Computer-assisted video motion analysis is a method of evaluating human kinematics that offers promise both for research and for clinical application. This study determined the upper limits of accuracy and consistency of linear and angular measures obtained using the Ariel Performance Analysis System. Reference standards included a meter stick and a universal 360 degrees goniometer. Average mea...

We study a class of random matrices that appear in several communication and signal processing applications, and whose asymptotic eigenvalue distribution is closely related to the reconstruction error of an irregularly sampled bandlimited signal. We focus on the case where the random variables characterizing these matrices are d-dimensional vectors, independent, and quasi-equally spaced, i.e., ...

In order to improve Mean Square Error of its reliance on reference images when evaluating image sharpness, the no-reference metric based on algebraic multi-grid is proposed. The proposed metric first reconstructs the original image by Algebraic Multi-grid (AMG), then compute the Mean Square Error between original image and reconstructed image, the result represents image sharpness. Experiments ...

The effects of noise in the given phase o oignal reconstruction from the Fourier transform ohase are studied. Specifically, the effects of different methods of sampling the degraded phase, of the number of non—zero points in the sequence, and of the noise levol on the sequence reconstruction are examined. A sampling method is developef to significantly reduce the error in the reconstructed sequ...

In this paper we present a design method of Sliding Mode Observer (SMO) applied to reconstruct both actuator and sensor faults for a class of output time-delay systems. To guarantee the quadratically stability of the estimation error dynamics, sufficient conditions are developed with the LyapunovKrasovskii approach arising a set of Linear Matrix Inequality (LMI) optimization. Applying the equiv...

Packet-based transmission of subband coded images over lossy networks presents a reconstruction problem at the decoder. Accurate reconstruction of the high-energy low frequency subband coefficients is imperative in providing consumer-grade image quality. This paper introduces a family of one-dimensional quadrature mirror filters (QMFs) designed to minimize the meansquared error of reconstructed...

This paper proposes an efficient method for the design of two channel quadrature mirror filter (QMF) bank. To achieve minimum value of reconstruction error near to perfect reconstruction, a linear optimization process has been proposed. Prototype low pass filter has been designed using Kaiser window function. The modified algorithm has been developed to optimize the reconstruction error using l...

In this work, we present a combined approach to tracking and reconstruction. An implicit feedback of 3d information to the tracking process is achieved by optimizing a single error function, instead of two separate steps. No assumptions about the error distribution of the tracker are needed in the reconstruction step either. This results in higher reconstruction accuracy and improved tracking r...

In this paper, an efficient error analysis of a real-time vision-based pointing system is proposed. We use two cameras to implement the pointing system according to a simplified 3D reconstruction scheme which is based on image feature extraction, homography, and 3D geometry. To that end, we study the relationship between image noises and the ultimate reconstruction errors, and develop efficient...