In this paper, a high-resolution time-frequency (TF) analysis method is presented for the
analysis of strongly non-stationary signals. TF representations generated by conventional …

Hidden Markov model (HMM) has been widely applied in bearing performance degradation
assessment. As a machine learning-based model, its accuracy, subsequently, is dependent …

This paper addresses the problem of estimating the parameters of adaptive directional time–
frequency distributions (ADTFDs). ADTFDs locally optimize the direction of the smoothing …

Micro-Doppler frequency estimation is an important issue for radar target recognition and
localization. In this paper, a novel approach is proposed to accurately estimate the micro …

After summarizing the advantages and disadvantages of current integral methods, a novel
vibration signal integral method based on feature information extraction was proposed. This …

Vibration responses of nonlinear or time-varying dynamical systems are always
nonstationary. Time–frequency representation becomes a necessary approach to analysis …

We propose a novel localization algorithm based on the Hough transform for Doppler
through-wall radar (TWR) human sensing. This algorithm utilizes a novel Bezier fitting …

多普勒穿墙雷达在定位墙后目标时, 存在以下两个难点:(1) 准确获取频率混叠区域目标瞬时频率;
(2) 通过获取精确的墙体参数来减小墙体对定位造成的影响. 针对以上问题该文提出了一种结合 …

The Performance of rolling element bearings has a significant influence on reliability and
safety in the various engineering fields. While heading toward the condition evaluation of …

本文提出了一种基于改进Hough 变换频率拟合技术的目标定位算法, 通过动态调整两个形状
参数构造扩展贝塞尔频率拟合模型, 利用拟合的曲线解调回波信号完成对多个目标分量的分离 …