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The aim of the present paper is to propose an improvement on the Nakagami-m complex signal model as initially given elsewhere in the literature. By introducing what here is named a phase parameter a more flexible and realistic framework is obtained. Although with an additional parameter, the formulations are found in simple, closed-form expressions. With a further physically-based consideration, with...
We have applied the digital pulse shape acquisition to readout the signals coming from the position-sensitive start detector of the MAGNEX spectrometer in order to obtain the position coordinates using digital signal processing.
Inverse scattering problem has become a wide area of scientific research in recent decades. Being originated as a pure mathematical subject, the theory of inverse problems has been associated with many branches of engineering, such as antenna array theory and stochastic signal processing. This paper provides an example of stochastically derived procedure for solution of an inverse electromagnetic...
A robust and fast method to assess the validity of a motor unit potential train (MUPT) obtained by decomposing a needle-detected EMG signal is proposed. This method determines whether a MUPT represents the firings of a single motor unit (MU) or the merged activity of more than one MU, and if is a single train it identifies whether the estimated levels of missed and false classification errors in the...
The paper proposes a novel method of extracting features from physiological signals using intrinsic mode decomposition (IMD) and morphological signal processing (MSP). The complex, nonlinear and non-stationary biomedical signals are first decomposed into intrinsic mode functions (IMF). Next each IMF is subjected to MSP for extracting features, namely, pattern spectrum entropy, that characterize the...
Detection of different kinds of shapes, i.e. lines, circles, hyperbolas etc., in varying kinds of images arises in diverse areas such as signal and image processing, computer vision or remote sensing. The generalized Hough transform is a traditional approach to detect a specific shape in an image by transforming the problem into a parameter space representation. In this paper we use the observation...
In this paper, we propose a novel representation of prior knowledge for image segmentation, using diffusion wavelets that can reflect arbitrary continuous interdependencies in shape data. The application of diffusion wavelets has, so far, largely been confined to signal processing. In our approach, and in contrast to state-of-the-art methods, we optimize the coefficients, the number and the position...
When two 1D signals are compared, they must be represented in the same reference system. In most cases, biological signals present a big interindividual variability that should be eliminated in order to compare them properly. This variability can be erased by aligning the signals. A robust variational setting is proposed for 1D signal registration and applied to the computation of shape geodesics...
In this work, an Empirical Mode Decomposition (EMD) of bivariate signals is proposed. It permits to decompose signals into elementary rotating functions, oscillating functions and tendencies. The technique is based on recursive extraction of non planar and rapidly rotating functions, and then a recursive extraction of rapidly oscillating functions as in case of univariate EMD. Our concept is based...
Array-OL is a high-level specification language dedicated to the definition of multi-dimensional intensive signal processing applications. It allows to specify both the task parallelism and the data parallelism of these applications on focusing on their complex multidimensional data access patterns. Several tools exist for implementing an array-OL specification as a data parallel program. While array-OL...
One of the most difficult aspects of spike sorting is choosing the number of neurons in extracellular recording. The paper proposes a methodology for estimating the number of neurons based on the Gaussian mixture model. The following criteria have been examined: Bayesian selection method, Akaikes information criteria, minimum description length, minimum message length, fuzzy hyper volume, evidence...
The focus of this paper is the modeling of a class of stationary non-Gaussian auto-regressive processes that often find applications in statistical signal processing. We propose a general simulation procedure for constructing a time series model with a near-Laplace marginal distributions. Our approach is based on a class of Monte Carlo rejection algorithms. A theoretical analysis of the average complexity...
This paper examines strategies to quantify differences in the morphology of time series while accounting for time skew in the observed data. We adapt four measures originally designed for signal shape comparison: Dynamic Time-Warping (DTW), Earth Mover's Distance (EMD), Frochet Distance (FD), and Hausdorff Distance (HD). These morphology difference metrics on time series are compared in discriminative...
We propose two fitting functions for shift estimation using discrete cosine transform sign phase correlation (DCT-SPC) with non-integer accuracy. The DCT-SPC can be used in order to estimate the shift values and the similarity between two signals. However, the estimated shift values are limited to integer numbers. The proposed fitting functions enable the DCT-SPC to estimate the non-integer shift...
Motion estimation consumes most of the computational time in video coding system since the matching between blocks should be carried out on numerous search points (SPs). Adaptive Search Range (ASR) schemes, as one kind of fast ME algorithms, are widely used to reduce the SPs. However, all of the so-called ASR schemes are applied on the precondition that there already has a fixed benchmark SR (bm-SR)...
The objective of this paper is to develop an NRF signature classifier scheme in order to efficiently and accurately detect and recognize NRF signatures of nuclear material inside a cargo container. In response to this problem we have developed a local-global (LG) graph as the NRF signal representation scheme for efficient matching and on which to build the NRF signature library. Here we also assume...
A built-in on-chip current sensors design based on magnetic force of is presented. The proposed sensors are aimed to be used for on-chip current testing in deep-submicron circuits with ultra low-voltage power supply. The advantage of the proposed monitors is mainly elimination of the undesired supply voltage reduction, commonly created by standard current test methods. Description of different sensor...
The finite alphabet approach is a method proposed to analyze exactly adaptive algorithms/structures. The performances are related to the choice of the transition matrix, corresponding to the Markov chain that models the inputs. When increasing the alphabet cardinality, the algebraic method uses matrices with prohibitive dimensions, so the definition of the corresponding transition matrix becomes complicated,...
Rapid prototyping allows for evaluation of design product in a short period of time. Designers or CEOs may perceive the size and appearance of the product by touching the automatically constructed physical objects produced through rapid prototyping. However, it is usually impossible to change its color, texture, and user interface. In this paper, we introduce 'Augmented Reality based Re-formable Mock-up',...
Electrical capacitance tomography is targeted on estimating the spatial permittivity distribution of an inhomogeneous medium from measurements of trans-capacitance of a multi-electrode assembly outside the boundary of the medium. Since small changes in the measured data cause large or unbounded changes in recovered parameters, the problem is an ill-posed inverse problem. In this article, special focus...
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