| 1. | The conclusion validated that failure of beam constraints statistically independent under small earthquakes
验证框架结构在小震下，梁约束的失效是统计独立的结论。 |
| 2. | It was validated that the statistic independence of the failure sections of the components of the rc frame buildings under the small earthquakes ; 2
验证了在小震作用下，强柱弱梁钢筋混凝土框架结构的截面失效是统计独立的结论； 2 |
| 3. | The preprocessing obviously stands out the non - gaussianity of the individual components in the signals to satisfy the ica condition , i . e . statistical independence of sources
同时指出，对信号进行自相关预处理，可以突出信号的非高斯成分，较好地满足独立分量分析的前提条件，即源信号统计独立。 |
| 4. | Bss problems are to separate or extract individual source signal from a set of mixture signals . except that the source signals are assumed to be independent , no apriori information is known about the mixture signals
Bss问题是从某类混合信号序列中分离或估计各个未知源信号的过程，其中假设源信号是相互统计独立的。 |
| 5. | The ica - based method without assumption that data follow normal distribution , can easily calculate the joint probability density function of independent components ( ics ) , because each of ics statistically independent
采用独立分量分析的方法可以避免数据服从正态分布的假定，且由于各个独立成分之间统计独立，其联合概率密度函数可以很方便的求取。 |
| 6. | Blind source separation ( bss ) problem is to separate or extract individual source signal from a set of mixed signals , assuming the source signals are independent and no a - prior information is known about the mixed signals
盲源分离问题是从某类混合信号序列中分离或提取出各个未知源信号的过程，其中假设源信号是相互统计独立的，人们对混合信号的信息完全未知。 |
| 7. | Independent component analysis has particular advantages in image processing . used for palmprint feature extraction , it can ensure the components to be irrelevant and statistical independent among each other , and can more roundly describe the essent . .
独立分量分析方法在图像处理中具有独特的优势，用于掌纹特征提取，使得变换后的各分量之间不仅互不相关，而且还尽可能的统计独立，能更全面的揭示掌纹特征间的本质结构。 |
| 8. | Blind source separation is to separate sources from mixed signals , without knowing about the characters of the sources and how they are mixed , only assuming that the sources are independent with each other . blind source separation is a part of blind signal processing
盲分离是指在不知道源信号的特征，而且也不知道信号在传输通道中的混合过程，只假设源信号是相互统计独立的情况下，从观测信号中分离出源信号的技术。 |
| 9. | In this paper , the principle of spread sequence communication and all kind of the current multi - user detection techniques and the independent component analysis ( ica ) algorithm are respectively analyzed completely in chapter ii , chapter iii and chapter iv . based on the statistical feature of multi - user signal that the signal of every user ' s and every channel is statistical independent with each other and take the same distribution , the mathematical model of the received multi - user signal is fully researched , then the blind signal detection algorithm is introduced into the multi - user signal detection , two new algorithms of multi - user detection are proposed : multi - user detection based on the delay estimation of downlink using ica in ds - cdma and based on ica post processing matched filter multi - user detection
本文比较全面的从第二章到第四章分别介绍了cdma扩频通信的原理和现有的各种多用户检测技术以及独立分量分析( ica : independentcomponentanalysis )这种盲源分离算法，并在此基础上，从多用户信号的统计独立同分布的统计特征出发，分析研究了cdma通信中多用户信号的数学模型，将盲源分离技术应用到多用户信号检测当中来，提出了两种盲多用户检测的策略：基于独立分量分析的下行链路延迟估计的多用户检测算法；基于独立分量分析后处理的匹配滤波多用户检测。 |
| 10. | Secondly , the response problem of a random structure under evolutionary random excitation is solved by the stochastic perturbation method combined with the unified approach . our derivation is based on the following three indispensable assumptions : 1 , the random perturbations must be small fluctuations ; 2 , the random parameters of the system are mutually independent ; 3 , the random parameters and the random excitation are mutually independent too
2 )将统一解法与随机摄动法相结合，推导中采用了三个不可或缺的假设： ( 1 )随机摄动是一个小量； ( 2 )系统各个随机参数是相互独立的； ( 3 )系统的随机参数与所受的随机激励是统计独立的。 |
