diff --git a/silk/fixed/burg_modified_FIX.c b/silk/fixed/burg_modified_FIX.c
index 4878553..7d072a4 100644
--- a/silk/fixed/burg_modified_FIX.c
+++ b/silk/fixed/burg_modified_FIX.c
@@ -34,7 +34,7 @@
 #include "tuning_parameters.h"
 #include "pitch.h"
 
-#define MAX_FRAME_SIZE              384             /* subfr_length * nb_subfr = ( 0.005 * 16000 + 16 ) * 4 = 384 */
+/* This code implements the method from https://www.opus-codec.org/docs/vos_fastburg.pdf */
 
 #define QA                          25
 #define N_BITS_HEAD_ROOM            2
@@ -54,45 +54,44 @@
     int                         arch                /* I    Run-time architecture                                       */
 )
 {
-    opus_int         k, n, s, lz, rshifts, reached_max_gain;
+    opus_int         k, n, s, lz, rshifts, rshifts_extra, reached_max_gain;
     opus_int32       C0, num, nrg, rc_Q31, invGain_Q30, Atmp_QA, Atmp1, tmp1, tmp2, x1, x2;
     const opus_int16 *x_ptr;
-    opus_int32       C_first_row[ SILK_MAX_ORDER_LPC ];
-    opus_int32       C_last_row[  SILK_MAX_ORDER_LPC ];
-    opus_int32       Af_QA[       SILK_MAX_ORDER_LPC ];
-    opus_int32       CAf[ SILK_MAX_ORDER_LPC + 1 ];
-    opus_int32       CAb[ SILK_MAX_ORDER_LPC + 1 ];
-    opus_int32       xcorr[ SILK_MAX_ORDER_LPC ];
-    opus_int64       C0_64;
-
-    silk_assert( subfr_length * nb_subfr <= MAX_FRAME_SIZE );
+    opus_int32       Af_QA[ SILK_MAX_ORDER_LPC ];
+    opus_int32       g[ SILK_MAX_ORDER_LPC + 1 ];
+    opus_int32       c[ SILK_MAX_ORDER_LPC + 1 ];
 
     /* Compute autocorrelations, added over subframes */
-    C0_64 = silk_inner_prod16_aligned_64( x, x, subfr_length*nb_subfr, arch );
-    lz = silk_CLZ64(C0_64);
-    rshifts = 32 + 1 + N_BITS_HEAD_ROOM - lz;
-    if (rshifts > MAX_RSHIFTS) rshifts = MAX_RSHIFTS;
-    if (rshifts < MIN_RSHIFTS) rshifts = MIN_RSHIFTS;
-
-    if (rshifts > 0) {
-        C0 = (opus_int32)silk_RSHIFT64(C0_64, rshifts );
+    silk_sum_sqr_shift( &C0, &rshifts, x, nb_subfr * subfr_length );
+    if( rshifts > MAX_RSHIFTS ) {
+        C0 = silk_LSHIFT32( C0, rshifts - MAX_RSHIFTS );
+        silk_assert( C0 > 0 );
+        rshifts = MAX_RSHIFTS;
     } else {
-        C0 = silk_LSHIFT32((opus_int32)C0_64, -rshifts );
+        lz = silk_CLZ32( C0 ) - 1;
+        rshifts_extra = N_BITS_HEAD_ROOM - lz;
+        if( rshifts_extra > 0 ) {
+            rshifts_extra = silk_min( rshifts_extra, MAX_RSHIFTS - rshifts );
+            C0 = silk_RSHIFT32( C0, rshifts_extra );
+        } else {
+            rshifts_extra = silk_max( rshifts_extra, MIN_RSHIFTS - rshifts );
+            C0 = silk_LSHIFT32( C0, -rshifts_extra );
+        }
+        rshifts += rshifts_extra;
     }
-
-    CAb[ 0 ] = CAf[ 0 ] = C0 + silk_SMMUL( SILK_FIX_CONST( FIND_LPC_COND_FAC, 32 ), C0 ) + 1;                                /* Q(-rshifts) */
-    silk_memset( C_first_row, 0, SILK_MAX_ORDER_LPC * sizeof( opus_int32 ) );
+    silk_memset( c, 0, (D+1) * sizeof( opus_int32 ) );
     if( rshifts > 0 ) {
         for( s = 0; s < nb_subfr; s++ ) {
             x_ptr = x + s * subfr_length;
             for( n = 1; n < D + 1; n++ ) {
-                C_first_row[ n - 1 ] += (opus_int32)silk_RSHIFT64(
+                c[ n ] += (opus_int32)silk_RSHIFT64(
                     silk_inner_prod16_aligned_64( x_ptr, x_ptr + n, subfr_length - n, arch ), rshifts );
             }
         }
     } else {
         for( s = 0; s < nb_subfr; s++ ) {
             int i;
+		    opus_int32 xcorr[ SILK_MAX_ORDER_LPC ];
             opus_int32 d;
             x_ptr = x + s * subfr_length;
             celt_pitch_xcorr(x_ptr, x_ptr + 1, xcorr, subfr_length - D, D, arch );
@@ -102,23 +101,50 @@
                xcorr[ n - 1 ] += d;
             }
             for( n = 1; n < D + 1; n++ ) {
-                C_first_row[ n - 1 ] += silk_LSHIFT32( xcorr[ n - 1 ], -rshifts );
+                c[ n ] += silk_LSHIFT32( xcorr[ n - 1 ], -rshifts );
             }
         }
     }
-    silk_memcpy( C_last_row, C_first_row, SILK_MAX_ORDER_LPC * sizeof( opus_int32 ) );
+
+	/* Multiply all correlations by 2 */
+	rshifts++;
 
