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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Weizhong Chen Griswold, N.C. |
| Copyright Year | 1994 |
| Description | Author affiliation: Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA (Weizhong Chen; Griswold, N.C.) |
| Abstract | The paper describes a new approach to the recursive time-varying Fourier transform (TVFT) or short-time Fourier transform (STFT), which corresponds to a half-sine wave moving window. The new recursive procedure is more efficient than that of the third-order real-pole window and requires about 41% of the computation required by a recursive Hamming or Hanning window. The half-sine wave window is finite, absolutely symmetric, and has negligibly small sidelobes in the frequency domain. It is shown that this half-sine wave window is better for real-time processing than a Hamming or a Hanning window due to its better utilization of signal energy. It is also indicated that the new recursive procedure operates equally well for adaptive estimation of average-based features such as lattice filter coefficients. In this case, by using the recursive half-sine wave window, only one real-multiplication operation is needed in one step of updating. |
| Starting Page | 284 |
| Ending Page | 286 |
| File Size | 265903 |
| Page Count | 3 |
| File Format | |
| ISBN | 0780321278 |
| DOI | 10.1109/TFSA.1994.467238 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1994-10-25 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fourier transforms Frequency domain analysis Adaptive estimation Adaptive filters Computational efficiency Signal processing Lattices Sampling methods |
| Content Type | Text |
| Resource Type | Article |
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