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With the increasing stress in working and studying, mental health becomes a major problem in the current social research. Generally, researchers can analyze psychological health states by using social perception behavior. The speech signal is an important research direction in this domain. It objectively assesses the mental health of social groups through the extraction and fusion of speech features...
Identifying fronts manually from satellite images is a tedious and subjective task. Accordingly, edge detection algorithms are introduced for automatic detection of fronts. However, traditional algorithms cannot be applied to cloud-contaminated images, because missing data caused by occasional cloud coverage interferes with front detection. To diminish this risk, this letter proposes a new algorithm...
A novel level set method based on on-line discriminative appearance modeling (DAMLSM) is presented for contour tracking. In contrast with traditional level set models which emphasize the intensity consistent segmentation and consider no priors, the proposed DAMLSM takes the context of tracking into account and use a discriminative patch based target model to guide the curve evolution. By modeling...
Research based on Surface Electromyography (sEMG) has important significance in enlightening the control precision of artificial limb. sEMG and elbow joint angle from 4 muscles of human's upper limb is extracted in the process of elbow bending and stretching. The quantitative relationship model of sEMG and elbow joint angle is established through Nerve Network (sEMG feature as input set and elbow...
The importance of phase in signal processing has been known for a long time. This paper presents an overview to the recent advances in phase properties of CWT coefficients. Our attention is mainly put on describing phase properties based on theoretical analyses and experimental results. The applications of the phase properties are briefly introduced. At last, we give an conclusion and an outlook.
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