A Priori Knowledge
Computationally Efficient Direction-of-Arrival Estimation Based on Partial A Priori Knowledge of Signal Sources
... a priori knowledge, such as the waveforms, of the incident signals have been developed in ...a priori knowledge of the incident signals is avail- able to the ...a priori information may ...
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A Priori Knowledge-Based Post-Doppler STAP for Traffic Monitoring with Airborne Radar
... Traffic monitoring is currently a trending topic due to the worldwide increase of road users. Safe and efficient roadway operations require detailed traffic information that relies on stationary ground infrastructure ...
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CA-CFAR Adjustment Factor Correction with a priori Knowledge of the Clutter Distribution Shape Parameter
... a priori knowledge of the shape parameter of the clutter distribution; therefore the formulae are to be used together with other previously presented mechanisms that include the estimation of the ...
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The context principle and implicit definitions : towards an account of our a priori knowledge of arithmetic
... This thesis is concerned with explaining how a subject can acquire a priori knowledge of arithmetic.^ The first chapter is intended to outline and introduce the main topics of this thesis and to exhibit ...
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Novel post-Doppler STAP with a priori knowledge information for traffic monitoring applications: basic idea and first results
... a priori knowledge information is presented by Baum- gartner and Krieger (2012a), where the positions of the ve- hicles are obtained directly in the intersection between the range-compressed moving target ...
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Iterated Modalities, Meaning and A Priori Knowledge
... a priori knowers relate to their environments: they are, for epistemologically relevant purposes, disconnected from their surroundings, and hence their internal enunciations of items of a priori ...
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PROFHMM UNC: Introducing a Priori Knowledge for Completing Missing Values of Multidimensional Time Series
... Most dynamic numerical models that have been developed over the years can reproduce the available obser- vations of the phenomena under study, with varying degrees of success. In Geophysical sciences there exists a large ...
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The regularized CQ algorithm without a priori knowledge of operator norm for solving the split feasibility problem
... MSC: 58E35; 47H09; 65J15 Keywords: split feasibility problem; regularized CQ algorithm; minimum-norm solution; strong convergence; operator norm.. Let N and R denote the sets of positive[r] ...
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An A Priori Knowledge Based Wiener Filtering Approach to Ultrasonic Scattering Amplitude Estimation
... This figure shows that even for the case of low frequency noise, the statist i cal filter is successful in estimating the scattering amplitude to zero frequency through a weighted averag[r] ...
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Optimization of array geometry for direction-of-arrival estimation using a priori information
... Abstract. This paper focuses on the estimation of the direction-of-arrival (DOA) of signals impinging on a sensor array. A novel method of array geometry optimization is pre- sented that improves the DOA estimation ...
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Passive Knowledge: How to Make Sense of Kant’s A Priori——Or How Not to Be “Too Busily Subsuming”
... “a priori” in this way, now turns out to be hardcore objectivism in the end, and this on the selfsame initial ...a priori knowledge of the sort Kant strives after: ...
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A priori ratemaking using bivariate Poisson regression models
... This paper has tested the independence assumption between claim types given a set of known risk factors and it has shown that independence should be rejected. The bivariate Poisson model is presented as an instrument ...
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Statistical concepts of a priori and a posteriori risk classification in insurance
... a priori ratemaking, the process involves establishing the premium when a policyholder is new to the company so that insufficient informa- tion may be ...a priori ratemaking process for example, the data ...
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A priori ratemaking using bivariate poisson regression models
... a priori ratemaking- involves segmenting the portfolio in homogenous classes so that all insured parties belonging to a particular class pay the same ...a priori ratemaking variables, since their values can ...
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A priori SNR estimation and noise estimation for speech enhancement
... a priori SNR, different solu- tions had been put forward ...a priori SNR estimation in the previous frame and the a posteriori SNR in the current ...
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A Priori Estimates of Solution of Parametrized Singularly Perturbed Problem
... Abstract In this paper, we consider a parameterized singularly perturbed second order quasilinear boundary value problem.. Asymptotic estimates for the solution and its first and second [r] ...
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Weighted a priori bounds for elliptic operators of Cordes type
... The paper is organized as follows. In the next section we present basic notation and a class of Morrey type spaces where the lower order terms of our operator belong. In Section we recall the definitions of our specific ...
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A Priori Modeling for Gradient Based Inverse Scattering Algorithms
... A priori parameter modeling is considered with linear, exponential and arctan- gential parameter scalings and robust preconditioners are obtained by choosing the related scaling parameters based on a Fisher ...
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A Priori Laplacian with Hamming Distance: Advanced Dimension Reduction Technique
... In this algorithm similarity measure which is Euclidean distance in case of Laplacian faces and a priori Laplacian is replaced by a new and better similarity measure known as hamming Distance. The problem with ...
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Improved BDFE Using a Priori Information for Turbo Equalization
... a priori input from channel decoder, but also hard a priori information obtained from BDFE in previous ...a priori information and hard a priori information renders better performance with ...
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