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#ifndef SILK_NSQ_H
#define SILK_NSQ_H

#include "SigProc_FIX.h"

#undef silk_short_prediction_create_arch_coef

static OPUS_INLINE opus_int32 silk_noise_shape_quantizer_short_prediction_c(const opus_int32 *buf32, const opus_int16 *coef16, opus_int order)
{
    opus_int32 out;
    silk_assert( order == 10 || order == 16 );

    /* Avoids introducing a bias because silk_SMLAWB() always rounds to -inf */
    out = silk_RSHIFT( order, 1 );
    out = silk_SMLAWB( out, buf32[  0 ], coef16[ 0 ] );
    out = silk_SMLAWB( out, buf32[ -1 ], coef16[ 1 ] );
    out = silk_SMLAWB( out, buf32[ -2 ], coef16[ 2 ] );
    out = silk_SMLAWB( out, buf32[ -3 ], coef16[ 3 ] );
    out = silk_SMLAWB( out, buf32[ -4 ], coef16[ 4 ] );
    out = silk_SMLAWB( out, buf32[ -5 ], coef16[ 5 ] );
    out = silk_SMLAWB( out, buf32[ -6 ], coef16[ 6 ] );
    out = silk_SMLAWB( out, buf32[ -7 ], coef16[ 7 ] );
    out = silk_SMLAWB( out, buf32[ -8 ], coef16[ 8 ] );
    out = silk_SMLAWB( out, buf32[ -9 ], coef16[ 9 ] );

    if( order == 16 )
    {
        out = silk_SMLAWB( out, buf32[ -10 ], coef16[ 10 ] );
        out = silk_SMLAWB( out, buf32[ -11 ], coef16[ 11 ] );
        out = silk_SMLAWB( out, buf32[ -12 ], coef16[ 12 ] );
        out = silk_SMLAWB( out, buf32[ -13 ], coef16[ 13 ] );
        out = silk_SMLAWB( out, buf32[ -14 ], coef16[ 14 ] );
        out = silk_SMLAWB( out, buf32[ -15 ], coef16[ 15 ] );
    }
    return out;
}

#define silk_noise_shape_quantizer_short_prediction(in, coef, coefRev, order, arch)  ((void)arch,silk_noise_shape_quantizer_short_prediction_c(in, coef, order))

static OPUS_INLINE opus_int32 silk_NSQ_noise_shape_feedback_loop_c(const opus_int32 *data0, opus_int32 *data1, const opus_int16 *coef, opus_int order)
{
    opus_int32 out;
    opus_int32 tmp1, tmp2;
    opus_int j;

    tmp2 = data0[0];
    tmp1 = data1[0];
    data1[0] = tmp2;

    out = silk_RSHIFT(order, 1);
    out = silk_SMLAWB(out, tmp2, coef[0]);

    for (j = 2; j < order; j += 2) {
        tmp2 = data1[j - 1];
        data1[j - 1] = tmp1;
        out = silk_SMLAWB(out, tmp1, coef[j - 1]);
        tmp1 = data1[j + 0];
        data1[j + 0] = tmp2;
        out = silk_SMLAWB(out, tmp2, coef[j]);
    }
    data1[order - 1] = tmp1;
    out = silk_SMLAWB(out, tmp1, coef[order - 1]);
    /* Q11 -> Q12 */
    out = silk_LSHIFT32( out, 1 );
    return out;
}

#define silk_NSQ_noise_shape_feedback_loop(data0, data1, coef, order, arch)  ((void)arch,silk_NSQ_noise_shape_feedback_loop_c(data0, data1, coef, order))

#if defined(OPUS_ARM_MAY_HAVE_NEON_INTR)
#include "arm/NSQ_neon.h"
#endif

#endif /* SILK_NSQ_H */