Abstract
The introduction of a zoom technique which combines the advantages of subband decomposition and linear prediction for spectral-analysis applications is discussed. The efficiency of the technique is tested under different transform lengths, different linear prediction orders, different frequency components, and different SNR. As the number of subbands increases, the spectral resolution improves accordingly without increasing the transform length. The technique shows an equivalent or even superior performance, with the advantage of its reduced complexity.
Original language | English |
---|---|
Pages (from-to) | 2195-2206 |
Number of pages | 12 |
Journal | Signal Processing |
Volume | 84 |
Issue number | 11 SPEC. ISS. |
DOIs | |
Publication status | Published - Nov 2004 |
ASJC Scopus subject areas
- Control and Systems Engineering
- Software
- Signal Processing
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering