     (1, np.linalg.lstsq(Rm, Rhs.T, rcond=None)[0].T), axis=None)
    return A</code></pre>
</details>
</dd>
<dt id="asrpy.asr_utils.block_covariance"><code class="name flex">
<span>def <span class="ident">block_covariance</span></span>(<span>data, window=128)</span>
</code></dt>
<dd>
<div class="desc"><p>Compute blockwise covariance.</p>
<h2 id="parameters">Parameters</h2>
<dl>
<dt><strong><code>data</code></strong> :&ensp;<code>array, shape=(n_chans, n_samples)</code></dt>
<dd>Input data (must be 2D)</dd>