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Feature selection is a crucial step in the development of a system for identifying emotions in speech. Recently the interaction between features generated from the same audio source was rarely considered, which may produce redundant features and increase the computational costs. To solve this problem, emotional feature selection of speaker-independent speech based on correlation analysis and Fisher...
The Histogram of Oriented Gradient (HOG) feature for pedestrian detection has achieved good results, but it is time-consuming. For resolving this problem, a modified method for HOG is proposed to reduce the dimension of the features. On the base of analyzing the process of HOG, nine independent HOG channels (HOG-C) are extracted according to the gradient orientation interval. Through evaluating the...
Video image defogging algorithms cannot intelligently identify whether current scene has fog or not. In order to improve the intelligent defogging ability of unmanned surface vessel (USV), a classification method based on multi-feature extraction is proposed to distinguish whether a surface image is a fog image or not. A surface image sample library is first established and 8 features that are significantly...
Aiming at the applications of Brain Computer Interface (BCI) based on motor imagery EEG, this paper presents a feature extraction method combining Dual-Tree Complex Wavelet Transform (DTCWT) and sample entropy. Firstly, the motor imagery EEG signals are decomposed by DTCWT. Then, the rhythm waves corresponding to the event-related desynchronization (ERD)/event-related synchronization (ERS) phenomenon...
To provide the reliability of power supply and ensure the personal security, cables in urban city are usually paved underground in nowadays. However, according to the statistical report from State Grid, around 53.4% of cable breakages are caused by external damages from 2009 to 2011. Among these external cable vandalisms, construction equipments are the main damage sources, including impact hammer,...
MEMS gyroscope has many advantages, such as low cost, small size, low power consumption. However, due to low precision and random drift error, its further application and development is limited. In order to improve accuracy of the MEMS gyroscope, the gyroscope drift data were processed as follows. First, wavelet transform is used to suppress all kinds of interference noise. Second, forecast model...
For the fault diagnosis of hydraulic system of quadruped robot, an optimized support vector machine learning method based on rough set and Cuckoo Search algorithm is proposed. Firstly, the attributes of samples are reduced by the rough set to decrease the dimensions and eliminate the redundant information. Then, the parameters of support vector machine are optimized by Cuckoo Search algorithm, this...
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