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Multivariate spectral estimation based on THREE
- Source :
- The Journal of China Universities of Posts and Telecommunications. 22:26-32
- Publication Year :
- 2015
- Publisher :
- Elsevier BV, 2015.
-
Abstract
- Power spectrum estimation is to use the limited length of data to estimate the power spectrum of the signal. In this paper, we study the recently proposed tunable high-resolution estimator (THREE), which is based on the best approximation to a given spectrum, with respect to different notions of distance between power spectral densities. We propose and demonstrate a different distance for the optimization part to estimate the multivariate spectrum. Its effectiveness is tested through Matlab simulation. Simulation shows that our approach constitutes a valid estimation procedure. And we also demonstrate the superiority of the method, which is more reliable and effective compared with the standard multivariate identification techniques.
- Subjects :
- Multivariate statistics
Mathematical optimization
Computer Networks and Communications
Spectrum (functional analysis)
Spectral density estimation
Spectral density
Estimator
Power (physics)
Identification (information)
Signal Processing
Convex optimization
Algorithm
Information Systems
Mathematics
Subjects
Details
- ISSN :
- 10058885
- Volume :
- 22
- Database :
- OpenAIRE
- Journal :
- The Journal of China Universities of Posts and Telecommunications
- Accession number :
- edsair.doi...........2a97e61ffb48b69c7bbbca518554c213