高斯模式,Gaussian... ... ) Gaussian model 高斯模式 ) Gauss model 高斯模式 ) Gaussian dispersion model 高斯线源模式 ... www.dictall.com|基于2个网页 例句 释义: 全部,高斯模式 更多例句筛选 1. Analyzed the precision of the solution farther using the generalized gauss model. 利用广义高斯模型分析...
Specifically, our method firstly introduces the Markov-Gauss model to obtain the recursive expression of the echo phases carrying VS, and secondly derive a simple observation equation (SOE) to reflect the relationship between the observed signal and VS of radar measurement. Thirdly, the aforementioned...
介绍Lake Shore 425 型高斯计旨在满足永磁行业的苛刻需求,在经济实惠的台式仪器中提供高端功能和性能。磁铁测试和分类从未如此简单。当与内置继电器和声音报警功能结合使用时,425 型可以消除通过/未通过标准的猜测。DC 至 10 kHz AC 频率响应、最大保持和相对测量等附加功能使 425 型成为制造、质量控制和研发磁通密度...
Einstein–Gauss–Bonnet gravity is a natural generalization of Einstein gravity in (4+1) dimensions or higher in the gravity model which includes the higher order curvature corrections. This theory corresponds to first three terms of Lovelock gravity, which consists of the cosmological constant, Eins...
considered.T he auhtors prov e t hat when t he model noise varialice matrix is sing ular ,Gauss- M ark ov and opti— mal weig ht ed lea St squares est imat es can be t he sam e under some condition . K ey words:GM estiamtes ;optimal weig hted least squares es timates;linea...
A speckle-free wavelet coefficient is estimated with Bayesian inference using image and noise model parameters, which produce the highest evidence. The experimental results showed that the despeckling algorithm removes speckle noise in the homogeneous areas better than the state-of-the-art methods, ...
必应词典为您提供gauss-markov-model的释义,网络释义: 马尔可夫模型;高斯-马尔可夫模型;
General Gauss–Markov ModelsA general Gauss–Markov model is a model $${m Y}={m X}\\beta + e,\\quad {m E}(e) = 0,\\quad {{m Cov}(e)}= \\sigma^{2}{m V},$doi:10.1007/978-1-4419-9816-3_10Ronald ChristensenSpringer New York...
For this model, GM estimators for μ and B exist and are well known (see Anderson (1958) chapter 8). The main result in Section 3 establishes a converse to this classical result. Explicitly, let Y have the covariance structure as above and assume Ω is a fixed regression manifold. It ...
object-trackingdistance-transformgauss-newton-methodmodel-based UpdatedDec 16, 2017 C++ Code related to Optimization Techniques optimizationlinear-programmingjupyter-notebookquadratic-programminggauss-newton-methodbasis-pursuit UpdatedJan 24, 2023 Jupyter Notebook ...