| Index: silk/float/noise_shape_analysis_FLP.c
|
| diff --git a/silk/float/noise_shape_analysis_FLP.c b/silk/float/noise_shape_analysis_FLP.c
|
| index e7c26fc030d28170d4507d6167ac023254353f36..65f6ea587053819cdb141c04eb7dcf90e8ded754 100644
|
| --- a/silk/float/noise_shape_analysis_FLP.c
|
| +++ b/silk/float/noise_shape_analysis_FLP.c
|
| @@ -36,7 +36,7 @@ POSSIBILITY OF SUCH DAMAGE.
|
| /* non-warped frequency scale. (So that it can be implemented with a minimum-phase monic filter.) */
|
| /* Note: A monic filter is one with the first coefficient equal to 1.0. In Silk we omit the first */
|
| /* coefficient in an array of coefficients, for monic filters. */
|
| -static inline silk_float warped_gain(
|
| +static OPUS_INLINE silk_float warped_gain(
|
| const silk_float *coefs,
|
| silk_float lambda,
|
| opus_int order
|
| @@ -54,7 +54,7 @@ static inline silk_float warped_gain(
|
|
|
| /* Convert warped filter coefficients to monic pseudo-warped coefficients and limit maximum */
|
| /* amplitude of monic warped coefficients by using bandwidth expansion on the true coefficients */
|
| -static inline void warped_true2monic_coefs(
|
| +static OPUS_INLINE void warped_true2monic_coefs(
|
| silk_float *coefs_syn,
|
| silk_float *coefs_ana,
|
| silk_float lambda,
|
|
|