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If the variance $\sigma_{x}^{2}$ of $d(n)=x(n)-x(n-1)$ is one-tenth the variance $\sigma_{x}^{2}$ of a stationary zero-mean discrete-time signal $x(n)$, then the normalized autocorrelation function $R_{x x}(k) / \sigma_{x}^{2}$ at $k=1$ is

  1. $0.95$
  2. $0.90$
  3. $0.10$
  4. $0.05$

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