Spectral analysis using the Karhunen-Loeve transform
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Summary
This paper deals with the resolution capability of the algorithm, which decomposes a vector time series into orthogonal components and finds that higher resolution than the conventional one can be achieved if the correlation matrix is estimated sufficiently exact.
- Type
- article
- Published
- 1979-04-02
- Cited by
- 8
- References
- 2
- OpenAlex
- https://openalex.org/W1756764187
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:5280307
Keywords
Karhunen–Loève theorem, Linear subspace, Eigenvalues and eigenvectors, Subspace topology, Maxima and minima
References
Cited by
- On the stability of some high-resolution beamforming methods
- Wideband source location through frequency-dependent modeling
- Multiple emitter location and signal Parameter estimation
- Interrelations between matched-field processing and airborne MTI radar
- On the sensitivity of orthogonal beamforming
- Evaluation of an orthogonal beamforming procedure using real data
- Maximum likelihood estimation and MUSIC in array localization signal processing: A review
- A Review on Multiple Emitter Location and Signal Parameter Estimation
- Vektorprozessoren zur Sonar-Feldverarbeitung
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