     /* Initialize */
-    CAb[ 0 ] = CAf[ 0 ] = C0 + silk_SMMUL( SILK_FIX_CONST( FIND_LPC_COND_FAC, 32 ), C0 ) + 1;                                /* Q(-rshifts) */
-
-    invGain_Q30 = (opus_int32)1 << 30;
+	c[ 0 ] = C0 + silk_SMMUL( SILK_FIX_CONST( FIND_LPC_COND_FAC, 32 ), C0 ) + 1;                        /* Q(-rshifts) */
+	g[ 0 ] = c[ 0 ];																					/* Q(-rshifts) */
+	tmp1 = 0;
+    if( rshifts > -N_BITS_HEAD_ROOM ) {
+		for( s = 0; s < nb_subfr; s++ ) {
+			x_ptr = x + s * subfr_length;
+			x1 = x_ptr[ 0 ];
+			x2 = x_ptr[ subfr_length - 1 ];
+			tmp1 = silk_SMLAWB( tmp1, silk_LSHIFT32( x1, 16 - rshifts ), x1 );							/* Q(-rshifts) */
+			tmp1 = silk_SMLAWB( tmp1, silk_LSHIFT32( x2, 16 - rshifts ), x2 );							/* Q(-rshifts) */
+		}
+	} else {
+		for( s = 0; s < nb_subfr; s++ ) {
+			x_ptr = x + s * subfr_length;
+			x1 = x_ptr[ 0 ];
+			x2 = x_ptr[ subfr_length - 1 ];
+			tmp1 = silk_MLA( tmp1, silk_LSHIFT32( x1, -rshifts ), x1 );									/* Q(-rshifts) */
+			tmp1 = silk_MLA( tmp1, silk_LSHIFT32( x2, -rshifts ), x2 );									/* Q(-rshifts) */
+		}
+	}
+	g[ 0 ] -= tmp1;
+	g[ 1 ] = c[ 1 ];
+	silk_assert( g[ 1 ] < g[ 0 ] && g[ 1 ] > -g[ 0 ] );
+    rc_Q31 = -silk_DIV32_varQ( g[ 1 ], g[ 0 ], 31 );
+	Af_QA[ 0 ] = silk_RSHIFT32( rc_Q31, 31 - QA );														/* QA */
+    invGain_Q30 = SILK_FIX_CONST( 1, 30 ) - silk_SMMUL( rc_Q31, rc_Q31 );
     reached_max_gain = 0;
-    for( n = 0; n < D; n++ ) {
-        /* Update first row of correlation matrix (without first element) */
-        /* Update last row of correlation matrix (without last element, stored in reversed order) */
-        /* Update C * Af */
-        /* Update C * flipud(Af) (stored in reversed order) */
-        if( rshifts > -2 ) {
+    for( n = 1; n < D; n++ ) {
+        for( k = 0; k < (n >> 1) + 1; k++ ) {
+            tmp1 = g[ k ];
+            tmp2 = g[ n - k ];
+            g[ k ]     = silk_ADD_LSHIFT32( tmp1, silk_SMMUL( tmp2, rc_Q31 ), 1 );						/* Q(-rshifts) */
+            g[ n - k ] = silk_ADD_LSHIFT32( tmp2, silk_SMMUL( tmp1, rc_Q31 ), 1 );						/* Q(-rshifts) */
+        }
+        if( rshifts > -N_BITS_HEAD_ROOM ) {
             for( s = 0; s < nb_subfr; s++ ) {
                 x_ptr = x + s * subfr_length;
                 x1  = -silk_LSHIFT32( (opus_int32)x_ptr[ n ],                    16 - rshifts );        /* Q(16-rshifts) */
@@ -126,29 +152,29 @@
                 tmp1 = silk_LSHIFT32( (opus_int32)x_ptr[ n ],                    QA - 16 );             /* Q(QA-16) */
                 tmp2 = silk_LSHIFT32( (opus_int32)x_ptr[ subfr_length - n - 1 ], QA - 16 );             /* Q(QA-16) */
                 for( k = 0; k < n; k++ ) {
-                    C_first_row[ k ] = silk_SMLAWB( C_first_row[ k ], x1, x_ptr[ n - k - 1 ]            ); /* Q( -rshifts ) */
-                    C_last_row[ k ]  = silk_SMLAWB( C_last_row[ k ],  x2, x_ptr[ subfr_length - n + k ] ); /* Q( -rshifts ) */
+                    c[ k + 1 ] = silk_SMLAWB( silk_SMLAWB( c[ k + 1 ], x1, x_ptr[ n - k - 1 ] ),		/* Q( -rshifts ) */
+														               x2, x_ptr[ subfr_length - n + k ] );
                     Atmp_QA = Af_QA[ k ];
                     tmp1 = silk_SMLAWB( tmp1, Atmp_QA, x_ptr[ n - k - 1 ]            );                 /* Q(QA-16) */
                     tmp2 = silk_SMLAWB( tmp2, Atmp_QA, x_ptr[ subfr_length - n + k ] );                 /* Q(QA-16) */
                 }
-                tmp1 = silk_LSHIFT32( -tmp1, 32 - QA - rshifts );                                       /* Q(16-rshifts) */
+				tmp1 = silk_LSHIFT32( -tmp1, 32 - QA - rshifts );                                       /* Q(16-rshifts) */
                 tmp2 = silk_LSHIFT32( -tmp2, 32 - QA - rshifts );                                       /* Q(16-rshifts) */
                 for( k = 0; k <= n; k++ ) {
-                    CAf[ k ] = silk_SMLAWB( CAf[ k ], tmp1, x_ptr[ n - k ]                    );        /* Q( -rshift ) */
-                    CAb[ k ] = silk_SMLAWB( CAb[ k ], tmp2, x_ptr[ subfr_length - n + k - 1 ] );        /* Q( -rshift ) */
+                    g[ k ] = silk_SMLAWB( silk_SMLAWB( g[ k ], tmp1, x_ptr[ n - k ] ),					/* Q( -rshift ) */
+                                                               tmp2, x_ptr[ subfr_length - n + k - 1 ] );
                 }
             }
         } else {
             for( s = 0; s < nb_subfr; s++ ) {
                 x_ptr = x + s * subfr_length;
-                x1  = -silk_LSHIFT32( (opus_int32)x_ptr[ n ],                    -rshifts );            /* Q( -rshifts ) */
+				x1  = -silk_LSHIFT32( (opus_int32)x_ptr[ n ],                    -rshifts );            /* Q( -rshifts ) */
                 x2  = -silk_LSHIFT32( (opus_int32)x_ptr[ subfr_length - n - 1 ], -rshifts );            /* Q( -rshifts ) */
                 tmp1 = silk_LSHIFT32( (opus_int32)x_ptr[ n ],                    17 );                  /* Q17 */
                 tmp2 = silk_LSHIFT32( (opus_int32)x_ptr[ subfr_length - n - 1 ], 17 );                  /* Q17 */
                 for( k = 0; k < n; k++ ) {
-                    C_first_row[ k ] = silk_MLA( C_first_row[ k ], x1, x_ptr[ n - k - 1 ]            ); /* Q( -rshifts ) */
-                    C_last_row[ k ]  = silk_MLA( C_last_row[ k ],  x2, x_ptr[ subfr_length - n + k ] ); /* Q( -rshifts ) */
+                    c[ k + 1 ] = silk_MLA( silk_MLA( c[ k + 1 ], x1, x_ptr[ n - k - 1 ] ),				/* Q( -rshifts ) */
+																 x2, x_ptr[ subfr_length - n + k ] );
                     Atmp1 = silk_RSHIFT_ROUND( Af_QA[ k ], QA - 17 );                                   /* Q17 */
                     tmp1 = silk_MLA( tmp1, x_ptr[ n - k - 1 ],            Atmp1 );                      /* Q17 */
                     tmp2 = silk_MLA( tmp2, x_ptr[ subfr_length - n + k ], Atmp1 );                      /* Q17 */
@@ -156,53 +182,47 @@
                 tmp1 = -tmp1;                                                                           /* Q17 */
                 tmp2 = -tmp2;                                                                           /* Q17 */
                 for( k = 0; k <= n; k++ ) {
-                    CAf[ k ] = silk_SMLAWW( CAf[ k ], tmp1,
-                        silk_LSHIFT32( (opus_int32)x_ptr[ n - k ], -rshifts - 1 ) );                    /* Q( -rshift ) */
-                    CAb[ k ] = silk_SMLAWW( CAb[ k ], tmp2,
-                        silk_LSHIFT32( (opus_int32)x_ptr[ subfr_length - n + k - 1 ], -rshifts - 1 ) ); /* Q( -rshift ) */
+                    g[ k ] = silk_SMLAWW( silk_SMLAWW( g[ k ],											/* Q( -rshift ) */
+								tmp1, silk_LSHIFT32( (opus_int32)x_ptr[ n - k ], -rshifts - 1 ) ),
+								tmp2, silk_LSHIFT32( (opus_int32)x_ptr[ subfr_length - n + k - 1 ], -rshifts - 1 ) );
                 }
             }
         }
 
