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In the field of array signal processing, the signal model is $$ \mathbf{x}(n) = [x_0(n), x_1(n), \ldots, x_{M-1}(n)]^T $$ where $M$ denotes the number of sensor and $n$ is the discrete time. While in the field of spectral estimation, the signal model is $$ \mathbf{x}(n) = [x(n), x(n-1), \ldots, x(n-M+1)]^T $$ where $M$ is the number of samples of the ...

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