Frequency synchronization is vital issue in execution of OFDM system. In this paper we proposed a technique to estimate and compensate CFO in frequency domain. Estimation is based on Comb-type pilot sequence, which can measure phase rotation of received signal pass through fading channel. Performance of proposed scheme is evaluated on basis of MSE and BER. CFO estimation can be computed by pilo...

This Master thesis deals with an approach for 2D-3D pose estimation, which relies on texture information on the surface mesh of an object model. The textured surface mesh is projected in a virtual image, and a block matching algorithm is employed to determine correspondences between midpoints of surface patches to the image data. To facilitate this purpose, the block matching algorithm needs to...

In this paper, we proposed a randomised algorithm to estimate the motion parameters of a planar shape without knowing a priori point-to-point correspondences. By randomly searching points on two shapes measured at different times, we determine the centroids, after which the algorithm proceeds to determine the rotation by searching points on each shape that form congruent polygons. Key-Words: Mo...

This paper describes a method for incorporating the chromin-ance information when estimating motion in a colour image sequence. It is based on a Maximum-Likelihood (ML) formulation of the motion estimation problem which assumes homogeneous additive Gaussian noise in each colour component, with known inter-eld correlation statistics. It deenes a noise-decorrelating colour space transform which p...

Efficient motion estimation is very important for compressing video in standards like MPEG1/2/4 and ITU-T H.261/263. In this paper a new algorithm will be presented which can outperform most of the traditional fast motion estimation algorithms in both speed and quality. In addition, in some cases this algorithm can achieve even better visual quality, than the “optimal” but computational intensi...

A new two-stage approach for robust estimation of large image motion is proposed. We first use template matching to find large image motion up to pixel-level accuracy and then use the differential technique to refine the image motion to subpixel accuracy. Experimental results have shown that the proposed approach can estimate visual motion both robustly and accurately. Indexing terms: Motion es...