| 1. | The estimation theory and methods on colored noises in kinematic navigation and positioning are systematically discussed in this dissertation
本文系统地讨论了动态导航定位中的有色噪声估计理论及方法。 |
| 2. | The theory of nonlinear gradual collocation of white noise is a special example of nonlinear gradual collocation of color noise
白噪声条件下的非线性系统的逐步拟合推估是有色噪声条件下的非线性逐步拟合推估一个特例。 |
| 3. | Computing formulas are proved for gradual collocations of white noise and gradual collocations of color noise in nonlinear system
摘要推导了白噪声条件下的非线性系统的逐步拟合推估和有色噪声条件下的非线性逐步拟合推估的计算公式。 |
| 4. | Simulation results show that the algorithm is effective to reduce the impacts of impulse noise , white gaussian noise and gaussian colored noise
仿真实验结果表明：该算法对于冲击噪声有抑制作用，对高斯白噪声、高斯有色噪声也有一定的抑制效果。 |
| 5. | ( 2 ) the strong tracking extended kalman filter is extended to a class of nonlinear time - varying stochastic systems with additive combined colored noise
( 2 )将强跟踪扩展卡尔曼滤波器算法推广到一类加性复合有色噪声干扰下的非线性时变随机系统。 |
| 6. | In order to judge whether the colored noises exist or not and verify whether the model meet the need in fact or not , we discussed the statistic testing , too
针对动态gps导航定位实际分析了有色噪声的来源，并依据建模的实际需要讨论了有色噪声的存在性检验和模型的适用性检验。 |
| 7. | At first , this paper briefly introduces the background and significance of research on estimation theory of colored noises . the influence function ( if ) ot the colored noises on the kinematic positioning is derived and analysed
首先，简要地介绍了有色噪声估计理论的研究背景及意义，分析了有色噪声的影响函数、变化规律和两种传统处理方法的优缺点。 |
| 8. | ( 3 ) . a new method based on masking properties of human ear for speech enhancement is proposed . ( 4 ) . the proposed methods for speech enhancement are implemented in computer simulation . and the result is satisfactory
在上述工作的基础上，对各语音增强方法，分别在白噪声和有色噪声条件下，在- 10db 10db信噪比范围内进行了计算机模拟实验，得到了令人满意的结果。 |
| 9. | Some linear approaches reported recently without postprocessing to fir system identification are discussed . this paper improves the question of the promulgation of error due to estimating middle parameter frequently in other related methods , and presents a direct algorithm of estimating parameter without estimating middle coefficient . through proper mathematic means , for example , singular value decomposition ( svd ) or total - least squares solution ( tls ) , this algorithm smoothes the noise and improves effectively the estimation performance
和2阶统计量相比，高阶统计量不仅能够有效抑制高斯有色噪声的影响，而且能够揭示随机过程的相位特性，因此，高阶统计量是解决非高斯、非最小相位、非因果系统和有色高斯噪声环境的系统辨识和处理问题的重要分析工具。 |
| 10. | Because the adaptive algorithm of conventional adaptive noise canceller is the least mean squares ( lms ) , and the convergence rate of lms is heavily dependent on the eigenvalue distribution of the autocorrelation matrix of the input signal , thus lms converges at unacceptably low rates when the input signal is colored noise or speech
由于传统自适应噪声抵消系统( anc )自适应算法主要采用lms算法，而lms算法收敛速度依赖于输入信号自相关矩阵特征值的分散程度。因此，当输入信号是语音或有色噪声时， lms的收敛速度很慢。 |
