FreeCalypso > hg > efr-experiments
annotate src/g_code.c @ 8:8b17df8f6340 default tip
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author | Mychaela Falconia <falcon@freecalypso.org> |
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date | Wed, 17 Apr 2024 17:30:25 +0000 |
parents | 56410792419a |
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1 /************************************************************************* |
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2 * |
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3 * FUNCTION: G_code |
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4 * |
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5 * PURPOSE: Compute the innovative codebook gain. |
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6 * |
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7 * DESCRIPTION: |
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8 * The innovative codebook gain is given by |
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9 * |
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10 * g = <x[], y[]> / <y[], y[]> |
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11 * |
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12 * where x[] is the target vector, y[] is the filtered innovative |
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13 * codevector, and <> denotes dot product. |
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14 * |
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15 *************************************************************************/ |
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16 |
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17 #include "typedef.h" |
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18 #include "basic_op.h" |
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19 #include "count.h" |
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20 #include "cnst.h" |
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21 |
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22 Word16 G_code ( /* out : Gain of innovation code */ |
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23 Word16 xn2[], /* in : target vector */ |
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24 Word16 y2[] /* in : filtered innovation vector */ |
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25 ) |
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26 { |
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27 Word16 i; |
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28 Word16 xy, yy, exp_xy, exp_yy, gain; |
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29 Word16 scal_y2[L_SUBFR]; |
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30 Word32 s; |
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31 |
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32 /* Scale down Y[] by 2 to avoid overflow */ |
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33 |
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34 for (i = 0; i < L_SUBFR; i++) |
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35 { |
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36 scal_y2[i] = shr (y2[i], 1); move16 (); |
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37 } |
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38 |
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39 /* Compute scalar product <X[],Y[]> */ |
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40 |
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41 s = 1L; move32 (); /* Avoid case of all zeros */ |
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42 for (i = 0; i < L_SUBFR; i++) |
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43 { |
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44 s = L_mac (s, xn2[i], scal_y2[i]); |
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45 } |
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46 exp_xy = norm_l (s); |
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47 xy = extract_h (L_shl (s, exp_xy)); |
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48 |
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49 /* If (xy < 0) gain = 0 */ |
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50 |
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51 test (); |
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52 if (xy <= 0) |
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53 return ((Word16) 0); |
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54 |
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55 /* Compute scalar product <Y[],Y[]> */ |
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56 |
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57 s = 0L; move32 (); |
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58 for (i = 0; i < L_SUBFR; i++) |
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59 { |
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60 s = L_mac (s, scal_y2[i], scal_y2[i]); |
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61 } |
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62 exp_yy = norm_l (s); |
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63 yy = extract_h (L_shl (s, exp_yy)); |
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64 |
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65 /* compute gain = xy/yy */ |
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66 |
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67 xy = shr (xy, 1); /* Be sure xy < yy */ |
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68 gain = div_s (xy, yy); |
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69 |
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70 /* Denormalization of division */ |
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71 i = add (exp_xy, 5); /* 15-1+9-18 = 5 */ |
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72 i = sub (i, exp_yy); |
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73 |
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74 gain = shr (gain, i); |
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75 |
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76 return (gain); |
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77 } |