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Distributed learning-based localization algorithm for wireless sensor networks is studied in the paper. We partition the network into a number of partitions based on the sensor's locations and determine which class each sensor falls into. We consider a network with a number of beacon nodes that have perfect knowledge of its own coordinates and utilize their knowledge as training data to perform the...
Time-frequency analysis is combined with array processing to develop a direction of arrival (DOA) estimation method. The array data model is constructed in time-frequency domain by cross time-frequency distribution between the output of a reference sensor and those of two symmetric sub-arrays. Accordingly a subspace method is presented based on the average of two sub-arrays' time-frequency data vector...
This paper presents a new type for detection of spiral bevel gears by using machine vision technology. It is a high efficiency, high precision and non-contact detection system. The concrete method is shown as follows: Cameras were calibrated with improved Tsai two-step method. Then, the two cameras in two different orientations taken gear images. After matching the two images robustly, using correspondence...
A multiscale segmentation method is proposed for multispectral imagery of high resolution by combining an adapted watershed algorithm and a region merging algorithm. Before the preliminary segmentation by the adapted watershed algorithm, a filtering method and a method for getting rid of local minimum areas are imposed to avoid over-segmentation. The whole process can be divided into five steps as...
The novel method of improving the quality metric of protein microarray image presented in this paper reduces impulse noise by using an adaptive median filter that employs the switching scheme based on local statistics characters; and achieves the impulse detection by using the difference between the standard deviation of the pixels within the filter window and the current pixel of concern. It also...
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