Journal ArticleDOI
Blood velocity estimation using ultrasound and spectral iterative adaptive approaches
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TLDR
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.About:
This article is published in Signal Processing.The article was published on 2011-05-01. It has received 45 citations till now. The article focuses on the topics: Spectral density estimation.read more
Citations
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Journal ArticleDOI
Efficient Implementation of Iterative Adaptive Approach Spectral Estimation Techniques
TL;DR: This paper presents computationally efficient implementations for several recent algorithms based on the iterative adaptive approach for uniformly sampled one- and two-dimensional data sets, considering both the complete data case and the cases when the data sets are missing samples, either lacking arbitrary locations, or having gaps or periodically reoccurring gaps.
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Adaptive clutter suppression based on iterative adaptive approach for airborne radar
TL;DR: A novel IAA scheme to adaptively suppress the ground clutter by using the secondary training data (STD) and a modified IAA algorithm employing a soft-thresholding to adaptors determine the entries of each iteration that should be updated to reduce the computational complexity.
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Computationally Efficient Time-Recursive IAA-Based Blood Velocity Estimation
TL;DR: By exploiting the rich structure of the iterative adaptive approach (IAA) based estimator, this work examines how these estimates can be efficiently implemented in a time-recursive manner using both exact and approximate formulations of the method.
Journal ArticleDOI
An envelope signal based deconvolution algorithm for ultrasound imaging
TL;DR: A novel restoration method based on envelope models of the radio frequency (RF) and the point spread function (PSF) signals that can achieve significant improvement of the ultrasound images in terms of the resolution gain and signal-to-noise ratio (SNR).
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Full 3-D transverse oscillations: a method for tissue motion estimation
TL;DR: A new method to estimate 4-D (3-D + time) tissue motion by combining 3-D phase based motion estimation with an unconventional beamforming strategy that outperforms the conventional methods, especially in the transverse directions.
References
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Book
Spectral analysis of signals
Petre Stoica,Randolph L. Moses +1 more
TL;DR: 1. Basic Concepts. 2. Nonparametric Methods. 3. Parametric Methods for Rational Spectra.
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Calculation of pressure fields from arbitrarily shaped, apodized, and excited ultrasound transducers
TL;DR: A method for simulation of pulsed pressure fields from arbitrarily shaped, apodized and excited ultrasound transducers is suggested, which relies on the Tupholme-Stepanishen method for calculating pulsing pressure fields and can also handle the continuous wave and pulse-echo case.
Journal ArticleDOI
Source Localization and Sensing: A Nonparametric Iterative Adaptive Approach Based on Weighted Least Squares
TL;DR: This paper presents a nonparametric and hyperparameter, free-weighted, least squares-based iterative adaptive approach for amplitude and phase estimation (IAA-APES) in array processing and shows that further improvements in resolution and accuracy can be achieved by applying the parametric relaxation-based cyclic approach (RELAX).
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XXIV. Oscillatory motion of a viscous liquid in a thin-walled elastic tube—I: The linear approximation for long waves
TL;DR: In this article, the linear approximation for long waves was proposed. But the linear approximation was only applied to a viscous liquid in a thin-walled elastic tube, and it was not applied to the case of long waves.
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Sparse Learning via Iterative Minimization With Application to MIMO Radar Imaging
TL;DR: This paper compares SLIM, through imaging examples and examination of computational complexity, to several well-known sparse methods, including the widely used CoSaMP approach, and shows that SLIM provides superior performance for sparse MIMO radar imaging applications at a low computational cost.