         /* Calculate nominator and denominator for the next order reflection (parcor) coefficient */
-        tmp1 = C_first_row[ n ];                                                                        /* Q( -rshifts ) */
-        tmp2 = C_last_row[ n ];                                                                         /* Q( -rshifts ) */
+        tmp1 = c[ n + 1 ];																				/* Q( -rshifts ) */
         num  = 0;                                                                                       /* Q( -rshifts ) */
-        nrg  = silk_ADD32( CAb[ 0 ], CAf[ 0 ] );                                                        /* Q( 1-rshifts ) */
+        nrg  = g[ 0 ];																					/* Q( -rshifts ) */
         for( k = 0; k < n; k++ ) {
             Atmp_QA = Af_QA[ k ];
             lz = silk_CLZ32( silk_abs( Atmp_QA ) ) - 1;
             lz = silk_min( 32 - QA, lz );
             Atmp1 = silk_LSHIFT32( Atmp_QA, lz );                                                       /* Q( QA + lz ) */
-
-            tmp1 = silk_ADD_LSHIFT32( tmp1, silk_SMMUL( C_last_row[  n - k - 1 ], Atmp1 ), 32 - QA - lz );  /* Q( -rshifts ) */
-            tmp2 = silk_ADD_LSHIFT32( tmp2, silk_SMMUL( C_first_row[ n - k - 1 ], Atmp1 ), 32 - QA - lz );  /* Q( -rshifts ) */
-            num  = silk_ADD_LSHIFT32( num,  silk_SMMUL( CAb[ n - k ],             Atmp1 ), 32 - QA - lz );  /* Q( -rshifts ) */
-            nrg  = silk_ADD_LSHIFT32( nrg,  silk_SMMUL( silk_ADD32( CAb[ k + 1 ], CAf[ k + 1 ] ),
-                                                                                Atmp1 ), 32 - QA - lz );    /* Q( 1-rshifts ) */
+            tmp1 = silk_ADD_LSHIFT32( tmp1, silk_SMMUL( c[ n - k ], Atmp1 ), 32 - QA - lz );			/* Q( -rshifts ) */
+            num  = silk_ADD_LSHIFT32( num,  silk_SMMUL( g[ n - k ], Atmp1 ), 32 - QA - lz );			/* Q( -rshifts ) */
+            nrg  = silk_ADD_LSHIFT32( nrg,  silk_SMMUL( g[ k + 1 ], Atmp1 ), 32 - QA - lz );			/* Q( -rshifts ) */
         }
-        CAf[ n + 1 ] = tmp1;                                                                            /* Q( -rshifts ) */
-        CAb[ n + 1 ] = tmp2;                                                                            /* Q( -rshifts ) */
-        num = silk_ADD32( num, tmp2 );                                                                  /* Q( -rshifts ) */
-        num = silk_LSHIFT32( -num, 1 );                                                                 /* Q( 1-rshifts ) */
+        g[ n + 1 ] = tmp1;																				/* Q( -rshifts ) */
+        num = silk_ADD32( num, tmp1 );                                                                  /* Q( -rshifts ) */
+        silk_assert( nrg > 0 );
 
