Exact confidence interval for magnitude-squared coherence estimates

The magnitude-squared coherence function is widely used in many applications. The approximate confidence interval is only reliable for large data segments. In this letter, an iterative algorithm is provided to compute the exact confidence interval from the cumulative distribution function. In order to use the confidence interval conveniently in practice, some libraries are provided, using the iterative algorithm and cubic spline interpolation.