This chapter discusses Bayesian Bayesian Inference in Signal Processing, which automates the very labor-intensive and therefore time-heavy and expensive process of model selection and selection of discrete-time components of a model.Expand

Two families of orthonormal tapers are proposed for multitaper spectral analysis: minimum bias tapers, and sinusoidal tapers {/spl upsisup (k/)}, where /spl upsisub nsup (k/)=/spl… Expand

A hybrid estimator of the log-spectral density of a stationary time series is proposed, which reduces the expected mean square error by (/spl pi//sup 2//4)/sup 4/5/ over simply smoothing the log tapered periodogram.Expand

Proceedings of IEEE-SP International Symposium on…

25 October 1994

We study time-varying spectral estimation for nonstationary processes with restricted time-frequency (TF) correlation. We present explicit bias and variance expressions for quadratic TF-invariant… Expand

The author shows that estimating the instantaneous frequency corresponds to estimating the first derivative of a modulated signal, A(t)exp(i/spl phi/(t), and the halfwidth which minimizes the expected error is larger.Expand

Complex demodulation of evolutionary spectra is formulated as a two-dimensional kernel smoother in the time-frequency domain, where the optimal taper length is a small fraction of the optimal kernel halfwidth and the ratio of the ideal-frequency halfwidth to the optimal-time halfwidth is determined.Expand

Two new scaling expressions for tokamak L-mode energy confinement are proposed, namely a power law scaling and an offset-linear scaling, which can be transformed to forms very close to most of the common scaling expressions.Expand

The relative root mean squared errors (RMSE) of nonparametric methods for spectral estimation is compared for microwave scattering data of plasma fluctuations. These methods reduce the variance of… Expand