         /* Calculate the next order reflection (parcor) coefficient */
         if( silk_abs( num ) < nrg ) {
-            rc_Q31 = silk_DIV32_varQ( num, nrg, 31 );
+            rc_Q31 = -silk_DIV32_varQ( num, nrg, 31 );
         } else {
-            rc_Q31 = ( num > 0 ) ? silk_int32_MAX : silk_int32_MIN;
+            rc_Q31 = ( num > 0 ) ? silk_int32_MIN : silk_int32_MAX;
         }
 
         /* Update inverse prediction gain */
-        tmp1 = ( (opus_int32)1 << 30 ) - silk_SMMUL( rc_Q31, rc_Q31 );
+		tmp1 = SILK_FIX_CONST( 1, 30 ) - silk_SMMUL( rc_Q31, rc_Q31 );
         tmp1 = silk_LSHIFT( silk_SMMUL( invGain_Q30, tmp1 ), 2 );
         if( tmp1 <= minInvGain_Q30 ) {
             /* Max prediction gain exceeded; set reflection coefficient such that max prediction gain is exactly hit */
-            tmp2 = ( (opus_int32)1 << 30 ) - silk_DIV32_varQ( minInvGain_Q30, invGain_Q30, 30 );            /* Q30 */
-            rc_Q31 = silk_SQRT_APPROX( tmp2 );                                                  /* Q15 */
+            tmp2 = SILK_FIX_CONST( 1, 30 ) - silk_DIV32_varQ( minInvGain_Q30, invGain_Q30, 30 );        /* Q30 */
+            rc_Q31 = silk_SQRT_APPROX( tmp2 );															/* Q15 */
             /* Newton-Raphson iteration */
-            rc_Q31 = silk_RSHIFT32( rc_Q31 + silk_DIV32( tmp2, rc_Q31 ), 1 );                   /* Q15 */
-            rc_Q31 = silk_LSHIFT32( rc_Q31, 16 );                                               /* Q31 */
+            rc_Q31 = silk_RSHIFT32( rc_Q31 + silk_DIV32( tmp2, rc_Q31 ), 1 );							/* Q15 */
+            rc_Q31 = silk_LSHIFT32( rc_Q31, 16 );														/* Q31 */
             if( num < 0 ) {
                 /* Ensure adjusted reflection coefficients has the original sign */
                 rc_Q31 = -rc_Q31;
@@ -215,12 +235,12 @@
 
