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Volumn , Issue , 2008, Pages 101-104

Adaptive empirical mode decomposition for signal enhancement with application to speech

Author keywords

Empirical mode decomposition; Intrinsic mode function; Segmental SNR; Speech enhancement

Indexed keywords

ADAPTIVE BASIS; ADAPTIVE NOISE CANCELLATION; BASIS FUNCTIONS; EMPIRICAL MODE DECOMPOSITION; FINITE NUMBERS; INTERNATIONAL CONFERENCES; INTRINSIC MODE FUNCTION; INTRINSIC MODE FUNCTIONS; MULTI-RESOLUTION APPROACH; NON-STATIONARY SIGNALS; RESIDUAL NOISES; SEGMENTAL SNR; SIGNAL ENHANCEMENT; SPECTRAL ANALYSES;

EID: 52949104839     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IWSSIP.2008.4604377     Document Type: Conference Paper
Times cited : (10)

References (8)
  • 3
    • 33751305390 scopus 로고    scopus 로고
    • Signal processing in high end hearing aids: State of the art, challenges and future trends
    • V. Hamacher et al., "Signal processing in high end hearing aids: State of the art, challenges and future trends," EURASIP Journal on Applied Signal Processing, vol. 18, pp. 2915-2929, 2005.
    • (2005) EURASIP Journal on Applied Signal Processing , vol.18 , pp. 2915-2929
    • Hamacher, V.1
  • 4
    • 5444236478 scopus 로고    scopus 로고
    • The Empirical mode decomposition and the Hubert spectrum for nonlinear and non-stationary time series analysis
    • N. E. Huang et al., "The Empirical mode decomposition and the Hubert spectrum for nonlinear and non-stationary time series analysis," in Proc. Royal Society London A, vol. 454, pp. 903-995, 1998.
    • (1998) Proc. Royal Society London A , vol.454 , pp. 903-995
    • Huang, N.E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.