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The value of micro-motion measurement has become increasingly prominent in the field of target detection and identification, and micro-motion extraction for target recognition demands radar's ability to get both high range resolution and high Doppler resolution. In this paper, we study on the technology of phase derived ranging (PDR) based on wideband radar. Its sub-millimeter ranging accuracy guarantees...
Tool Condition Monitoring (TCM) is a necessary action during end-milling process as worn milling-tool might irreversibly damage the work-piece. So, there is an urgent need for a TCM system to provide an evaluation of the tool-wear progress and resulted surface roughness. Principally, in-process tool-wear and surface roughness measurements requires costly stopping of the milling machine. However, to...
The values of analog circuits' input and output signals and the component parameters are continuous, and meanwhile there are inevitable tolerance and non-linear components in analog circuits, therefore the presence of these factors increases complexity of the analog circuits fault diagnosis. RBF and BP neural network are two widely used feedforward neural networks, LabVIEW is a graphical programming...
In this paper, a novel feature called ECC is proposed via feature extraction of the Hilbert energy spectrum which describes the distribution of the instantaneous energy. The experimental results conspicuously demonstrated that ECC outperforms the traditional short-term average energy. Afterwards, further improvements of ECC were developed. TECC is gained by combining ECC with the Teager energy operator,...
A novel video steganography scheme based on motion vectors and linear block codes has been proposed in this paper. Our method embed secret messages in the motion vectors of cover media during the process of H.264 compressing. Linear block codes has been used to reducing the modification rate of the motion vectors. The proposed steganographic scheme is not only has lowly computational complexity, but...
The object-oriented classification method of remote sensing image takes the characteristics of the imaging spectrum and differences in geometric characteristics into account, which can extract more accurate image information. Regard Cangzhou City in Hebei Province as the study area, and ASTER remote sensing image as the data source, first of all, the study area has been multi-scale segmented. It can...
The Web was an information resource with dynamic state, at the same time, As the spatial data complexity and its multifamily of application field, to get implicit and useful knowledge of space, it is necessary to study the integration issues of the spatial data and choose a suitable technology for data processing and analysis. In the paper, the features of spatial datum were analyzed, they were seriate...
This paper proposes a Practical Application of 3D image reconstruction based on bitmap integration. First, the paper comparative analysis of image features about EPMA ; then access the Enhanced bitmap by information fusion and made a Digital Elevation Model (DEM) from bitmap feature Extraction and generating interactive 3D image of Sample's micro-surface. Experimental proof that the advantage of this...
RPROP is a fast BP algorithm in which the weights are adjusted local adaptively and the parameters can be chosen easily. The RPROP algorithm was introduced for feature-level fusion recognitions in this paper and the technologies of BP algorithms in feature-level recognitions were discussed here. The data of 5 vehicles were measured in darkroom with 2 different kinds of sensors, infrared radiation...
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