Through estimating the signal and noise subspaces with the eigen-decomposition of the correlation matrix, the MUSIC algorithm is used to estimate the DOAs of LFM sources.
通过对相关矩阵进行特征值分解,估计信号子空间和噪声子空间,并利用MU S IC算法估计宽带LF M信号的波达方向。
Because the difference in scale between the signal and noise, the signal is restored, then with the usage of cross wavelet transform the parameters of target are estimated.
之后进一步针对目标与信号在尺度上的差别对目标信号进行了恢复,在恢复的基础上利用互小波变换对目标的参数进行了估计。
The resulting limit, given in units of bits per second, is the absolute maximum rate of error-free communication given signal strength and noise level.
在给定信号强度和噪声水平的情况下,以比特每秒为单位给出的最终限制是无差错通信的最大绝对速率。
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