Molecular profiling techniques have evolved to single-cell assays, where dense molecular profiles are screened simultaneously for each cell in a population. High-throughput experiments from heterogeneous population of cells can be experimentally and computationally sorted as sequence samples pseudo-temporally ordered samples. The analysis these datasets, comprising large number samples, has the potential uncover dynamics underlying regulatory programmes.We present novel approach modelling...

In this work, a new method to design TMS coils is presented. It based on the inclusion of concept stream function quasi-static electric current into boundary element method. The proposed coil approach powerful technique produce stimulators arbitrary shape, and remarkably versatile as it permits prototyping many different performance requirements constraints. To illustrate power approach, has been used for wound rectangular flat, spherical hemispherical surfaces, subjected constraints, such...

This communication proposes an E-pulse-based scheme for radar target discrimination that provides asymptotically correct results any level of additive white noise contaminating the signal. After multiple sampling signal dispersed by target, it is analytically shown cross correlation between output signals E-pulse designed standard corresponding to two different periods, null, regardless amount noise. The obtained simulation have allowed us propose a criterion produces better than original...

New contributions to noncooperative radar-target discrimination using only the scattered response of conductive objects are presented in this paper. The technique studied is extinction-pulse (E-pulse), which makes use natural resonances as features. E-pulse expansion complex exponential functions basis proposed, obtaining new E-pulses with characteristics completely different from those literature. Specifically, a weighting factor added modulate frequency, providing better capability....

In this paper we develop a new procedure for entropic image edge detection. The presented method computes the Jensen–Shannon divergence of normalized grayscale histogram set multi-sized double sliding windows over entire image. presents good performance in images with textures, contrast variations and noise. We illustrate our detection medical images.

We present a new contribution to the single-mode extraction pulse (S-pulse) technique. The S-pulse technique uses natural frequencies of target as discrimination features in such way that field scattered by after it passes through designed for this specific has form damped sinusoid. S-pulses are usually constructed linear combination cosine or polynomial basis functions, expressing function these functions and fixing parameters with conditions on Laplace transform. synthesized using complex...

The extinction pulse method has been proven to be a suitable for radar target discrimination using the natural resonance annihilation concept. standard procedure (E-pulse) construction is based on an expansion subsectional polynomials. In this paper it proposed new formalism E-pulse beta-splines. This allows polynomial basis treated in unified theoretical framework and leads simplification of original problem due linear nature all involved parameters. formulation also used impose conditions...

This paper provides and exploits one possible formal framework in which to compare contrast the two most important families of adaptive algorithms: least-mean square (LMS) family recursive least squares (RLS) family. Existing well-known algorithms, belonging any these families, like LMS algorithm RLS algorithm, have a natural position within proposed framework. The also includes - among others LMS/overdetermined instrumental variable (ORIV) generalized (GLMS) is an (IV) enable algorithm....

Independent component analysis (ICA) has been shown in the last few years to be a very useful tool blind separation of sources and feature extraction. However, at least its simpler form, utility is reduced case that outputs are linear mixtures independent sources. This excludes signals with multiplicative noise. In this paper, ICA extended situation. order do this, special structure appears new model first studied, then, method designed such it uses find mixture noisy environment. The local...

The stability and the performance of overdetermined recursive instrumental variable (ORIV) algorithm when tracking non-stationary systems have been studied. In particular, effect on system estimation via ORIV measurement noise non-stationarity has optimum value forgetting factor, giving minimum mean square error, is then derived. No independence assumptions are used. Furthermore, a new orthogonality condition obtained that extracts all important features ORIV. Finally, simulations...

This paper considers the problem of estimating fourth-order cumulant sequence a harmonic process. Both stationarity and ergodicity conditions for this kind signal are derived through imposition restrictions to frequencies amplitudes that define signals. Statistical properties mean value variance sample estimator deduced as well. These applied cubic-phase coupling detection, stressing study nonergodic signals possible strategies them. Numerical examples illustrate these cubic phase detection...

An extension of Independent Component Analysis (ICA) to the situation when mixture signals is contaminated by multiplicative noise proposed in this paper. The ICA methods search for most independent output after a linear transformation data vector. If model followed these data, result inverse unknown mixture. On other hand, if there not and previous does obtain wanted matrix. However, applied noisy possesses specific statistical structure that can be used solve problem. This paper exploits...

We have revised the Markov lineal model used in analysis of microarray time-series data. According to this model, expression level a given gene at any specific time is linear combination measured levels other genes previous instants, plus noise. The problem uncovering such relationships can be solved using variational Bayesian methods. presented literature, however, establishes genetic relations between data, which are assumed noise, whilst they should fact real levels. If distinction not...

Independent component analysis (ICA) has shown success in the separation of sources lots applications. Almost all them assume that a set recorded signals is result linear mixture independent sources. Although ICA methods were firstly designed to apply only free-noise signals, numerous have extended it deal with additive noise, using higher order statistics. However, speckle environment noise multiplicative, so applicability seriously reduced. This paper proposes an method for taking into...

In this communication, we present a new contribution to radar-target identification via the extinction-pulse (E-pulse) method. New E-pulses are built using exponential β-splines, which include in their construction free parameters that adjusted obtain more robust systems. The adjusting process is done by searching for maximize discrimination capability of system absence noise. Simulation results justify approach and show obtained maximization improve with classical scheme.

We have revised the Markov model used in analysis of microarray time-series data to uncover gene regulatory network. Previous linear models establishes genetic relations between which are assumed noise. propose a new distinguish observed and real expression levels. The does not overestimate noise fits better nature problem. also studied how variational Bayesian algorithm can be modified solve this Finally, we performed prior include objective knowledge into methodology.