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Volumn 2, Issue , 2000, Pages 649-652

Data-driven time-frequency classification techniques applied to tool-wear monitoring

Author keywords

[No Author keywords available]

Indexed keywords

CUTTING TOOLS; PATTERN RECOGNITION; SIGNAL PROCESSING; SPECTROGRAPHS; WEAR OF MATERIALS; ACCELEROMETERS; ALGORITHMS; FOURIER TRANSFORMS; FUNCTIONS; MARKOV PROCESSES; MATHEMATICAL MODELS; MILLING CUTTERS; MONITORING; VECTOR QUANTIZATION;

EID: 0033676838     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2000.859043     Document Type: Conference Paper
Times cited : (12)

References (8)
  • 1
    • 0030643262 scopus 로고    scopus 로고
    • Class-dependent time-frequency distributions via operator theory
    • J. McI.aughlin, J. Droppo, and L. Atlas, "Class-dependent time-frequency distributions via operator theory," JCASSP '97, 3, 1997.
    • (1997) JCASSP '97 , vol.3
    • McLaughlin, J.1    Droppo, J.2    Atlas, L.3
  • 2
    • 0026727385 scopus 로고
    • Regularity and unitarity of bilinear time-frequency signal representations
    • F. Hlawatsch, "Regularity and unitarity of bilinear time-frequency signal representations," IEEE Trans. on Inforinalion Theors', 38(1), pp. 82-94, 1992.
    • (1992) IEEE Trans. On Inforinalion Theors , vol.38 , Issue.1 , pp. 82-94
    • Hlawatsch, F.1
  • 3
    • 85017286553 scopus 로고    scopus 로고
    • Optimizing Time-Frequency kernels for classification
    • IEEE Trans. on Signal Processing
    • B.W. Gillespie and L.E. Atlas, "Optimizing Time-Frequency Kernels for Classification," submitted to IEEE Trans. on Signal Processing, 1999.
    • (1999) Submitted to
    • Gillespie, B.W.1    Atlas, L.E.2
  • 5
    • 0032629718 scopus 로고    scopus 로고
    • Optimization of time and frequency resolution for radar transmitter identification
    • B.W. Gillespie and L.E. Atlas, "Optimization of Time and Frequency Resolution for Radar Transmitter Identification," ICASSP '98, 1998.
    • (1998) ICASSP '98
    • Gillespie, B.W.1    Atlas, L.E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.