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The contouring error is a crucial index characterizing the surface quality of machines parts. And how to achieve an accuracy contouring error estimation value, has always been an important problem in industrial applications. Based on different desired contours, many existing methods have been introduced and analyzed. This paper proposes a contouring error computation method.
Automatic Music Information Retrieval has been one of the challenging topics of research for a few decades now, with several interesting approaches reported in the literature. In this paper we have developed a pitch extraction method based on a finite Fourier series approximation to the given window of samples of a music signal. We then estimate pitch as the fundamental period of the finite Fourier...
The article describes software implementation of Hurst (self-similarity) parameter estimator based on discrete wavelet transform. The main purpose is to estimate the Hurst parameter as soon as possible, by using acquired traffic samples and avoiding segmentation and waiting for data accumulation. Thus, the processing of traffic would be evenly distributed over the entire measurement time interval,...
Accurate cell segmentation is an important and long-standing challenge in biomedical image analysis due to large variations in shape and boundary ambiguity. In this paper, we present a segmentation framework for partially overlapping cervical cells. The proposed method starts by cellular clump estimation with morphological reconstruction. Subsequently, the nuclei inside the cellular clumps are located...
Mutual Information (MI) is often used for feature selection when developing classifier models. Estimating the MI for a subset of features is often intractable. We demonstrate, that under the assumptions of conditional independence, MI between a subset of features can be expressed as the Conditional Mutual Information (CMI) between pairs of features. But selecting features with the highest CMI turns...
This work presents a minority carrier lifetime estimation technique through investigation into transient anode voltage modeling of Non-punch Through (NPT) Insulated Gate Bipolar Transistor (IGBT). Parabolic approximation has been used for derivation of minority carrier concentration within the base. With the help of derived expression, an analytical model has been developed for turn-off voltage of...
The following paper presents a simple and fast liveness detection method based on gaze direction estimation under a challenge-response user authentication scenario. To estimate a line of sight, a procedure composed of several steps, including face and eye detection, derivation of gaze direction representation and subsequent classification, has been proposed. The proposed, novel gaze orientation descriptor...
An important property of surface areas of objects as observed by a calibrated monocular camera is introduced; also improved techniques to apply the property to people number estimation are proposed. Standard surface area (SSA) is defined as the surface area of the reverse projection of an image-pixel onto a plane at specific height in the real world. SSA is calculated for each pixel according to camera...
The shift of the Internet usage from a host to host interconnection to a content retrieval becomes an indisputable fact. Information Centric Networking (ICN) paradigm is proposed as a Future Internet architecture adapted to this change. By identifying the content and not the host, this new design enables many interesting features such as in-network data storage and caching. ICN network components...
The linear quadratic optimal control problem with finite final time and fixed end-point for discrete linear time invariant systems is presented. The study takes into account the influence of the time variant perturbations in optimal control law implementation. The applicability of the proposed algorithm is validated by simulation tests.
The object under study is a metric associated to each graph, called diameter constrained reliability. The exact evaluation of the diameter constrained reliability belongs to the class of NP-Hard problems, and becomes prohibitive in large graphs. In the literature, several estimation methods have been developed, inspired in statistics, combinatorics, algebra and other branches of knowledge. We are...
In this paper, we propose a variant of the iterative closet point (ICP) registration method by introducing a novel weight-bootstrap scheme. The rigid transform between two point sets can be estimated, as long as proper correspondences are given. The accuracy of the estimated transform is mainly determined by the goodness of these matches. However, the confidence of the correspondences is weakened...
In this paper, we consider the problem of carrier phase estimation for an M-ary phase shift keying modulated frequency-hopping system affected by strong phase noise. An improved joint detection and decoding algorithm is presented based on the factor graph and sum-product algorithm framework. The messages on the factor graph are approximated into the sums of multiple Tikhonov distributions. Numerical...
Questions of uniform approximation of continuous functions of bounded variation on ℝn with the values in the Banach space are being studied by aggregates of summatory type constructed on the basis of the known function values at the nodes of a multidimensional rectangular mesh. The appraisal of accuracy is executed by means of the modulus of continuity.
In this paper, we propose a joint channel impulse response (CIR), phase noise (PHN) estimation and decoding algorithm for time-selective flat Rayleigh fading channels. Building on the first-order autoregressive model approximation for both the time evolutions of CIR and PHN, a factor graph of the joint a posteriori probability function is constructed and the sum-product algorithm is applied to derive...
Acoustic source time-difference of arrivals (TDOAs) estimation is a basic task required by source localization and separation techniques. Standard wide-band methods, e.g. the GCC-PHAT, estimate the TDOAs by evaluating the cross-correlation at multiple time lags and performing a direct-search of the global maximum. A more convenient formulation is to model the time-delay in the frequency domain and...
We describe a technique for detection and tracking of multiple targets using a multistatic sonobuoy array. The innovation in the proposed algorithm is the use of a clustering step, posed as Bayesian mixture estimation, to produce Cartesian position measurements. These are passed to a sequential Monte Carlo approximation of the multiple hypothesis tracker. The improvement offered by the proposed algorithm...
For linear systems, the optimal filtering is provided by the celebrated Kalman filter. For nonlinear systems, only suboptimal filters can be obtained in general. The Extended Kalman filter (EKF) is such a suboptimal filter. It helped the promotion of the Kalman filter. With the development of more advanced nonlinear filters, however, the EKF is receiving less and less attention because it performs...
State estimation of a non-linear system perturbed by non Gaussian noise is a challenging task. Typical solutions like EKF/UKF could fail while Monte Carlo methods, even though more accurate, are computationally expensive. Recently proposed log homotopy based particle flow filter, also known as Daum-Huang filter (DHF) provides an alternative way of non-linear state estimation. There have been a number...
In this paper, we design a learning drift homotopy particle filter algorithm. We employ the drift homotopy technique in the extra Markov Chain Monte Carlo move after the resampling step of the generic particle filter algorithm to efficiently resolve the degeneracy of the algorithm. In this work, we use the effective sample size as a learning parameter to control the levels of drift homotopy which...
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