         /* Update the AR coefficients */
         for( k = 0; k < (n + 1) >> 1; k++ ) {
-            tmp1 = Af_QA[ k ];                                                                  /* QA */
-            tmp2 = Af_QA[ n - k - 1 ];                                                          /* QA */
-            Af_QA[ k ]         = silk_ADD_LSHIFT32( tmp1, silk_SMMUL( tmp2, rc_Q31 ), 1 );      /* QA */
-            Af_QA[ n - k - 1 ] = silk_ADD_LSHIFT32( tmp2, silk_SMMUL( tmp1, rc_Q31 ), 1 );      /* QA */
+            tmp1 = Af_QA[ k ];																			/* QA */
+            tmp2 = Af_QA[ n - k - 1 ];																	/* QA */
+            Af_QA[ k ]         = silk_ADD_LSHIFT32( tmp1, silk_SMMUL( tmp2, rc_Q31 ), 1 );				/* QA */
+            Af_QA[ n - k - 1 ] = silk_ADD_LSHIFT32( tmp2, silk_SMMUL( tmp1, rc_Q31 ), 1 );				/* QA */
         }
-        Af_QA[ n ] = silk_RSHIFT32( rc_Q31, 31 - QA );                                          /* QA */
+        Af_QA[ n ] = silk_RSHIFT32( rc_Q31, 31 - QA );													/* QA */
 
         if( reached_max_gain ) {
             /* Reached max prediction gain; set remaining coefficients to zero and exit loop */
@@ -229,47 +249,27 @@
             }
             break;
         }
-
-        /* Update C * Af and C * Ab */
-        for( k = 0; k <= n + 1; k++ ) {
-            tmp1 = CAf[ k ];                                                                    /* Q( -rshifts ) */
-            tmp2 = CAb[ n - k + 1 ];                                                            /* Q( -rshifts ) */
-            CAf[ k ]         = silk_ADD_LSHIFT32( tmp1, silk_SMMUL( tmp2, rc_Q31 ), 1 );        /* Q( -rshifts ) */
-            CAb[ n - k + 1 ] = silk_ADD_LSHIFT32( tmp2, silk_SMMUL( tmp1, rc_Q31 ), 1 );        /* Q( -rshifts ) */
-        }
     }
 
-    if( reached_max_gain ) {
-        for( k = 0; k < D; k++ ) {
-            /* Scale coefficients */
-            A_Q16[ k ] = -silk_RSHIFT_ROUND( Af_QA[ k ], QA - 16 );
+	for( k = 0; k < D; k++ ) {
+		/* Scale coefficients */
+		A_Q16[ k ] = -silk_RSHIFT_ROUND( Af_QA[ k ], QA - 16 );
+	}
+
+    /* Subtract energy of preceding samples from C0 */
+    rshifts--;  /* divide c0 by two */
+    if( rshifts > 0 ) {
+        for( s = 0; s < nb_subfr; s++ ) {
+            x_ptr = x + s * subfr_length;
+            C0 -= (opus_int32)silk_RSHIFT64( silk_inner_prod16_aligned_64( x_ptr, x_ptr, D, arch ), rshifts );
         }
-        /* Subtract energy of preceding samples from C0 */
-        if( rshifts > 0 ) {
-            for( s = 0; s < nb_subfr; s++ ) {
-                x_ptr = x + s * subfr_length;
-                C0 -= (opus_int32)silk_RSHIFT64( silk_inner_prod16_aligned_64( x_ptr, x_ptr, D, arch ), rshifts );
-            }
-        } else {
-            for( s = 0; s < nb_subfr; s++ ) {
-                x_ptr = x + s * subfr_length;
-                C0 -= silk_LSHIFT32( silk_inner_prod_aligned( x_ptr, x_ptr, D, arch), -rshifts);
-            }
-        }
-        /* Approximate residual energy */
-        *res_nrg = silk_LSHIFT( silk_SMMUL( invGain_Q30, C0 ), 2 );
-        *res_nrg_Q = -rshifts;
     } else {
-        /* Return residual energy */
-        nrg  = CAf[ 0 ];                                                                            /* Q( -rshifts ) */
-        tmp1 = (opus_int32)1 << 16;                                                                             /* Q16 */
-        for( k = 0; k < D; k++ ) {
-            Atmp1 = silk_RSHIFT_ROUND( Af_QA[ k ], QA - 16 );                                       /* Q16 */
-            nrg  = silk_SMLAWW( nrg, CAf[ k + 1 ], Atmp1 );                                         /* Q( -rshifts ) */
-            tmp1 = silk_SMLAWW( tmp1, Atmp1, Atmp1 );                                               /* Q16 */
-            A_Q16[ k ] = -Atmp1;
+        for( s = 0; s < nb_subfr; s++ ) {
+            x_ptr = x + s * subfr_length;
+            C0 -= silk_LSHIFT32( silk_inner_prod_aligned( x_ptr, x_ptr, D, arch), -rshifts);
         }
-        *res_nrg = silk_SMLAWW( nrg, silk_SMMUL( SILK_FIX_CONST( FIND_LPC_COND_FAC, 32 ), C0 ), -tmp1 );/* Q( -rshifts ) */
-        *res_nrg_Q = -rshifts;
     }
+    /* Approximate residual energy */
+    *res_nrg = silk_LSHIFT( silk_SMMUL( invGain_Q30, C0 ), 2 );
+    *res_nrg_Q = -rshifts;
 }
diff --git a/silk/float/burg_modified_FLP.c b/silk/float/burg_modified_FLP.c
index ea5dc25..7ef4cac 100644
--- a/silk/float/burg_modified_FLP.c
+++ b/silk/float/burg_modified_FLP.c
@@ -33,11 +33,11 @@
 #include "tuning_parameters.h"
 #include "define.h"
 
