctr, Newport, RI 02841 USA
来源：
PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON INFORMATION FUSION, VOL I | 2002年
关键词：
classification; probablistic multi-hypothesis tracking; PMHT; hidden Markov model; HMM; continuous-state HMM; EM algorithm; forward-backward algorithm;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The probabilistic multi-hypothesis tracking (PMHT) algorithm is extended for application to classification. The PMHT model is reformulated as a bank of continuous-state hidden Harkov models, allowing for supervised learning of the class-conditional probability density models, and for likelihood evaluation of multicomponent signals.
引用
收藏
页码：751 / 757
页数：5
相关论文
共 50 条
  • [31] Associative Classification Using an Immune Optimization Algorithm
    Zhang Lei
    Meng Lingrui
    Hou Chunjie
    2012 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS (ICAL), 2012, : 179 - 184
  • [32] Food Classification Using Deep Learning Algorithm
    Jamnekar, R., V
    Keole, R. R.
    Mohod, S. W.
    Mahore, T. R.
    Pande, Sagar
    INTERNATIONAL CONFERENCE ON INNOVATIVE COMPUTING AND COMMUNICATIONS, ICICC 2022, VOL 3, 2023, 492 : 717 - 724
  • [33] Classification of disease recurrence using transition likelihoods with expectation-maximization algorithm
    Jiang, Huijun
    Li, Quefeng
    Lin, Jessica T.
    Lin, Feng-Chang
    STATISTICS IN MEDICINE, 2022, 41 (23) : 4697 - 4715
  • [34] Classification of Parkinson's Disease Using NNge Classification Algorithm.
    Alqahtani, Ebtesam J.
    Alshamrani, Fatimah H.
    Syed, Hajra F.
    Olatunji, Sunday O.
    2018 21ST SAUDI COMPUTER SOCIETY NATIONAL COMPUTER CONFERENCE (NCC), 2018,
  • [35] A log-likelihood function-based algorithm for QAM signal classification
    Yang, YP
    Liu, CH
    Soong, TW
    SIGNAL PROCESSING, 1998, 70 (01) : 61 - 71
  • [36] Anticipating Atrial Fibrillation Signal Using Efficient Algorithm
    Al-dabag, Mohand Lokman
    ALRikabi, Haider Th Salim
    Al-Nima, Raid Rafi Omar
    INTERNATIONAL JOURNAL OF ONLINE AND BIOMEDICAL ENGINEERING, 2021, 17 (02) : 106 - 120
  • [37] A Self Controlled Simulated Annealing Algorithm using Hidden Markov Model State Classification
    El Afia, Abdellatif
    Lalaoui, Mohamed
    Chiheb, Raddouane
    SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING IN DATA SCIENCES (ICDS2018), 2019, 148 : 512 - 521
  • [38] The Emotional State Classification using Physiological Signal Interpretation Framework
    Rattanadoung, Kitimapond
    Champrasert, Paskorn
    Aramkul, Somrawee
    2018 INTERNATIONAL CONFERENCE ON SIGNALS AND SYSTEMS (ICSIGSYS), 2018, : 79 - 85
  • [39] Classification of Electromyography Signal of Diabetes using Artificial Neural Networks
    Zulkifli, Muhammad Fathi Yakan
    Nasir, Noorhamizah Mohamed
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2022, 13 (11) : 433 - 438
  • [40] Human Motion Classification Using Radio Signal Strength in WBAN
    Archasantisuk, Sukhumarn
    Aoyagi, Takahiro
    Uusitupa, Tero
    Kim, Minseok
    Takada, Jun-ichi
    IEICE TRANSACTIONS ON COMMUNICATIONS, 2016, E99B (03) : 592 - 601
12345