多普勒超声血流信号是一个非平稳的高斯随机过程，其时频分布与血流的速度及其变化有密切的关系。
The Doppler blood flow signal is inherently a nonstationary Gaussian random process whose time-frequency representation associates with the time-varying velocity of blood flow and its variations.
超声多普勒血流信号声谱图包络是声谱参数提取的基础，能为临床心血管疾病的诊断提供重要信息。
The spectrogram envelop of Doppler ultrasound blood flow signals from which spectrogram parameters can be estimated is important to clinical diagnosis of cardiovascular diseases.
提出一种基于全局优化的动态规划算法以进行超声多普勒血流信号最大频率曲线的提取。
A dynamic programming algorithm based on the global optimization is presented to extract the maximum frequency waveform of the Doppler ultrasound blood flow signal.
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