Topic
Spectral density estimation
About: Spectral density estimation is a research topic. Over the lifetime, 5391 publications have been published within this topic receiving 123105 citations.
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Papers
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TL;DR: An algorithm to estimate the instantaneous power spectral density (PSD) of nonstationary signals is described, based on a dual Kalman filter that adaptively generates an estimate of the autoregressive model parameters at each time instant.
Abstract: We describe an algorithm to estimate the instantaneous power spectral density (PSD) of nonstationary signals. The algorithm is based on a dual Kalman filter that adaptively generates an estimate of the autoregressive model parameters at each time instant. The algorithm exhibits superior PSD tracking performance in nonstationary signals than classical nonparametric methodologies, and does not assume local stationarity of the data. Furthermore, it provides better time-frequency resolution, and is robust to model mismatches. We demonstrate its usefulness by a sample application involving PSD estimation of intracranial pressure signals (ICP) from patients with traumatic brain injury (TBI).
45 citations
14 May 2006
TL;DR: Simulations show that the MVDR method can be used to estimate the magnitude squared coherence (MSC) function, which is very useful in so many applications but so few methods exist to estimate it.
Abstract: The minimum variance distortionless response (MVDR), originally developed by Capon for frequency-wavenumber analysis, is a very well established method in array processing. It is also used in spectral estimation. The aim of this paper is to show how the MVDR method can be used to estimate the magnitude squared coherence (MSC) function, which is very useful in so many applications but so few methods exist to estimate it. Simulations show that our algorithm gives much more reliable results than the one based on the popular Welch's method.
45 citations
TL;DR: In this article, the least-square and least-absolute-value techniques are applied to the voltage harmonic estimation of a three-phase six-pulse converter, and compared with respect to the signal/no noise ratio, number of samples, sampling frequency, computation time and missing data.
45 citations
TL;DR: Two novel iterative data-adaptive spectral estimation techniques for blood velocity estimation using medical ultrasound scanners are proposed, allowing for accurate estimation of the blood velocity spectrum using only 30% of the transmissions, thereby allowing for the examination of two separate vessel regions while retaining an adequate updating rate of the B-mode images.
45 citations
TL;DR: An arbitrary-radix fast Fourier transform algorithm and the design of its implementing signal processing machine are introduced, which yields an implementation with a level of parallelism proportional to the radix r of factorization of the discrete Fouriertransform.
Abstract: An arbitrary-radix fast Fourier transform algorithm and a design of its implementing signal processing machine are introduced. The algorithm yields an implementation with a level of parallelism proportional to the radix r of factorization of the discrete Fourier transform, allows 100 percent utilization of the arithmetic unit, and yields properly ordered Fourier coefficients without the need for pre- or postordering of data.
44 citations