This article is focused on a problem of the error estimation of the radar signal source localization by the TDOA (Time Difference of Arrival) method. More precisely, it is focused on the finding and solving of an analytical equation (error equation) that describes the source position error without any mathematical simplifications and approximations. The solution of this analysis is the covarian...

In this paper, we propose context-dependent pronunciation variation modeling based on the Kullback-Leibler (KL) distance for improving the performance of dysarthric automatic speech recognition (ASR). To this end, we construct a triphone confusion matrix based on KL distances between triphone models, and build a weighted finite state transducer (WFST) from the triphone confusion matrix. Then, d...

An adaptive orthogonal distributed space time coding scheme (ODSTC) is proposed in this paper in order to achieve low bit error rate. Amplify and forward technique and ODSTC is used at the relay node.cooperative a MIMO system is used to increase the reliability of wireless communication.ML detector and linear MMSE receiver is used at the destination node. In order to estimate the channel condit...

Dual photoelastic modulator polarimeter systems are widely used for the measurement of light beam polarization, most often described by Stokes vectors, that carry information about an interrogated sample. The sample polarization properties can be described more thoroughly through its Mueller matrix, which can be derived from judiciously chosen input polarization Stokes vectors and corresponding...

Abstract. In this paper, we investigate a method for restarting the Lanczos method for approximating the matrix-vector product f(A)b, where A ∈ Rn×n is a symmetric matrix. For analytic f we derive a novel restart function that identifies the error in the Lanczos approximation. The restart procedure is then generated by a restart formula using a sequence of these restart functions. We present an...

Considerable disparity exists between the current state of the art for categorical spatial data error modeling and the current state of the practice for reporting categorical data quality. On one hand, the general Monte Carlo simulation-based error propagation framework is a fixture in spatial data error handling; researchers have identified potentially powerful approaches to characterizing cat...

This paper is concerned with the reduced-order H∞ filtering problem of commensurate fractional-order systems. Our goal is to construct a reduced-order filter in such a way that the filtering error is within a prescribed H∞-norm error bound. Based on the bounded real lemma for commensurate fractional-order systems, a sufficient condition is established in terms of linear matrix inequalities (LMI...

Neutral stability limits for wake flow behind a flat plate is studied using spectral method. First, Orr-Sommerfeld equation was changed to matrix form, covering the whole domain of solution. Next, each term of matrix was expanded using Chebyshev expansion series, a series very much equivalent to the Fourier cosine series. A group of functions and conditions are applied to start and end points i...

Backpropagation (BP) Neural Network (NN) error functions enable the mapping of data vectors to user-defined classifications by driving weight matrix modifications so as to reduce classification error over the training data set. Conventional BP error functions are usually only implicitly dependant on the weight matrix, however an explicit penalty term can be added so as to force numerically insi...

The confusion matrix of the 62 characters task (Fig. 1) shows that most of the errors are due to confusions between digits and letters and between lower-and upper-case letters. Figure 1. Confusion matrix of the NIST SD 19 MCDNN trained on the 62-class task: correct labels on vertical axis; detected labels on horizontal axis. Square areas are proportional to error numbers, shown as relative perc...