gaussian approximation
Impact of the Gaussian Approximation on the Performance of the Probabilistic Data Association MIMO Decoder
... a Gaussian approximation is applied for the interference and noise ...the Gaussian approximation in the presence of a soft-input soft-output channel ...
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Edge Detection and Object Tracing in Real Image Sequences Using Gaussian Approximation with Graph-Cut Model
... including Gaussian approximation with graph cut model to Evaluate the two or more image sequences with higher inter frame ...using Gaussian approximation with graph-cut ...using ...
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On the Use of Gaussian Approximation in Analyzing the Performance of Optical Receivers
... a Gaussian random variable. The validity of this approximation has been verified for large number of incident photons ...The Gaussian approximation has been shown to be quite accurate in ...
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Normal inverse Gaussian approximation for arrival time difference in flow induced molecular communications
... an approximation has been derived so ...inverse Gaussian (NIG) distribution as an appropriate approximation for Z, since the NIG distribution is a flexible system of dis- tributions, including ...
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On the γ-reflected processes with fBm input
... truncated Gaussian approximation for the (scaled) conditional ruin time over the long time horizon, whereas for the short and the intermediate time horizons an exponential approximation is ...
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Statistical Models of the Troposphere Refractive Index
... The same conclusion can be arrived by analyzing the applicability of each of these hypotheses using our proposed approach. Qualitative picture of the comparison is shown in Fig. 5. Quantitative estimates of the variance ...
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Algorithms for Kullback Leibler approximation of probability measures in infinite dimensions
... best Gaussian approximation to measures defined on a Hilbert space of functions, using the KL divergence as a measure of ...the Gaussian approx- imations are good in the sense that they give estimates ...
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Bayesian Leave-One-Out Cross-Validation Approximations for Gaussian Latent Variable Models
... consider Gaussian latent variable models where the integration over the latent values is approximated using the Laplace method or expectation propagation ...posterior approximation given the full ...a ...
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How to Estimate the Success Rate of Higher-Order Side-Channel Attacks
... multivariate Gaussian distribution whose parameters are derived from the leakage ...This Gaussian approximation is asymptotically sound by the central limit ...the Gaussian approxima- ...
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Heterogeneous network epidemics: real time growth, variance and extinction of infection
... line, Gaussian approximation mean as red dashed line, Gaussian approximation 95% prediction interval as red dotted ...a Gaussian approximation model as described in ...
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Topic Modeling with Wasserstein Autoencoders
... any Gaussian approximation; by preserving the Dirichlet prior, our model repre- sents a much more faithful generalization of LDA to neural network based topic ...
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Asymptotic Behaviors of the Lorenz Curve for Left Truncated and Dependent Data
... strong Gaussian approximation for Lorenz process, for the case in which data are assumed to be dependent subject to random left truncation and finally as a result of our strong Gaussian ...
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PERFORMANCE EVALUATION OF UWB-IR SYSTEMDheeraj Patil, Pallavi Pahadiya
... using Gaussian approximation to emulate the multi user ...Indeed, Gaussian approximation to evaluate multi user interference has been proven to be unrealistic ...
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Bit Error Performance for Asynchronous Ds Cdma Systems Over Multipath Rayleigh Fading Channels (RESEARCH NOTE)
... accurate approximation to the probability of bit error for asynchronous direct–sequence code division multiple–access (DS/CDMA) systems by modeling the multiple access interference (MAI) as an improved ...
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Parameter inference to motivate asymptotic model reduction: an analysis of the gibberellin biosynthesis pathway
... When fitting sloppy systems biology models to exper- imental data, calculating the profile likelihood provides helpful insight into the nature of parameter space in the neighbourhood of the best estimated parameter set. ...
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Search | Preprints
... dispersive medium) of chirped rectangular pulses, which can converge to extremely narrow pulses; analytical 663. approximation for the evolution of Super-Gaussian pulses in disp[r] ...
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An Optimization Approach for the Parameter Estimation of the Nonlinear Mixed Effects Models
... The methods F OL, Laplae, Importane Sampling approximation, and Adaptive. Gaussian Quadrature give exat results when the model funtion f is linear in b[r] ...
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Coherent terahertz radiation emitted by wide-angle electron beams from a laser-wakefield accelerator
... Assuming a longitudinally and transversally Gaussian bunch, the spectrum of CTR can be calculated analytically in the far-field approximation.7 As shown in Figure 1, efficient generation[r] ...
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A THEORETICAL STUDY OF BEC (BOSE-EINSTEIN CONDENSATE) IN ONE DIMENSIONAL OPTICAL LATTICE AND EVALUATION OF GROUND STATE PROPERTIES OF A BEC IN 1D LATTICE AND COMPARISON WITH 3D OPTICAL LATTICE AND TRAPPED BOSONS
... having Gaussian shaped ...potential, Gaussian shaped BEC, Gaussian variational approximation, Thomas-Fermi approximation, Radial and axial trapping frequency, s-wave scattering length, ...
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Spatial Analysis Made Easy with Linear Regression and Kernels
... good approximation of the kernel in the frequency domain (where the function described in terms of the periodic functions that make it up) will naturally yield a good approximation to the kernel function in ...
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