   beta = opt_beta

    # calculate the distribution&#39;s standard deviation from alpha and beta
    sig = np.sqrt((alpha ** 2) * gamma(3 / beta) / gamma(1 / beta))

    return mu, sig, alpha, beta</code></pre>
</details>
</dd>
<dt id="asrpy.asr_utils.yulewalk"><code class="name flex">
<span>def <span class="ident">yulewalk</span></span>(<span>order, F, M)</span>
</code></dt>
<dd>
<div class="desc"><p>Recursive filter design using a least-squares method.</p>
<p>[B,A] = YULEWALK(N,F,M) finds the N-th order 