1) signal probability
信号概率
1.
A symbol of signal probability at fanout node is created and propagated to the RFON(Reconvergent Fanout Nodes).
提出了一种新的计算ＩＣ电路节点的信号概率值方法，该方法得出的信号概率值比以往的方法得出的要更准确。
2.
Given the signal probability and transition density of input signals, AND/XOR gates were decomposed into a number of 2-input gate tree, its switching activity was calculated to estimate the power dissipation.
将多输入AND/XOR门分解成由2输入AND/XOR门构成的树,采用信号的跳变密度和信号概率来计算内部节点信号的开关活动率,从而实现电路的功耗估算。
2) probability of signal presence
信号出现的概率
3) fuzzy probability multi-signal flow graph
模糊概率多信号流图
1.
In order to solve the problem of complexity and uncertainty of propagation,fuzzy probability multi-signal flow graph was constructed by combining fuzzy theory,probability theory with multi-signal flow graph.
本文针对故障传播的复杂性和不确定性,将模糊和概率理论引入多信号流图模型,提出模糊概率多信号流图,对故障传播过程进行描述并进行相关推理,得出故障传播的后继故障模式集和等效故障模式,经案例应用验证表明,该模型与方法能较好地对故障传播过程进行准确的描述,较好地解决测试性虚拟验证中故障模拟及等效故障注入的问题。
4) confidence level
置信概率
1.
Analysis method of GUM is all-purpose and effective, when confidence level is small, analysis method of ITTC will be limited and analysis method of GUM will be recommended for use.
在小置信概率时ITTC的适用性将受限制,此时推荐使用GUM描述。
5) Confidence probability
置信概率
1.
Computer auto-arithmetic for confidence probability and interval with normal distribution;
正态分布置信概率和置信区间的计算机自动计算
2.
Investigations on principle of Monte Carlo simulation was made when considering characteri-(stics) of AWGN(additive white Gaussian noise) channel and the affects of three suitable parameters: error number,confidence probability and max relative error of simulation result.
研究了蒙特卡罗仿真原理和仿真结果置信度;结合AWGN(加性白高斯噪声)信道特点,甄选出3个合适的参量,即误码个数、置信概率和仿真结果最大相对误差;提出了AWGN信道下仿真数据量选取的一般性结论,即误码个数正比于置信区间上分位点的平方、反比于最大相对误差的平方。
3.
Both the analysis and the description are proved to be well within high confidence probability and claim many advantages as a necessity for college physics experimentation teaching.
结合普通物理实验的具体情况 ,利用相关概念 ,提出一种在高置信概率情况下使用简化的方法来分析实验的误差 ,表述测量结果 。
6) fiducial probability
置信概率
1.
A new computational formula of fiducial probability in consideration of sample size and subsample standard deviation is derived from the least squares principle.
利用最小二乘原理,推导出考虑样本容量和子样标准差的求解置信概率的函数,继而确定数据的置信区间,对数据进行筛选。
2.
With the assumption that random error obeys normal distribution,and that system error is subject to uniform distribution,the distribution of the two kinds of combination misalignment obey was calculated according to probability knowledge,and then fiducial probability of the corresponding confidence interval was determined.
首先假设随机误差服从正态分布,系统误差服从均匀分布,然后根据概率知识计算出两种复合误差所服从的分布,进而计算出对应不同置信区间的置信概率。
补充资料：《概率论、信息论及其在雷达中的应用》
阐述雷达信息和信号检测理论的经典著作，英国P.M.伍德沃德著。1953年伦敦派加蒙出版公司出版，1964年再版。全书共七章，前三章是概率论、信息论和信号分析的基础，也是阅读本书的预备 知识。第四章是噪声中信号检测的一般理论，对理想接收机和后验概率理论作了精辟的阐述。最后三章是全书的精华，系统阐述雷达信号检测理论和分辨理论。书中提出著名的伍德沃德模糊函数的定义，后成为雷达信号分析和波形设计的有效工具。书中还分析了几种典型雷达信号的模糊函数及其对系统潜在性能（精度、分辨力、模糊度）的影响，对雷达信号波形设计有很大的作用。这本书已被译成多种语言出版。1980年美国再次翻印出版。
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