Update Opus to 1.0.2.

silk/float/burg_modified_FLP.c

Index: silk/float/burg_modified_FLP.c
diff --git a/silk/float/burg_modified_FLP.c b/silk/float/burg_modified_FLP.c
index 0add3a6538ecc4cc4039f61553f99a25bc99114c..31c9b2280b97f2c0884d697b97b4065cda289460 100644
--- a/silk/float/burg_modified_FLP.c
+++ b/silk/float/burg_modified_FLP.c
@@ -40,7 +40,7 @@ silk_float silk_burg_modified_FLP(          /* O    returns residual energy
     silk_float          A[],                /* O    prediction coefficients (length order)                      */
     const silk_float    x[],                /* I    input signal, length: nb_subfr*(D+L_sub)                    */
     const silk_float    minInvGain,         /* I    minimum inverse prediction gain                             */
-    const opus_int      subfr_length,       /* I    input signal subframe length (incl. D preceeding samples)   */
+    const opus_int      subfr_length,       /* I    input signal subframe length (incl. D preceding samples)    */
     const opus_int      nb_subfr,           /* I    number of subframes stacked in x                            */
     const opus_int      D                   /* I    order                                                       */
 )
@@ -162,7 +162,7 @@ silk_float silk_burg_modified_FLP(          /* O    returns residual energy
         for( k = 0; k < D; k++ ) {
             A[ k ] = (silk_float)( -Af[ k ] );
         }
-        /* Subtract energy of preceeding samples from C0 */
+        /* Subtract energy of preceding samples from C0 */
         for( s = 0; s < nb_subfr; s++ ) {
             C0 -= silk_energy_FLP( x + s * subfr_length, D );
         }