FreeCalypso > hg > efr-experiments
annotate src/inv_sqrt.c @ 2:c511bfb36c2a
beginning of EFR2 decoder, using AMR version of AGC module
author | Mychaela Falconia <falcon@freecalypso.org> |
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date | Wed, 03 Apr 2024 05:47:51 +0000 |
parents | 56410792419a |
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1 /************************************************************************* |
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2 * |
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3 * FUNCTION: Inv_sqrt |
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4 * |
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5 * PURPOSE: Computes 1/sqrt(L_x), where L_x is positive. |
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6 * If L_x is negative or zero, the result is 1 (3fff ffff). |
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7 * |
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8 * DESCRIPTION: |
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9 * The function 1/sqrt(L_x) is approximated by a table and linear |
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10 * interpolation. The inverse square root is computed using the |
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11 * following steps: |
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12 * 1- Normalization of L_x. |
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13 * 2- If (30-exponent) is even then shift right once. |
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14 * 3- exponent = (30-exponent)/2 +1 |
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15 * 4- i = bit25-b31 of L_x; 16<=i<=63 because of normalization. |
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16 * 5- a = bit10-b24 |
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17 * 6- i -=16 |
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18 * 7- L_y = table[i]<<16 - (table[i] - table[i+1]) * a * 2 |
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19 * 8- L_y >>= exponent |
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20 * |
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21 *************************************************************************/ |
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22 |
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23 #include "typedef.h" |
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24 #include "basic_op.h" |
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25 #include "count.h" |
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26 |
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27 #include "inv_sqrt.tab" /* Table for inv_sqrt() */ |
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28 |
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29 Word32 Inv_sqrt ( /* (o) : output value */ |
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30 Word32 L_x /* (i) : input value */ |
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31 ) |
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32 { |
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33 Word16 exp, i, a, tmp; |
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34 Word32 L_y; |
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35 |
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36 test (); |
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37 if (L_x <= (Word32) 0) |
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38 return ((Word32) 0x3fffffffL); |
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39 |
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40 exp = norm_l (L_x); |
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41 L_x = L_shl (L_x, exp); /* L_x is normalize */ |
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42 |
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43 exp = sub (30, exp); |
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44 test (); logic16 (); |
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45 if ((exp & 1) == 0) /* If exponent even -> shift right */ |
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46 { |
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47 L_x = L_shr (L_x, 1); |
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48 } |
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49 exp = shr (exp, 1); |
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50 exp = add (exp, 1); |
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51 |
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52 L_x = L_shr (L_x, 9); |
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53 i = extract_h (L_x); /* Extract b25-b31 */ |
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54 L_x = L_shr (L_x, 1); |
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55 a = extract_l (L_x); /* Extract b10-b24 */ |
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56 a = a & (Word16) 0x7fff; logic16 (); |
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57 |
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58 i = sub (i, 16); |
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59 |
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60 L_y = L_deposit_h (table[i]); /* table[i] << 16 */ |
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61 tmp = sub (table[i], table[i + 1]); /* table[i] - table[i+1]) */ |
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62 L_y = L_msu (L_y, tmp, a); /* L_y -= tmp*a*2 */ |
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63 |
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64 L_y = L_shr (L_y, exp); /* denormalization */ |
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65 |
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66 return (L_y); |
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67 } |