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Volumn , Issue , 2004, Pages 326-331

On the extraction of the snore acoustic signal by independent component analysis

Author keywords

Independent component analysis; Non invasive measurement; Snoring

Indexed keywords

ACOUSTIC SIGNAL PROCESSING; BIOMEDICAL ENGINEERING; BLIND SOURCE SEPARATION; DIAGNOSIS; ELECTROCARDIOGRAPHY; FEATURE EXTRACTION; INDEPENDENT COMPONENT ANALYSIS; PATIENT MONITORING; PIEZOELECTRIC DEVICES;

EID: 11144349651     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (2)

References (14)
  • 1
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    • Independence, a new criterion for the analysis of the electromagnetic fields in the global brain?
    • R. Vigario and E. Oja, Independence, a new criterion for the analysis of the electromagnetic fields in the global brain?, Neural Networks, 13 (8-9), 2000, 891-907.
    • (2000) Neural Networks , vol.13 , Issue.8-9 , pp. 891-907
    • Vigario, R.1    Oja, E.2
  • 5
    • 0030025845 scopus 로고    scopus 로고
    • Snoring: Analysis, measurement, clinical implications and applications
    • F. Dalmasso and R. Prota, Snoring: analysis, measurement, clinical implications and applications, European Respiratory Journal, 9, 1996, 146-159.
    • (1996) European Respiratory Journal , vol.9 , pp. 146-159
    • Dalmasso, F.1    Prota, R.2
  • 6
    • 0030070789 scopus 로고    scopus 로고
    • Snoring
    • V. Hoffstein, Snoring, Chest,109, 1996, 201-222.
    • (1996) Chest , vol.109 , pp. 201-222
    • Hoffstein, V.1
  • 7
    • 0033341734 scopus 로고    scopus 로고
    • Source separation in postnonlinear mixtures
    • A. Taleb and C. Jutten, Source separation in postnonlinear mixtures, IEEE Trans, on Signal Processing, 47(10), 1999, 2807-2820.
    • (1999) IEEE Trans, on Signal Processing , vol.47 , Issue.10 , pp. 2807-2820
    • Taleb, A.1    Jutten, C.2
  • 8
    • 0344505705 scopus 로고    scopus 로고
    • Independent component analysis in the presence of Gaussian noise by maximizing joint likelihood
    • A. Hyvärinen, Independent component analysis in the presence of Gaussian noise by maximizing joint likelihood, Neurocomputing, 22, 1998, 49-67.
    • (1998) Neurocomputing , vol.22 , pp. 49-67
    • Hyvärinen, A.1
  • 11
    • 0032629347 scopus 로고    scopus 로고
    • Fast and robust fixed-point algorithms for independent component analysis
    • A. Hyvärinen, Fast and robust fixed-point algorithms for Independent Component Analysis, IEEE Trans. on Neural Networks, 10(3), 1999, 626-634.
    • (1999) IEEE Trans. on Neural Networks , vol.10 , Issue.3 , pp. 626-634
    • Hyvärinen, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.