| 1. | Probability density evolution method for analysis of stochastic structural dynamic response
随机结构动力反应分析的概率密度演化方法 |
| 2. | The probability density evolution method for compound random vibration analysis of stochastic structures
随机结构复合随机振动分析的概率密度演化方法 |
| 3. | The probability density evolution method for analysis of dynamic nonlinear response of stochastic structures
随机结构非线性动力响应的概率密度演化分析 |
| 4. | A new method for probability density estimation based on the probability density evolution method is proposed in this paper
摘要利用密度演化方法，提出了随机变量概率分布估计的一个新方法。 |
| 5. | Density evolution theory is specified and is applied to the analysis on the threshold of decoding , through which guidance can be provided to optimize irregular ldpc codes
阐述了密度进化理论，并分析了译码过程中存在的阈值现象。然后介绍了密度进化理论在ldpc码优化方面的应用。 |
| 6. | After analysis the discretized density evolution theory and the differential evolution algorithm , a method is proposed to search optimal m - ldpc code for joint optimizing of the system
针对mimo空间下多级ldpc码的搜索问题,分析比较离散概率密度演化算法和高斯均值近似法的性能差异,并给出二者适用范围。 |
| 7. | We analyze the microstrain and density changing of the composite powders during pressing . the density evolution of ti / al composite billet became calm when the pressure get to 1000mp . the technique of vacuum degassing can reduce the content of atmosphere
分析了复合粉在冷压制过程中的微观变形过程,不同压力下的密度变化趋势,表明在冷压制压力达到1000mpa后复合粉预制坯密度变化趋于平稳。 |
| 8. | It aims at gaining fast convergence with the same complexity as the conventional belief propagation algorithm . density evolution theory analysis and programming simulation results show that this new algorithm has fast convergence speed and good performance . 3
在详细阐述了新算法的基本原理、译码结构及实现步骤之后，利用理论分析和计算机仿真的方法，对串行级联译码算法和传统的置信传播算法的性能做了比较，得出了一些有用的结论。 |
| 9. | This dissertation pioneers the research field where vector markov process theory and density evolution method are applied to studying mobility management strategies . pointer forward schema with a threshold ( threshold schema for short ) and self - adjust mobility management schema ( self - adjust schema for short ) are addressed , after several drawbacks of current mobility management schemas are analyzed
本文将向量马尔可夫过程( vectormarkovprocess )及密度演化( densityevolmion )方法用于移动性策略的研究领域，这在国内外是首创的。 |
