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TMS320F28379D: 2837xd routine "cla_ex1_asin" , Is the CLAasinTable's parameter generated by the regression analysis function coeff() in MATLAB?

Part Number: TMS320F28379D

float CLAasinTable[]={
0.0, 1.0, 0.0,
0.000000636202, 0.999877862610, 0.007815361896,
0.000005099694, 0.999510644409, 0.015647916155,
0.000017268312, 0.998895919094, 0.023514960332,
0.000041121765, 0.998029615282, 0.031434003631,
0.000080794520, 0.996905974725, 0.039422875916,
0.000140631089, 0.995517492804, 0.047499840611,
0.000225244584, 0.993854840311, 0.055683712914,
0.000339579512, 0.991906765146, 0.063993984848,
0.000488979852, 0.989659972212, 0.072450958820,
0.000679263611, 0.987098979366, 0.081075891529,
0.000916805182, 0.984205946802, 0.089891150305,
0.001208627040, 0.980960476685, 0.098920384204,
0.001562502549, 0.977339379243, 0.108188712551,
0.001987071928, 0.973316400729, 0.117722933997,
0.002491973784, 0.968861907789, 0.127551759665,
0.003087995053, 0.963942521723, 0.137706074532,
0.003787242692, 0.958520694794, 0.148219231941,
0.004603341138, 0.952554219267, 0.159127386977,
0.005551660294, 0.945995657913, 0.170469875522,
0.006649579796, 0.938791682505, 0.182289647088,
0.007916796475, 0.930882303984, 0.194633761132,
0.009375683410, 0.922199974574, 0.207553958472,
0.011051710808, 0.912668537890, 0.221107321885,
0.012973941175, 0.902201997769, 0.235357042896,
0.015175614174, 0.890703070035, 0.250373315541,
0.017694840102, 0.878061473098, 0.266234382514,
0.020575425537, 0.864151902887, 0.283027765009,
0.023867860513, 0.848831624374, 0.300851714968,
0.027630504055, 0.831937595031, 0.319816937941,
0.031931014547, 0.813283013821, 0.340048646894,
0.036848083955, 0.792653161200, 0.361689022958,
0.042473551274, 0.769800358920, 0.384900179460,
0.048914992206, 0.744437830278, 0.409867752228,
0.056298910750, 0.716232177740, 0.436805274317,
0.064774696786, 0.684794109766, 0.465959540059,
0.074519565699, 0.649666934178, 0.497617226179,
0.085744766889, 0.610312179660, 0.532113122767,
0.098703445606, 0.566091493186, 0.569840443472,
0.113700678529, 0.516243664372, 0.611263845480,
0.131106395009, 0.459855210927, 0.656936015611,
0.151372169232, 0.395822366759, 0.707518998893,
0.175053263659, 0.322801460177, 0.763811905770,
0.202837883870, 0.239143420888, 0.826787304376,
0.235586468765, 0.142806299514, 0.897639596948,
0.274385149825, 0.031236880585, 0.977850174820,
0.320619535938, -0.098791845166, 1.069276441800,
0.376078169620, -0.251407364538, 1.174275392129,
0.443100143614, -0.431959397725, 1.295878193174,
0.524789871827, -0.647485610469, 1.438041695773,
0.625336471263, -0.907400624736, 1.606018804842,
0.750500589935, -1.224540947101, 1.806917563896,
0.908377657341, -1.616794995066, 2.050569262035,
1.110633894185, -2.109729648039, 2.350920816737,
1.374584721437, -2.740985157716, 2.728353889708,
1.726848242753, -3.567962877198, 3.213722960014,
2.210117561056, -4.682006534082, 3.855770086891,
2.896554011854, -6.236312386687, 4.735651038017,
3.916505715382, -8.505488022524, 5.997790945975,
5.526855868703, -12.026617159136, 7.922628470498,
8.298197116322, -17.983705080358, 11.123941286820,
13.741706072449, -29.488929624542, 17.203344479111,
27.202707817485, -57.466598393615, 31.741016484669,
83.158101335898, -171.803399517566, 90.149831709374
};

