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With the development of MEMS sensors, pedestrian navigation has been a popular research. The paper realizes step detection and estimation for step length by only vertical accelerometer. It determines initial heading using accelerometers and magnetometers and calculates latter heading using gyroscopes by strap-down inertial navigation algorithm. Afterwards, it achieves the positioning goal for pedestrian...
This paper proposes a novel algorithm, the Kalman filter embedded trust region (KFETR), for target tracking. Kalman filter and trust region are two successful methods for object tracking. The presented KFETR algorithm integrates the advantages of the two approaches. The new algorithm makes full use of the target's moving information and predicts the target's approximate position firstly. Because of...
In this work, according to the disadvantages of sparse coding shrinkage and contourlet transform, we investigated the use of sparse coding shrinkage in conjunction with contourlet transform for denoising image data and introduced a new image denoising algorithm. The new algorithm based on linear noise model and excellently solves the denoising of image that contains additive noise with unknown variance...
In Kernel Space, Support Vectors selection is an important issue for Support Vector Machines (SVMs). But, at present most sample selection methods have a common disadvantage that the candidate set for Support Vectors is the whole sample space, so, it may select interior samples or ldquooutliersrdquo that have little or even bad effect on the classifying quality. To tackle it, two improved methods...
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