-#define MAX_FRAME_SIZE              384 /* subfr_length * nb_subfr = ( 0.005 * 16000 + 16 ) * 4 = 384*/
+/* This code implements the method from https://www.opus-codec.org/docs/vos_fastburg.pdf */
 
 /* Compute reflection coefficients from input signal */
-silk_float silk_burg_modified_FLP(          /* O    returns residual energy                                     */
-    silk_float          A[],                /* O    prediction coefficients (length order)                      */
+silk_float silk_burg_modified_FLP(
+    silk_float          af[],               /* 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 preceding samples)    */
@@ -46,75 +46,81 @@
 )
 {
     opus_int         k, n, s, reached_max_gain;
-    double           C0, invGain, num, nrg_f, nrg_b, rc, Atmp, tmp1, tmp2;
+    double           invGain, num, nrg, rc, tmp1, tmp2, x1, x2, atmp;
     const silk_float *x_ptr;
-    double           C_first_row[ SILK_MAX_ORDER_LPC ], C_last_row[ SILK_MAX_ORDER_LPC ];
-    double           CAf[ SILK_MAX_ORDER_LPC + 1 ], CAb[ SILK_MAX_ORDER_LPC + 1 ];
-    double           Af[ SILK_MAX_ORDER_LPC ];
-
-    silk_assert( subfr_length * nb_subfr <= MAX_FRAME_SIZE );
+	double           c[ SILK_MAX_ORDER_LPC + 1 ];
+	double           g[ SILK_MAX_ORDER_LPC + 1 ];
+    double           a[ SILK_MAX_ORDER_LPC ];
 
     /* Compute autocorrelations, added over subframes */
-    C0 = silk_energy_FLP( x, nb_subfr * subfr_length );
-    silk_memset( C_first_row, 0, SILK_MAX_ORDER_LPC * sizeof( double ) );
+    silk_memset( c, 0, (D + 1) * sizeof( double ) );
     for( s = 0; s < nb_subfr; s++ ) {
         x_ptr = x + s * subfr_length;
-        for( n = 1; n < D + 1; n++ ) {
-            C_first_row[ n - 1 ] += silk_inner_product_FLP( x_ptr, x_ptr + n, subfr_length - n );
+        for( n = 0; n < D + 1; n++ ) {
+            c[ n ] += silk_inner_product_FLP( x_ptr, x_ptr + n, subfr_length - n );
         }
     }
-    silk_memcpy( C_last_row, C_first_row, SILK_MAX_ORDER_LPC * sizeof( double ) );
+    for( n = 0; n < D + 1; n++ ) {
+		c[ n ] *= 2.0;
+	}
 
