Group delay based magnitude square coherence estimation by an ARMA model
Signal Processing
Digital signal processing (3rd ed.): principles, algorithms, and applications
Digital signal processing (3rd ed.): principles, algorithms, and applications
Performance analysis of DOA estimation based on nonlinear functions of covariance matrix
Signal Processing - Special issue on subspace methods, part I: array signal processing and subspace computations
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IEEE Transactions on Signal Processing
Theory and application of covariance matrix tapers for robustadaptive beamforming
IEEE Transactions on Signal Processing
Complex amplitude estimation in the known steering matrix and generalized waveform case
IEEE Transactions on Signal Processing
Noise reduction algorithms in a generalized transform domain
IEEE Transactions on Audio, Speech, and Language Processing
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In this paper, several seemingly disparate non-parametric magnitude squared coherence (MSC) estimation methods, including Welch's averaged periodogram, the minimum variance distortionless response (MVDR), and the canonical correlation analysis (CCA) methods, are treated in a unified way, which makes it simpler to understand the methods and their properties. This uncovered relationship also brings out a new class of MSC estimators in terms of non-linear functions of the covariance matrix.