Approximate Time-Variable Coherence Analysis of Multichannel Signals
Multidimensional Systems and Signal Processing
Multitaper estimators of polyspectra
Signal Processing
Optimization of weighting factors for multiple window spectrogram of event-related potentials
EURASIP Journal on Advances in Signal Processing - Special issue on applications of time-frequency signal processing in wireless communications and bioengineering
EURASIP Journal on Advances in Signal Processing - Special issue on recent advances in theory and methods for nonstationary signal analysis
A study of low-variance multi-taper features for distributed speech recognition
NOLISP'11 Proceedings of the 5th international conference on Advances in nonlinear speech processing
A virtual reality version of the trier social stress test: A pilot study
Presence: Teleoperators and Virtual Environments
Multitaper MFCC and PLP features for speaker verification using i-vectors
Speech Communication
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A multiple window method for estimation of the peaked power density spectrum is designed. The method optimizes a filter function utilizing the Karhunen-Loeve basis functions of a known peaked spectrum as windows to reduce variance and bias in the locality of the frequency peak. For improving performance, a penalty function is used to suppress the sidelobes outside a given bandwidth. The improved windows are obtained as the solution of a generalized eigenvalue problem. The bias at the frequency peak is reduced due to matching windows, while the variance is decreased by averaging uncorrelated periodograms. The method is compared with the Thomson multiple window estimator as well as to a single Hanning window in a simulation