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A pectoral muscle usually resembles a salient dense region, which is roughly triangular shape, in mediolateral oblique (MLO) position mammography. Similarly, masses usually appear to be salient dense in mammograms. Therefore, first of all, most computer-aided detection (CAD) systems remove the pectoral muscle region in order to reduce the number of false positives. In this study, a method is proposed...
We propose a new fully automatic spike sorting algorithm that is able to match, or even improve, the performance of semiautomatic solutions with supervised intervention from expert users. We achieved this by incorporating: 1) a set of heuristic criteria inspired by the expert actions following the solution from semiautomatic algorithms, and 2) an improved feature selection method that increases the...
Novel human gesture recognition and classification technique is suggested and experimentally studied. Suggested strategy is based on exploiting the interactions of human gestures with high-frequency electromagnetic field. Extracting of classification features contained in the wireless radio signal modulated by human gestures is proposed by utilizing bispectrum-based processing of the signal envelope...
Parametrisation of the shape of deformable objects is of paramount importance in many computer vision applications. Many state-of-the-art statistical deformable models perform landmark localisation via optimising an objective function over a certain parametrisation of the object's shape. Arguably, the most popular way is by employing statistical techniques. The points of shape samples of an object...
Pulsars emit broadband electromagnetic radiation, with an individual signature (period and shape), ranging from radio to X-ray and gamma-ray frequencies. For the purpose of navigation the pulsars of interest are fast rotating neutron stars that emit short stable periodic pulses, having periods between milliseconds and seconds. By detecting a set of known pulsars, it is possible to use them as beacons...
This paper describes problems of multi-level classification of real M-PSK modulated signal frames by using methods based on constellation shapes. Modulation classifiers which automatically recognise the type of modulation in HF band have been developed. One of the oldest of modulation recogniser uses a bank of demodulators. Each of demodulaters is recognized only one type of modulation.
The main goal of the paper is to present an analysis of the possibility of using faster-than-nyquist signal processing method to improve performance of navigation system. First the faster-than-nyquist concept is introduced and its pros and cons are described. After that the correlation signal processing in radio-nav systems is explained and one typical examle is presented. Demonstrated is the TDOA...
This study discuss the design of a Fuzzy logic controller (FLC) that has carried out to control the steam temperature. The extraction temperature is considered as the most significant parameter that contributes to the amount of output yield and quality of oil. The objective of this research is to carry out the ARX model structure with the input PRBS to design and simulate the process control of steam...
An Android-based eModule app has been designed and developed for science, technology, engineering, and mathematics (STEM) education. The eModule consists of: (1) an Android demonstration of echolocation; (2) a set of notes describing the functionality of the app, the basics of echolocation, and its application to advanced signal processing systems such as RADAR, LIDAR, and SONAR; (3) quizzes to test...
The mechanical response of RF MEMS polysilicon bridge structure is studied by using COMSOL Multiphysics and FEM simulations. Geometrical structural effect on switching phenomenon is estimated. 3D simulations have been performed to get the deformed shape of the bridge, depending on the electrical actuation of the suspended bridge. Time domain analysis of the simulation revealed that dual bridge structured...
We propose Anisotropic Windowed Fourier Transform (AWFT), a framework for localized space-frequency analysis of deformable 3D shapes. With AWFT, we are able to extract meaningful intrinsic localized orientation-sensitive structures on surfaces, and use them in applications such as shape segmentation, salient point detection, feature point description, and matching. Our method outperforms previous...
This article concerns an autocorrelation algorithm for determining a pulse wave delay. The pulse wave delay is defined as difference between the characteristic points i.e. the difference between the R wave in the electrocardiogram signal (ECG) and distinctive point in the photoplethysmogram (PPG) waveform. Obtaining values of the characteristic points (time stamps) are realized by correlation function...
We present an EM algorithm for Maximum Likelihood estimation of the location, scale, and skew, and shape parameters of the z distribution, also known as the generalized logistic function (type IV). We use the Barndorff-Nielsen, Kent, and Sørensen representation of the z distribution as a Gaussian location-scale mixture to derive an EM algorithm for estimating the location, scale, skew, and shape parameters...
In this study, basic steps which is necessary to develop a mobile educator platform for children were explained using SVM (Support Vector Machine) and mobile platforms. In this system based on Support Vector Machines, it was asked for the children to draw basic geometric shapes and created a smart application that provide supportive feedback to them. It is aimed to develop basic education skill and...
This paper proposes an automatic system in order to determine geometric parameters in different cities. That system is based on image processing techniques, and in which different parameters are obtained. The parameters extracted are the perimeter length and the area delimited by that perimeter, and can be used in order to calculate the level of sustainability of metropolitan zones. These tasks have...
Diagnostic approach of reducing computational costs while performing wavelet transformation is reviewed in this paper. Analog-to-digital conversion inevitably produces errors in the process of data measurement, transformation and data processing. It is shown that appliance of fast wavelet algorithms leads to fundamental improvement of effectiveness and increases calculation speed of both according...
Objects that have been buried underground cannot be recognized due to the opaqueness of the soil. To recognize objects that have been buried, ground penetrating radar (GPR) by the assistance of computer-aided system was used. This paper proposes the latter, which is called the Recognition System of Underground Object Shape using GPR datagram. The hyperbola from cylinder and cube metal object that...
The aim of this paper is to introduce an adaptive preprocessing procedure based on human perception in order to increase the performance of some standard image processing techniques. Specifically, image frequency content has been weighted by the corresponding value of the contrast sensitivity function, in agreement with the sensitiveness of human eye to the different image frequencies and contrasts...
The quality of the segmentation process directly affects the performance of the shape recognition. In this paper, we address the problem of shape recognition using only the available shape parts instead of the whole shape. For this purpose, we propose a shape parts recognition strategy that uses a robust distance based on geodesics in the shape space. The proposed combining strategy seeks to handle...
Recently it has been shown that using appropriate sampling kernel, finite rate of innovation signals can be perfectly recon structed even tough they are non-bandlimited. In the presence of noise, reconstruction is achieved by an estimation procedure of all the parameters of the incoming signal. In this paper we consider the estimation of a finite stream of pulses using the Sum of Sincs (SoS) kernel...
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