autocor.dsp

作者:Analog Devices,Inc 平台：ADSP21xx 编程语言：ASM 说明：ADSP21xx用AD的16位定点DSP作音频压缩器性价比不错

.module/boot=3/boot=4      autocorrelation_of_speech;

{  AUTOCOR.DSP - perform autocorrelation on input speech frame.

  INPUT:
    i0 -> frame of speech (dm)
    l0 =  0
    i6 -> buffer for autocorrelation (pm)
    l6 =  0

  OUTPUT: autocorrelation buffer filled

  FUNCTIONS CALLED:
    None

  DESCRIPTION:
    First the speech is autoscaled (IN PLACE!!), to avoid overflow. 
    The autocorrelation is calculated, and normalized so r[0] = 1 (0x7fff).
}
{include constant and macro definitions}
#include "lpc.h";

.entry            a_correlate;  

.external         overflow;

{.var/pm/ram/circ  copy_of_speech[FRAME_LENGTH];}

.var/dm           p2_speech;
.var/dm           p2_autocor_speech;

a_correlate:

 {store pointers for later use} 
  dm(p2_speech)         = i0;
  dm(p2_autocor_speech) = i6;
 
 {auto scale input before correlating}
 {first: detect largest exp in speech}
  {i0 -> speech)} 
  cntr = FRAME_LENGTH;
  sb = -16;
  do max_speech until ce;
    si = dm(i0,m1);
  max_speech:  sb = expadj si;

  {adjust speech input: normalize to largest and then right shift
   to |AC_SHIFT|.(16-|AC_SHIFT|) format (done in one shift).
   At the same time copy to pm for correlation}
  i0 = dm(p2_speech);          l0 = 0; 
  i5 = dm(p2_autocor_speech);  l5 = 0;
  cntr = FRAME_LENGTH;
  ax0 = sb;
  ay0 = AC_SHIFT;  {scale down to avoid overflow (worst case)}
  ar = ay0 - ax0;  {effective scale value}
  se = ar;
  do adj_speech until ce;
    si = dm(i0,m0);
    sr = ashift si (hi);
    pm(i5,m5) = sr1;
  adj_speech: dm(i0,m1) = sr1;

 {do autocorrelation, R[i] = sum_of s[j]*s[i+j]}
 {NOTE: the counter updating scheme, might cause a "acces to 
  non-existing memory" in the simulator/emulator}
  i5 = dm(p2_autocor_speech);   l5 = 0;   {s[i+j]}
   {i6 -> autocor_speech}                 {->R[i]}
  i2 = FRAME_LENGTH;            l2 = 0;
  m2 = -1;
  cntr = FRAME_LENGTH;
  do corr_loop until ce;          {i loop}
    i0 = dm(p2_speech);   l0 = 0; {->s[j]}
    i4 = i5;              l4 = 0; {->s[i+j]}
    cntr=i2;
    mr=0, my0=pm(i4,m5), mx0=dm(i0,m1);
    do cor_data_loop until ce;  {j loop}
    cor_data_loop: mr=mr+mx0*my0(ss),my0=pm(i4,m5),mx0=dm(i0,m1);
    if mv call overflow;
    mx0 = dm(i2,m2), my0 = pm(i5,m5); {update counters: - }
                                      {(innerloop cnt'er)--, i++)}
  corr_loop: pm(i6,m5) = mr1;         {store R[i]}

 {Normalize autocorrelation sequence}
 {shift sequnece for maximum precision before division}
  i5 = dm(p2_autocor_speech);  l5 = 0;
  cntr = FRAME_LENGTH - 1;
  si = pm(i5,m4);      {R(0)}
  se = exp si (hi);
  sr = norm si (hi);
  pm(i5,m5) = sr1;     {new R(0)}
  do sh_cor until ce;  {shift remaining sequence accordingly}
    si = pm(i5,m4);  
    sr = norm si (hi);
  sh_cor: pm(i5,m5) = sr1;

 {calculate R(i)/R(0)}
  i5 = dm(p2_autocor_speech);  l5 = 0;
  cntr = FRAME_LENGTH - 1;
  ax0 = pm(i5,m4);  {ax0 = divisor = R(0)}
  ay0 = 0x7fff;
  pm(i5,m5) = ay0;   {new R(0) = 1}
  do nrm_cor until ce;
    ay1 = pm(i5,m4);  {ay1 = MSW of dividend }
    ay0 = 0x0000;     {ay0 = LSW of dividend}
    divide(ax0,ay1);
  nrm_cor: pm(i5,m5) = ay0;

rts;

.endmod;