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首页> 外文期刊>IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control >Low-order AR models for mean and maximum frequency estimation in the context of Doppler color flow mapping
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Low-order AR models for mean and maximum frequency estimation in the context of Doppler color flow mapping

机译：在多普勒色彩流映射中用于平均和最大频率估计的低阶AR模型

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摘要

Autoregressive (AR) techniques are investigated by developing mean and maximum frequency estimators suitable for use in Doppler color flow mapping systems, where they are most needed. The estimators are based on low-order (for computational efficiency) AR models applied to complex signals whose real and imaginary parts are the in-phase and quadrature components of the analytical Doppler signal, respectively. A large number of simulated data sequences generated by a sinusoidal computer model and having different number of samples, spectral shapes, bandwidths, and signal-to-noise ratios are used to examine the performance (bias and variance) of the estimators in a systematic manner. Comparisons are made with the established autocorrelation technique, whose output is shown to be identical to one of the AR mean frequency estimators described.
机译：通过开发适用于最需要多普勒彩色流图绘制系统的均值和最大频率估计器，研究自回归（AR）技术。估计器基于应用于复杂信号的低阶（为了提高计算效率）AR模型，其实部和虚部分别是解析多普勒信号的同相和正交分量。由正弦计算机模型生成的大量模拟数据序列，并具有不同数量的样本，频谱形状，带宽和信噪比，用于系统地检查估计器的性能（偏差和方差） 。使用已建立的自相关技术进行比较，该技术的输出显示与所述的AR平均频率估算器之一相同。

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