float asin_expected[BUFFER_SIZE]={
1.570796, 1.393789, 1.320141, 1.263401, 1.215375,
1.172892, 1.134327, 1.098718, 1.065436, 1.034046,
1.004232, 0.9757544, 0.9484279, 0.9221048, 0.8966658,
0.8720123, 0.8480621, 0.8247454, 0.8020028, 0.7797828,
0.7580408, 0.7367374, 0.7158381, 0.6953120, 0.6751316,
0.6552721, 0.6357113, 0.6164289, 0.5974064, 0.5786270,
0.5600753, 0.5417370, 0.5235988, 0.5056486, 0.4878751,
0.4702678, 0.4528166, 0.4355124, 0.4183464, 0.4013104,
0.3843968, 0.3675981, 0.3509074, 0.3343180, 0.3178237,
0.3014185, 0.2850964, 0.2688521, 0.2526802, 0.2365756,
0.2205333, 0.2045484, 0.1886164, 0.1727327, 0.1568929,
0.1410927, 0.1253278, 0.1095943, 0.09388787, 0.07820469,
0.06254076, 0.04689218, 0.03125509, 0.01562564
};

void CLA_runTest(void)
{
int16_t i;
float error;

for(i = 0; i < BUFFER_SIZE; i++)
{
fVal= (float)(BUFFER_SIZE - i)/(float)BUFFER_SIZE;
CLA_forceTasks(CLA1_BASE,CLA_TASKFLAG_1);
WAITSTEP;
y[i] = fResult;
error = fabsf(asin_expected[i]-y[i]);

if(error < 0.1f)
{
Example_PassCount++;
}
else
{
Example_Fail++;
}
}

__interrupt void Cla1Task1 ( void )
{
//
//Local Variables
//
int xTblIdx; //integer valued Table index
float A0,A1,A2; //Table coefficients
float *entry;
float result;

//
//Preprocessing
//
__mdebugstop();
xTblIdx = fVal * TABLE_SIZE_M_1; //convert table index to u16-bits
xTblIdx = xTblIdx * 3; //Table is ordered as 3 32-bit coefficients, the
//index points to these triplets, hence the *3*sizeof(float)
entry = &CLAasinTable[xTblIdx];
A0 = *entry++;
A1 = *entry++;
A2 = *entry;


result = A0 + fVal*(A1 + A2*fVal);

//
//Post processing
//
if(fVal < 0)
{
result = - result;
}

fResult = result;
}

//Task 1 : Calculate asin(X)
// Description:
// Step(1): Calculate absolute of the input X
//
// Step(2): Use the upper 6-bits of input "X" value as an
// index into the table to obtain the coefficients
// for a second order equation:
//
// _FPUasinTable:
// CoeffA0[0]
// CoeffA1[0]
// CoeffA2[0]
// .
// .
// CoeffA0[63]
// CoeffA1[63]
// CoeffA2[63]
//
// Step(3): Calculate the angle using the following equation:
//
// arctan(Ratio) = A0 + A1*Ratio + A2*Ratio*Ratio
// arctan(Ratio) = A0 + Ratio(A1 + A2*Ratio)
//
// Step(4): The final angle is determined as follows:
//
// if( X < 0 )
// Angle = -Angle

2837xd routine "cla_ex1_asin" ,There are 64 groups that each have three parameters  in the CLAasinTable. Do each group of parameters use the parameter values of the fitting curve generated by the regression analysis function coeff in MATLAB? A total of 64 groups, respectively, corresponding to the fitting parameters of arcsin curve. Then, the values of 64 arcsin are calculated by the curve equation represented by 64 groups of fitting parameters, and then compared with values of asin_expected. This routine is like this, right?