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噪声方差的英文

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"噪声方差"怎么读用"噪声方差"造句

英文翻译手机手机版

  • nv noise variance

例句与用法

  • Simplified gauss - markov estimate with singular noise variance
    估计在噪声方差矩阵不可逆时的化简
  • This thesis has improved the original estimation algorithm gave by mr zhou , and exended to the estimation of the snr of awgn channel and rayleigh fading channel
    本文把这种算法应用到awgn信道和单径瑞利信道下对信噪比或信道噪声方差进行估计。
  • The dynamic model in the spherical coordinate is presented for bearing - only target positioning . however , such model has unknown covariance of process noise , which is related to the range between the target and the passive sensor
    简要概述被动定向跟踪,推导了球坐标系下的匀速运动目标的定向跟踪模型;状态建模的不完备性引起了模型噪声方差阵带有未知径距参数,因而需要解决参数在线辨识问题。
  • ( 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。
  • A novel method for multi - scale denoising based on wavelet transform is given in chapter 2 . the new method improves the threshold - processing algorithm and present the form of white noise standard deviation at each scale . simulations show that while getting rid of noise mostly , this algorithm keeps the main edges of signal well
    该算法对常规阈值方法进行了改进,给出了各尺度上噪声方差的计算公式,对多个非平稳信号消噪问题进行了对比仿真研究,仿真结果表明该算法不但能进一步提高非平稳信号的消噪精度,而且能保留信号主要细节。
  • Basic physical implication of wavelet transform and its time - frequency characteristic is studied , and the theorem of denoising with wavelet transform is analyzed ; multiresolution analysis of wavelet transform is introduced , random error is processed with mallat algorithms , and thresholds is discussed ; modified mad algorithms is introduced which is used to calculate variance based on coefficient
    研究了小波变换的基本物理含义和时频特性,分析了小波变换去噪的原理;介绍了小波变换多分辨率分析的思想,并运用mallat算法对随机误差进行数据处理,还讨论了阈值问题;介绍了由小波系数计算噪声方差的mad改进法。
  • 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。
用"噪声方差"造句  
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