I have a system which has the following transfer function $$H(s)=\frac{\beta + s}{s^{2} + 2\alpha s + \beta^{2}}$$ where $\beta = \sqrt{\omega^{2} + \alpha^{2}}$ and $\alpha>0$.
This system, as already discussed in a dsp question is stable. How can I check the other two properties?
EDIT
If a random (wide-sense stationary) process $n(t)$ passes through a time-invariant filter $h(\tau)$, then the autocorrelation function is $$R_{n^\prime}(t)=\int_{-\infty}^{\infty} \int_{-\infty}^{\infty} R_{n}(t-\tau+\tau^\prime) h(\tau) h(\tau^\prime) d \tau d \tau^\prime$$ For white noise input, $R_{n}(t)=\delta(t)$ and $$ R_{n^\prime}(t)=\int_{-\infty}^{\infty} h(\tau-t) h(\tau) d \tau $$ The power spectrum of the output is the Laplace transform of $R_{n^\prime}(t)$ and it is possible to prove that $$ S_{n^\prime}(s)= H(-s) \int_{-\infty}^{\infty} h(\tau) e^{-s \tau}d \tau=H(-s) H(s) $$ In my case I have $H(s)=\frac{\beta + s}{s^{2} + 2\alpha s + \beta^{2}}$. I would like to prove that the filter is stable, causal and minimum phase.