correlated noise meaning in Chinese
相关噪声
Examples
- Development of time delay estimation of gaussian signal in non - gaussian spatially correlated noise
一种推广的非高斯相关噪声中高斯信号的时延估计方法 - Based on the linear unbiased minimum variance estimation theory , an asynchronous fusion algorithm that fused the state vector of linear system with arbitrary correlated noises is developed
摘要基于线性无偏最小方差估计理论，提出了一种任意相关杂讯线性系统非同步状态向量融合算法。 - The research work will be in two aspects : in the background of uncorrelated noise and background of correlated noise . moreover , in this paper , we assume the delay to be static
文中将从非相关背景噪声和相关背景噪声两个大方面入手，来分析静态时延下上述三种算法的时延估计性能。 - The problem of doa ' s estimation of multiple source signals incident on a arbitrary array in the presence of both unknown spatially correlated noise and sensor errors is firstly considered . a modified ml estimation of doa ' s and sensor gain errors is presented . unlike previous work , the proposed method does not impose any structure constraints or parameterization of the signal and noise covariances . the algorithm can be carried out via the alternating projection approach . finally , the performance of the proposed method is shown with computer simulations as well as real array data
在空间相关色噪声环境及存在阵列模型误差情况下，首先给出了基于最大似然的doa及阵列幅相误差联合估计算法，该算法对信号和噪声无任何约束，且适用于任意阵列结构。算法可以利用交替投影迭代搜索实现，计算机仿真实验和外场实测数据表明，本章算法能给出比传统的最大似然方法更高的估计性能。 - Base on the simu1ation model of signal and correlated noise model , the performance of different method is compared under different signal to noise ratio ( snr ) . 6 . the performance of differcni time delay estimation method is evaluated based on the analysis of real data
通过仿真数据对同一信噪比不同延估计方法性能进行比较，对不同信噪比下每种时延估计方法的性能进行比较，尤其在噪声不同相关性下对不同时延估计方法的性能进行比较，得到各种时延估计方法在仿真条件下的性能差异。