In this paper, recurrent neural network is used for path planning in the joint space of the robot with obstacle in the workspace of the robot. To design the neural network, first a performance index has been defined as sum of square of error tracking of final executor. Then, obstacle avoidance scheme is presented based on its space coordinate and its minimum distance between the obstacle and ea...

ABSTRACT In this paper, we propose the summational projection algorithm which has the convergence properties of high speed and high accuracy under high noise and colored input signal. We particularly discuss the adaptive algorithm for the adaptive Volterra filter which can be used to identify and design nonlinear systems. The proposal algorithm realizes the these convergence properties by contr...

Vector quantization (VQ) is a well-known compression method. In the encoding phase, given a block represented as a vector, searching the closest codeword in the codebook is a time-consuming task. In this paper, two fast encoding algorithms for VQ are proposed. To reduce the search area and accelerate the search process, the first algorithm utilizes three significant features of a vector that ar...

The discrete-time optimal projection equations, which constitute necessary conditions for optimal reducedorder LQG compensation, are strengthened. For the class of minimal stabilizing compensators the strengthened discrete-time optimal projection equations are proved to be equivalent tofirst-order necessary optimality conditionsfor optimal reduced-order LQG compensation. The conventional discre...

BACKGROUND Computed Tomography (CT) is a technology that obtains the tomogram of the observed objects. In real-world applications, especially the biomedical applications, lower radiation dose have been constantly pursued. To shorten scanning time and reduce radiation dose, one can decrease X-ray exposure time at each projection view or decrease the number of projections. Until quite recently, t...

We present a model-based parallel algorithm for origin and orientation refinement for 3D reconstruction in cryoTEM. The algorithm is based upon the Projection Theorem of the Fourier Transform. Rather than projecting the current 3D model and searching for the best match between an experimental view and the calculated projections, the algorithm computes the Discrete Fourier Transform (DFT) of eac...

Compressed sensing is a novel signal sampling theory under the condition that the signal is sparse or compressible. The existing recovery algorithms based on the gradient projection can either need prior knowledge or recovery the signal poorly. In this paper, a new algorithm based on gradient projection is proposed, which is referred as Quasi Gradient Projection. The algorithm presented quasi g...

This paper describes a massively parallel implementation of the progressive radiosity algorithm. Our algorithm is based on an hemispherical projection approach, which provides an accurate form factor approximation. As the projection plane is mapped onto a processor mesh, we propose different techniques decreasing computation time by reducing as much as possible processor inactivity. This approa...

In this paper, a nonlinear active noise control (ANC) is proposed using adaptive Volterra filtering with a variable step-size Gauss-Seidel pseudo affine projection (VSSGSPAP) algorithm. In particular, it requires a lower computational burden than the VSS affine projection (VSSAP) algorithm, and provides an improved convergence as the VSSAP algorithm does. Simulation results show that the propos...

An efficient algorithm to enumerate the vertices of a two-dimensional (2D) projection of a polytope, is presented in this paper. The proposed algorithm uses the support function of the polytope to be projected and enumerated for vertices. The complexity of our algorithm is linear in the number of vertices of the projected polytope and we show empirically that the performance is significantly be...