Update 2021JUL21.md

2021JUL21.md

@@ -31,7 +31,7 @@ Algorithm 1. EM for the Fusion of GMMs
     ```
     - **M-step.** Re-estimate the parameters using the current responsibilities by setting the derivatives to zero
     ```math
-    \mu_{k}^{\text{new}} = \frac{1}{N_{k}}(\Sigma^{H}_{k} + \Sigma^{L}_{k} )^{-1}\sum_{n=1}^{N}\gamma(y_{nk})(\Sigma_{k}^{H}\mathbf{Ux}^{H}_{n} + \Sigma_{k}^{L}\mathbf{x}_{n}^{L} )
+    \mu_{k}^{\text{new}} = \frac{1}{N_{k}}((\Sigma^{H}_{k})^{-1} + (\Sigma^{L}_{k})^{-1} )^{-1}\sum_{n=1}^{N}\gamma(y_{nk})((\Sigma_{k}^{H})^{-1}\mathbf{Ux}^{H}_{n} + (\Sigma_{k}^{L})^{-1}\mathbf{x}_{n}^{L} )
     ```
 
 ### Simulation results