加性高斯噪声 meaning in English
additive gaussian noise
Examples
- Two - dimensional harmonics frequency estimation in additive gaussian noise background based on quaternion and hypercomplex
四元数和超复数在加性高斯噪声背景下二维谐波频率估计中的应用 - After converting multiple speckle noise to additional gaussian noise , we achieve the mmse estimate of sar image wavelet coefficient
将乘性噪声转化为近似加性高斯噪声，可以获得sar图像小波系数的最小方差估计。 - Unlike pilots which are used for estimation of channel and must waste some useful bandwidth , the ppss , whose power can be boosted 3db or 6db to suppress efficiently the additive noise , is useful data transmitted , thus efficiency of the ofdm has been increased
与用于做信道估计的导频符号不同， ppss传输的是有用的数据，因此提高了系统的带宽利用率， ppss的平均功率增加3db或6db可有效抑制信道的加性高斯噪声。 - First , the thesis introduces the definitions and the attributes of the higher - order statistics . it is insensitive to additive gaussian noise ( white or colored ) , which is what we base on to doa problems . then two doa estimation algorithms based on higher - order statistics are presented , one is that forming cumulant matrix pencil used in esprit to estimate doa problems , the other is spectrum estimation method for doa estimation based on the eigenstructure analysis of the fourth - order cumulant , and comparing the effects of the estimation to conventional covariance - based doa algorithms "
论文首先对高阶统计量的定义和性质作了介绍，特别指出了高阶统计量对加性高斯噪声(白色或有色)不敏感，这是我们利用它进行波达方向估计的理论依据，然后文中提出了两种基于高阶统计量的波达方向估计方法，一种是利用子空间旋转不变技术构造四阶累积量矩阵进行估计的方法，另一种是基于四阶累积量阵特征分解的空间谱估计测向方法，并将它们的估计效果与传统协方差方法的效果进行比较。