     /* Initialize */
-    CAb[ 0 ] = CAf[ 0 ] = C0 + FIND_LPC_COND_FAC * C0 + 1e-9f;
-    invGain = 1.0f;
+	c[ 0 ] += FIND_LPC_COND_FAC * c[ 0 ] + 1e-9f ;
+    g[ 0 ] = c[ 0 ];
+	tmp1 = 0.0f;
+    for( s = 0; s < nb_subfr; s++ ) {
+        x_ptr = x + s * subfr_length;
+		x1 = x_ptr[ 0 ];
+		x2 = x_ptr[ subfr_length - 1 ];
+		tmp1 += x1 * x1 + x2 * x2;
+	}
+	g[ 0 ] -= tmp1;
+	g[ 1 ] = c[ 1 ];
+	rc = - g[ 1 ] / g[ 0 ];
+    silk_assert( rc > -1.0 && rc < 1.0 );
+	a[ 0 ] = rc;
+    invGain = ( 1.0 - rc * rc );
     reached_max_gain = 0;
-    for( n = 0; n < D; n++ ) {
-        /* Update first row of correlation matrix (without first element) */
-        /* Update last row of correlation matrix (without last element, stored in reversed order) */
-        /* Update C * Af */
-        /* Update C * flipud(Af) (stored in reversed order) */
+    for( n = 1; n < D; n++ ) {
+        for( k = 0; k < (n >> 1) + 1; k++ ) {
+            tmp1 = g[ k ];
+            tmp2 = g[ n - k ];
+            g[ k ]     = tmp1 + rc * tmp2;
+            g[ n - k ] = tmp2 + rc * tmp1;
+        }
         for( s = 0; s < nb_subfr; s++ ) {
             x_ptr = x + s * subfr_length;
-            tmp1 = x_ptr[ n ];
-            tmp2 = x_ptr[ subfr_length - n - 1 ];
+			x1 = x_ptr[ n ];
+			x2 = x_ptr[ subfr_length - n - 1 ];
+            tmp1 = x1;
+            tmp2 = x2;
             for( k = 0; k < n; k++ ) {
-                C_first_row[ k ] -= x_ptr[ n ] * x_ptr[ n - k - 1 ];
-                C_last_row[ k ]  -= x_ptr[ subfr_length - n - 1 ] * x_ptr[ subfr_length - n + k ];
-                Atmp = Af[ k ];
-                tmp1 += x_ptr[ n - k - 1 ] * Atmp;
-                tmp2 += x_ptr[ subfr_length - n + k ] * Atmp;
+				atmp = a[ k ];
+				c[ k + 1 ] -= x1 * x_ptr[ n - k - 1 ] + x2 * x_ptr[ subfr_length - n + k ];
+                tmp1 += x_ptr[ n - k - 1 ] * atmp;
+                tmp2 += x_ptr[ subfr_length - n + k ] * atmp;
             }
             for( k = 0; k <= n; k++ ) {
-                CAf[ k ] -= tmp1 * x_ptr[ n - k ];
-                CAb[ k ] -= tmp2 * x_ptr[ subfr_length - n + k - 1 ];
+                g[ k ] -= tmp1 * x_ptr[ n - k ] + tmp2 * x_ptr[ subfr_length - n + k - 1 ];
             }
         }
-        tmp1 = C_first_row[ n ];
-        tmp2 = C_last_row[ n ];
-        for( k = 0; k < n; k++ ) {
-            Atmp = Af[ k ];
-            tmp1 += C_last_row[  n - k - 1 ] * Atmp;
-            tmp2 += C_first_row[ n - k - 1 ] * Atmp;
-        }
-        CAf[ n + 1 ] = tmp1;
-        CAb[ n + 1 ] = tmp2;
 
         /* Calculate nominator and denominator for the next order reflection (parcor) coefficient */
-        num = CAb[ n + 1 ];
-        nrg_b = CAb[ 0 ];
-        nrg_f = CAf[ 0 ];
+		tmp1 = c[ n + 1 ];
+        num = 0.0f;
+        nrg = g[ 0 ];
         for( k = 0; k < n; k++ ) {
-            Atmp = Af[ k ];
-            num   += CAb[ n - k ] * Atmp;
-            nrg_b += CAb[ k + 1 ] * Atmp;
-            nrg_f += CAf[ k + 1 ] * Atmp;
+			atmp = a[ k ];
+			tmp1 += c[ n - k ] * atmp;
+            num  += g[ n - k ] * atmp;
+            nrg  += g[ k + 1 ] * atmp;
         }
-        silk_assert( nrg_f > 0.0 );
-        silk_assert( nrg_b > 0.0 );
+		g[ n + 1] = tmp1;
+		num += tmp1;
+        silk_assert( nrg > 0.0 );
 
         /* Calculate the next order reflection (parcor) coefficient */
-        rc = -2.0 * num / ( nrg_f + nrg_b );
+        rc = -num / nrg;
         silk_assert( rc > -1.0 && rc < 1.0 );
 
         /* Update inverse prediction gain */
@@ -123,7 +129,7 @@
             /* Max prediction gain exceeded; set reflection coefficient such that max prediction gain is exactly hit */
             rc = sqrt( 1.0 - minInvGain / invGain );
             if( num > 0 ) {
-                /* Ensure adjusted reflection coefficients has the original sign */
+                /* Ensure adjusted reflection coefficient has the original sign */
                 rc = -rc;
             }
             invGain = minInvGain;
@@ -134,53 +140,35 @@
 
