A unified view of multitaper multivariate spectral estimation

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Temporal structure in neuronal activity during working memory in macaque parietal cortex (2000, background): “Multitaper estimates form a general class that subsume conventional estimates such as lag window and overlap-add estimates (Walden, 2000).”
Analyzing information flow in brain networks with nonparametric Granger causality (2008, methodology): “The multitaper spectral and cross-spectral method introduced by Thomson (1982) is known to provide smooth spectral density function estimates (Percival and Walden, 1993; Percival and Walden, 2000; Walden, 2000; Mitra and Pesaran, 1999).”
Multivariate spectral analysis using Cholesky decomposition (2004, background): “The multitaper spectral estimator is consistent (Thomson, 1982; Walden, 2000) only when the number of tapers m increases with the sample size T.”