Smart Remote 3 nRF52 v1.2
NSQ.h
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28 #ifndef SILK_NSQ_H
29 #define SILK_NSQ_H
30 
31 #include "SigProc_FIX.h"
32 
33 #undef silk_short_prediction_create_arch_coef
34 
35 static OPUS_INLINE opus_int32 silk_noise_shape_quantizer_short_prediction_c(const opus_int32 *buf32, const opus_int16 *coef16, opus_int order)
36 {
37  opus_int32 out;
38  silk_assert( order == 10 || order == 16 );
39 
40  /* Avoids introducing a bias because silk_SMLAWB() always rounds to -inf */
41  out = silk_RSHIFT( order, 1 );
42  out = silk_SMLAWB( out, buf32[ 0 ], coef16[ 0 ] );
43  out = silk_SMLAWB( out, buf32[ -1 ], coef16[ 1 ] );
44  out = silk_SMLAWB( out, buf32[ -2 ], coef16[ 2 ] );
45  out = silk_SMLAWB( out, buf32[ -3 ], coef16[ 3 ] );
46  out = silk_SMLAWB( out, buf32[ -4 ], coef16[ 4 ] );
47  out = silk_SMLAWB( out, buf32[ -5 ], coef16[ 5 ] );
48  out = silk_SMLAWB( out, buf32[ -6 ], coef16[ 6 ] );
49  out = silk_SMLAWB( out, buf32[ -7 ], coef16[ 7 ] );
50  out = silk_SMLAWB( out, buf32[ -8 ], coef16[ 8 ] );
51  out = silk_SMLAWB( out, buf32[ -9 ], coef16[ 9 ] );
52 
53  if( order == 16 )
54  {
55  out = silk_SMLAWB( out, buf32[ -10 ], coef16[ 10 ] );
56  out = silk_SMLAWB( out, buf32[ -11 ], coef16[ 11 ] );
57  out = silk_SMLAWB( out, buf32[ -12 ], coef16[ 12 ] );
58  out = silk_SMLAWB( out, buf32[ -13 ], coef16[ 13 ] );
59  out = silk_SMLAWB( out, buf32[ -14 ], coef16[ 14 ] );
60  out = silk_SMLAWB( out, buf32[ -15 ], coef16[ 15 ] );
61  }
62  return out;
63 }
64 
65 #define silk_noise_shape_quantizer_short_prediction(in, coef, coefRev, order, arch) ((void)arch,silk_noise_shape_quantizer_short_prediction_c(in, coef, order))
66 
67 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)
68 {
69  opus_int32 out;
70  opus_int32 tmp1, tmp2;
71  opus_int j;
72 
73  tmp2 = data0[0];
74  tmp1 = data1[0];
75  data1[0] = tmp2;
76 
77  out = silk_RSHIFT(order, 1);
78  out = silk_SMLAWB(out, tmp2, coef[0]);
79 
80  for (j = 2; j < order; j += 2) {
81  tmp2 = data1[j - 1];
82  data1[j - 1] = tmp1;
83  out = silk_SMLAWB(out, tmp1, coef[j - 1]);
84  tmp1 = data1[j + 0];
85  data1[j + 0] = tmp2;
86  out = silk_SMLAWB(out, tmp2, coef[j]);
87  }
88  data1[order - 1] = tmp1;
89  out = silk_SMLAWB(out, tmp1, coef[order - 1]);
90  /* Q11 -> Q12 */
91  out = silk_LSHIFT32( out, 1 );
92  return out;
93 }
94 
95 #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))
96 
97 #if defined(OPUS_ARM_MAY_HAVE_NEON_INTR)
98 #include "arm/NSQ_neon.h"
99 #endif
100 
101 #endif /* SILK_NSQ_H */

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