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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bouzid, A. Ellouze, N. |
| Copyright Year | 2004 |
| Description | Author affiliation: Dept. of Comput. Sci., Superior Inst. of Technol. Studies of Sfax, Tunisia (Bouzid, A.) |
| Abstract | This paper describes a new technique, called the empirical mode decomposition (EMD) that has recently been pioneered by N. E. Huang and al., for adaptively representing nonstationary signals as sums of zero-mean AM-FM components [N. E. Huang, et al., 1998]. The components, called intrinsic mode functions (IMFs), allow the analysis of frequency composition of one-dimensional signals. Applied to speech signal, the EMD allows us to study the different intrinsic oscillatory modes. Besides, computing the LPC analysis of each mode provides an estimation of formants. The presented method is firstly applied on a sum of pure frequency signals. Among different modes we can detect all frequencies taking a part of a signal. |
| Sponsorship | IEEE IEEE Finland Section IEEE SP/CAS Chapter, Finland EURASIP UCSB Tampere Univ. of Technol. Ecole Superieure des Sciences et Techniques de Tunis, ESSTT, Univ. of Manouba |
| Starting Page | 603 |
| Ending Page | 606 |
| File Size | 523654 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780383796 |
| DOI | 10.1109/ISCCSP.2004.1296465 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-03-21 |
| Publisher Place | Tunisia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computer science Speech analysis Shape Signal processing Educational institutions Time frequency analysis Wavelet analysis Linear predictive coding Iterative algorithms Signal analysis |
| Content Type | Text |
| Resource Type | Article |
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