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For interior permanent magnet synchronous motor (IPMSM) drives, high-frequency (HF) rotating voltage signal injection method is widely employed to estimate the initial rotor position. However, conventional demodulation method based on current phase is complex and susceptible to filters and digital control delays, an amplitude demodulation algorithm is proposed in this paper. With the proposed method,...
In this paper, a channel estimation method based on the superimposed pilots with the first-order statistics is proposed for massive MIMO systems. In the proposed method, no time slots are cost on training. Hence, transmission rate of the system is higher than the traditional method. Further, a decoder is designed based on MMSE decoder. Finally, simulations show that the performance of the system with...
In this study, we propose a globally consistent, locally sparse regularized model for fiber orientation distribution (FOD) estimation with multi-shell diffusion signal. First, a novel spherical double-lobe basis function is used to form an over-complete dictionary that guarantees the local sparsity of FOD. Furthermore, a global consistency spatial model which incorporated a spatial priori information...
Unstructured detectors such as KGLRT, ACE and AMF are widely applied for target detection in hyperspectral imagery (HSI). However, conventional global and local approaches construct background model without considering the contamination caused by anomalies and suspected targets. This paper proposes a local ACE algorithm based on the minimum covariance determinant (MCD) estimator. In the proposed algo-rithm,...
Ultrasound contrast agents (UCA) microbubbles have been well recognized as a potential noninvasive tool for blood pressure measurement. The effect of ambient pressure on UCA subharmonic optimal driving frequency (SODF), at which the subharmonic scattering signals were maximal, was investigated experimentally. For groups of microbubbles with 80.1%±1.6% in the diameter range of 1µm–2µm, the shift of...
The microbubble ultrasound contrast agent (UCA) has been widely recognized as a potential noninvasive tool for blood pressure measurement. However, UCA indices such as the shift in the resonance frequency and echo amplitude have problems of low resolution, nonlinear relationship with blood pressure, etc. In this paper, a novel UCA index, the shift in the subharmonic optimal driving frequency (SSODF)...
In this paper, the Potential Function Agglomeration Clustering (PFAC) algorithm has been proposed for estimating the mixing matrix in underdetermined Sparse Component Analysis (SCA), wherein the number of mixtures is less than the number of the sources. In contrast to many existing SCA methods, the PFAC algorithm can accurate estimate the number of sources and the mixing matrix. The algorithm also...
We consider odor-source localization using a mobile robot in a time-variant airflow-field environment. Novel plume tracing and odor-source declaration methods are presented. When odor plume clue is found, an odor-patch path is estimated by a dynamic-window approach, and the robot traces the plume along a route planned from the odor-patch path. In parallel, a particle filter is used to localize an...
This paper addresses the problem of estimating the odor path which is most likely taken by the odor patch detected by the concentration sensor on a mobile robot moving in an indoor dynamic airflow environment. The odor path estimation is useful for plume tracing and odor source declaration. A novel algorithm for odor path likelihood mapping in the dynamic airflow environment is proposed. The algorithm...
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