noise variance meaning in Chinese
噪声离散
Examples
- Simplified gauss - markov estimate with singular noise variance
估计在噪声方差矩阵不可逆时的化简 - Methods of psf and noise variance estimation are proposed for practical restoration and thanks to them a real defocus image is perfectly restored
在此基础上，对一个实际的模糊图像进行了恢复处理并取得了良好的效果。 - The iterative decoding of ldpc code must use the noise variance , so the variance estimation is important for the ldpc code decoding . by the computer simulation , we find that the impact of the estimation algorithm for the ldpc code performance is less than 0 . 2db
通过计算机验证得到,利用这种算法估计出的误差对码字的性能不会有大的影响,在最差的情况下对spa译码算法和改进的wbf算法的影响都不会超过0 . 2db 。 - ( 2 ) a method of regarding the target speed constraints as additional measures and addsing it to measure equation is presented , the constraints intensity is decided by noise variance . it can improve the location precision of the modified gain extended kalman filter
2给出一种把运动目标(敌舰艇)的航速约束当作增加的测量值加入到测量方程的方法，约束的强度由约束条件的噪声方差确定，可提高修正增益推广卡尔曼滤波定位算法的定位精度。 - Based on above performances the applications of multi - sensor data fusion in state estimation for maneuvering target is studied systemically . the main work includes : based on the analysis that the extreme value of acceleration presupposed causes influence in the “ current ” statistical model , a modified model is given , which utilizes the functional relationship between maneuvering status and estimation of the neighboring intersample position vector to carry out the self - adaptive of the process noise variance . then combining with the recursive characteristic of kalman filter , an improved self - adaptive filtering algorithm is presented
基于此,本文针对多传感器数据融合技术在机动目标状态估计中的应用进行了系统的研究,其主要工作如下: 1 、基于“当前”统计模型中加速度极限值的预先设定对于滤波效果影响的分析,利用目标机动状况与相邻采样时刻间位置估计量变化之间的函数关系实现噪声方差自适应,进而提出了一种修正的模型,并结合卡尔曼滤波递推算法,提出了一种改进的自适应滤波算法。