         /* Update the AR coefficients */
         for( k = 0; k < (n + 1) >> 1; k++ ) {
-            tmp1 = Af[ k ];
-            tmp2 = Af[ n - k - 1 ];
-            Af[ k ]         = tmp1 + rc * tmp2;
-            Af[ n - k - 1 ] = tmp2 + rc * tmp1;
+            tmp1 = a[ k ];
+            tmp2 = a[ n - k - 1 ];
+            a[ k ]         = tmp1 + rc * tmp2;
+            a[ n - k - 1 ] = tmp2 + rc * tmp1;
         }
-        Af[ n ] = rc;
+        a[ n ] = rc;
 
         if( reached_max_gain ) {
             /* Reached max prediction gain; set remaining coefficients to zero and exit loop */
             for( k = n + 1; k < D; k++ ) {
-                Af[ k ] = 0.0;
+                a[ k ] = 0.0;
             }
             break;
         }
-
-        /* Update C * Af and C * Ab */
-        for( k = 0; k <= n + 1; k++ ) {
-            tmp1 = CAf[ k ];
-            CAf[ k ]          += rc * CAb[ n - k + 1 ];
-            CAb[ n - k + 1  ] += rc * tmp1;
-        }
     }
 
-    if( reached_max_gain ) {
-        /* Convert to silk_float */
-        for( k = 0; k < D; k++ ) {
-            A[ k ] = (silk_float)( -Af[ k ] );
-        }
-        /* Subtract energy of preceding samples from C0 */
-        for( s = 0; s < nb_subfr; s++ ) {
-            C0 -= silk_energy_FLP( x + s * subfr_length, D );
-        }
-        /* Approximate residual energy */
-        nrg_f = C0 * invGain;
-    } else {
-        /* Compute residual energy and store coefficients as silk_float */
-        nrg_f = CAf[ 0 ];
-        tmp1 = 1.0;
-        for( k = 0; k < D; k++ ) {
-            Atmp = Af[ k ];
-            nrg_f += CAf[ k + 1 ] * Atmp;
-            tmp1  += Atmp * Atmp;
-            A[ k ] = (silk_float)(-Atmp);
-        }
-        nrg_f -= FIND_LPC_COND_FAC * C0 * tmp1;
-    }
+	/* Convert to silk_float */
+	for( k = 0; k < D; k++ ) {
+		af[ k ] = (silk_float)( -a[ k ] );
+	}
 
-    /* Return residual energy */
-    return (silk_float)nrg_f;
+    nrg = c[ 0 ] * 0.5 * (1.0 - FIND_LPC_COND_FAC);
+    /* Subtract energy of preceding samples from C0 */
+    for( s = 0; s < nb_subfr; s++ ) {
+        nrg -= silk_energy_FLP( x + s * subfr_length, D );
+    }
+    /* Approximate residual energy */
+    nrg *= invGain;
+
+    /* Return approximate residual energy */
+    return (silk_float)nrg;
 }
diff --git a/src/opus_demo.c b/src/opus_demo.c
index 9e99a3b..485818c 100644
--- a/src/opus_demo.c
+++ b/src/opus_demo.c
@@ -242,7 +242,7 @@
     int stop=0;
     short *in, *out;
     int application=OPUS_APPLICATION_AUDIO;
-    double bits=0.0, bits_max=0.0, bits_act=0.0, bits2=0.0, nrg;
+    double bits=0.0, bits_max=0.0, bits_act=0.0, bits2=0.0, bits_act2=0.0, nrg;
     double tot_samples=0;
     opus_uint64 tot_in, tot_out;
     int bandwidth=OPUS_AUTO;
@@ -848,6 +848,7 @@
                 nrg /= frame_size * channels;
                 if( nrg > 1e5 ) {
                     bits_act += len[toggle]*8;
+                    bits_act2 += len[toggle]*len[toggle]*64;
                     count_act++;
                 }
             }
@@ -866,9 +867,11 @@
                      1e-3*bits_max*sampling_rate/frame_size);
     if (!decode_only)
        fprintf (stderr, "active bitrate:              %7.3f kb/s\n",
-               1e-3*bits_act*sampling_rate/(1e-15+frame_size*(double)count_act));
+               1e-3*bits_act*sampling_rate/(frame_size*(double)count_act));
     fprintf (stderr, "bitrate standard deviation:  %7.3f kb/s\n",
             1e-3*sqrt(bits2/count - bits*bits/(count*(double)count))*sampling_rate/frame_size);
+    fprintf (stderr, "active standard deviation:   %7.3f kb/s\n",
+            1e-3*sqrt(bits_act2/count_act - bits_act*bits_act/(count_act*(double)count_act))*sampling_rate/frame_size);
     /* Close any files to which intermediate results were stored */
     SILK_DEBUG_STORE_CLOSE_FILES
     silk_TimerSave("opus_timing.txt");