An improved back projection imaging algorithm for subsurface target detection is presented in this paper. Firstly, the characteristic of the scattering data at each time-delay curve in the traditional back projection imaging procedure is analyzed. Secondly, a weight factor is designed for each focal point and an improved back projection imaging algorithm is presented. Thirdly, the simulation of...

Updating Optimal Coefficients and Selected Observations Affine Projection is an effective way to reduce the computational and power consumption of this algorithm in the application of adaptive filters. On the other hand, the calculation of this algorithm can be reduced by using subbands and applying the concept of filtering the Set-Membership in each subband. Considering these concepts, the fir...

— In this paper, we propose a distributed algorithm to solve planar minimum time multi-vehicle rendezvous problem with non-identical velocity constraints on cyclic di-graph (topology). Motivated by the cyclic alternating projection method that can compute a point's projection on the intersection of some convex sets, we transform the minimum time rendezvous problem into finding the distance betw...

Because general algorithms seldom detect copy-move forgery with angle rotation and block matching algorithms are very time-consuming, this paper proposes a detection algorithm which is able to detect copymove forgery with rotation of certain angles by using the direction invariance of the circular projection vector. At the same time, considering the influence of random noise and brightness chan...

The prime motivation of this work is to devise a projection algorithm that makes the Algebraic Reconstruction Technique (ART) and related methods more efficient for routine clinical use without compromising their accuracy. While we focus mostly on a fast implementation of ART-type methods in the context of 3D cone-beam reconstruction, most of the material presented here is also applicable to sp...

We describe an implementation and experiments with a low-distortion randomized projection algorithm [LINI94] that can reduce the number of dimensions in the data by a considerable amount. The performance of the randomized algorithm is compared with that of a popular technique---Principal Component Analysis (PCA). The experiments show that the randomized projection algorithm consistently outperf...