1) Deflazacort
地夫可特
2) Markov chain Monte Carlo (MCMC)
马尔可夫链蒙特卡洛
1.
The method merges the Markov chain Monte Carlo (MCMC) technique and mean likelihood estimation (MELE) with discrete chirpogram as the initial value selection method.
该文将马尔可夫链蒙特卡洛(MarkovchainMonteCarlo,MCMC)方法和均值似然估计相结合,利用离散调频图(chirpogram)作为起始点的选择方法,提出了一种实现单分量chirp信号最大似然参数估计的新方法。
3) MCMC
马尔可夫链蒙特卡罗
1.
We propose a novel modulation classifier based on the Markov chain Monte Carlo(MCMC) methods for amplitude-phase modulated signals over the frequency-selective fading channel with multiple unknown parameters such as noise power,carrier frequency and phase offset.
为解决在频率选择性衰落信道中,频偏、相偏和噪声功率等多参数未知的幅相调制信号的调制分类问题,提出一种新颖的基于马尔可夫链蒙特卡罗(MCMC)方法的调制分类算法。
2.
Based on analyzing the cause of particle degeneracy,the regularized particle filtering with MCMC move step is proposed.
通过分析该现象产生的原因,提出了将MCMC(马尔可夫链蒙特卡罗)方法应用于正则粒子滤波算法(RPF),与采样重要重采样(SIR)粒子虑波算法比较,此算法不仅克服了粒子退化现象,而且解决了重采样带来的采样枯竭的影响,仿真和实验结果表明:该算法在滤波精度和自适应调整粒子个数方面比SIR粒子滤波有很大的提高。
3.
The Markov chain Monte Carlo (Markov Chain Monte Carlo, referred to as MCMC) move step was joined after the particle filter algorithm resampling steps, to increase the diversity of particles.
为了解决粒子滤波算法在重采样后,丧失粒子多样性的问题,本文在粒子滤波算法的重采样步骤后,加入了马尔可夫链蒙特卡罗(Markov Chain Monte Carlo,简称MCMC)移动步骤,增加粒子的多样性。
4) Markov chain Monte Carlo
马尔可夫链蒙特卡罗
1.
In the present paper, we discussed the application of Bayesian method in linkage analysis, including the Bayesian estimation of recombination fraction, linkage testing based on the Bayes Factor and the Bayesian approach for genetic linkage map construction via Markov chain Monte Carlo algorithm.
探讨了贝叶斯统计在遗传连锁分析中的应用,包括遗传重组率的贝叶斯估计、遗传连锁的贝叶斯因子检验和基于马尔可夫链蒙特卡罗理论的遗传连锁图谱构建。
5) Markov Chain Monte Carlo (MCMC)
马尔可夫链蒙特卡罗(MCMC)
6) pseudo non markovian feature
赝非马尔可夫特性
补充资料：地夫可特
分子式：C25H31NO6
分子量：441.52
CAS号：14484-47-0
性质：
分子量：441.52
CAS号：14484-47-0
性质：
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条