|Publisher version (open access)||655 KB||Adobe Acrobat PDF||View/Open
Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/918966
- Minimum variance interpolation and spectral analysis
- The University of Newcastle. Faculty of Engineering & Built Environment, School of Electrical Engineering and Computer Science
- Interpolation and spectral analysis of signals from finite number of samples is considered. When the observed data is of finite length, interpolation and spectral analysis of bandlimited signals using Shanon's framework leads to erroneous results. In spectral analysis this phenomenon is known as the spectral leakage problem. In this paper we address this issue from a minimum variance estimation perspective, and treat the generic case where the signal is not necessarily bandlimited. In contrast to traditional windowing based methods, the minimum variance framework leads to a convolutive transformation of the data, which employs a linear predictor. Simulations indicate a significant improvement in the performance.
- 16th International Conference on Digital Signal Processing. DSP 2009: 16th International Conference on Digital Signal Processing: Proceedings (Santorini-Hellas, Greece 5-7 July, 2009)
- Publisher Link
- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- conference paper
- Copyright © 2009 IEEE. Reprinted from the DSP 2009: 16th International Conference on Digital Signal Processing: Proceedings. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of University of Newcastle's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to email@example.com. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.