Hi Sean de Wolski,
Thanks for your quick reply. However, from here the difference is not so small. The results from matlab are: 1.0e+005 *
4.313512092938006
0.300430732843556 - 0.005783095388433i
-0.147813810099868 + 0.000951173782191i
0.133108569308995 - 0.003373860065190i
-0.061656447655613 + 0.003328454544711i
0.027192760859384 - 0.000603671006620i
-0.005797878506124 - 0.000492192018536i
-0.001061055121786 + 0.001998424724582i
0.021577859002924 - 0.002456894682518i
-0.021811429158957 + 0.003207842695919i
0.017735324252322 - 0.003028416146602i
-0.014305192477317 - 0.000474115939438i
0.013515213478997 - 0.002166798336642i
-0.004684409887853 + 0.003175414468610i
-0.000443185935397 + 0.000308035524811i
0.003853153787452 - 0.002023631130418i
-0.005850698801703 + 0.000216651950420i
0.012856303304599 - 0.001080645604734i
-0.005791634751852 + 0.002526085886894i
0.005578657992319 - 0.000926823744157i
-0.000112906707825 + 0.001805996486923i
0.001274493397202 + 0.000127337940853i
-0.001556944764524 - 0.000427023062860i
-0.002102718086437 - 0.000349736278996i
0.002944493706193 - 0.003170105190536i
-0.001861635715701 - 0.000525536225213i
0.002975662968139 - 0.000719539330124i
-0.002191858687055 + 0.000974062580574i
0.000491769705110 - 0.001428164102981i
-0.000607238680120 - 0.000256915753116i
0.002503276464045 + 0.001201049865073i
0.000502580943466 - 0.000828435382671i
-0.001255667660083 + 0.000254113854892i
0.001911608261996 - 0.002132432317272i
-0.000122452068500 - 0.001590327883673i
0.000678876401114 - 0.002190333520453i
0.000850110098716 + 0.001294448469562i
0.002221809217307 - 0.000687101621501i
0.001690063348324 - 0.000139630162640i
0.001283562042216 + 0.000855341907948i
0.002625543849526 - 0.001037104423102i
0.000443377947227 + 0.002073096558817i
-0.000133656504791 - 0.000054353863241i
-0.001507985869583 - 0.001123830171823i
0.001803796928052 - 0.000319702526871i
0.000802884469623 + 0.001769241259875i
0.000017848403353 + 0.000495263516297i
-0.000878046846166 - 0.002090322061183i
-0.001684884158707 + 0.000640259092086i
0.000349058948051 - 0.002674201272202i
0.001317964739399 - 0.000682460501570i
0.000136079066329 - 0.000196295344922i
-0.000751139021633 - 0.000771625053355i
0.001165570869108 + 0.001735364213629i
-0.000174024655019 + 0.001713751491137i
-0.000142209151696 - 0.001924788489301i
-0.001616076044371 - 0.000170224894442i
0.000779708646816 + 0.001697818033402i
0.002037664934465 - 0.000305846247259i
0.000752313211467 - 0.000118969236097i
-0.001010826774948 + 0.001686222917862i
-0.000086432763696 + 0.000856642401964i
0.001333583110647 + 0.000499768614078i
-0.000941810898597 - 0.000492021314954i
0.000162814303691 + 0.000686033402377i
0.001251368703072 + 0.000230732674254i
0.000737206223204 + 0.000479604300745i
-0.000537515690459 + 0.000473585154103i
0.000927698765764
-0.000537515690459 - 0.000473585154103i
0.000737206223204 - 0.000479604300745i
0.001251368703072 - 0.000230732674254i
0.000162814303691 - 0.000686033402377i
-0.000941810898597 + 0.000492021314954i
0.001333583110647 - 0.000499768614078i
-0.000086432763696 - 0.000856642401964i
-0.001010826774948 - 0.001686222917862i
0.000752313211467 + 0.000118969236097i
0.002037664934465 + 0.000305846247259i
0.000779708646816 - 0.001697818033402i
-0.001616076044371 + 0.000170224894442i
-0.000142209151696 + 0.001924788489301i
-0.000174024655019 - 0.001713751491137i
0.001165570869108 - 0.001735364213629i
-0.000751139021633 + 0.000771625053355i
0.000136079066329 + 0.000196295344922i
0.001317964739399 + 0.000682460501571i
0.000349058948051 + 0.002674201272202i
-0.001684884158707 - 0.000640259092086i
-0.000878046846166 + 0.002090322061183i
0.000017848403353 - 0.000495263516297i
0.000802884469623 - 0.001769241259875i
0.001803796928052 + 0.000319702526871i
-0.001507985869583 + 0.001123830171823i
-0.000133656504791 + 0.000054353863241i
0.000443377947227 - 0.002073096558817i
0.002625543849526 + 0.001037104423102i
0.001283562042216 - 0.000855341907948i
0.001690063348324 + 0.000139630162640i
0.002221809217307 + 0.000687101621501i
0.000850110098716 - 0.001294448469563i
0.000678876401114 + 0.002190333520453i
-0.000122452068500 + 0.001590327883673i
0.001911608261996 + 0.002132432317272i
-0.001255667660083 - 0.000254113854892i
0.000502580943466 + 0.000828435382671i
0.002503276464045 - 0.001201049865073i
-0.000607238680120 + 0.000256915753116i
0.000491769705110 + 0.001428164102981i
-0.002191858687055 - 0.000974062580574i
0.002975662968139 + 0.000719539330124i
-0.001861635715701 + 0.000525536225213i
0.002944493706193 + 0.003170105190536i
-0.002102718086437 + 0.000349736278996i
-0.001556944764524 + 0.000427023062860i
0.001274493397202 - 0.000127337940853i
-0.000112906707825 - 0.001805996486923i
0.005578657992319 + 0.000926823744157i
-0.005791634751852 - 0.002526085886894i
0.012856303304599 + 0.001080645604734i
-0.005850698801703 - 0.000216651950420i
0.003853153787452 + 0.002023631130418i
-0.000443185935397 - 0.000308035524811i
-0.004684409887853 - 0.003175414468610i
0.013515213478997 + 0.002166798336642i
-0.014305192477317 + 0.000474115939438i
0.017735324252322 + 0.003028416146602i
-0.021811429158957 - 0.003207842695919i
0.021577859002924 + 0.002456894682518i
-0.001061055121786 - 0.001998424724582i
-0.005797878506124 + 0.000492192018536i
0.027192760859384 + 0.000603671006620i
-0.061656447655613 - 0.003328454544711i
0.133108569308995 + 0.003373860065190i
-0.147813810099868 - 0.000951173782191i
0.300430732843556 + 0.005783095388433i
But results from C++ code are as follows:
72422.083779590306 -21175.927029026894
11125.992351540337 3106.1219836735977
6843.8805862924828 3554.4005362181247
4356.1650364638035 2570.7688328224426
3420.3547292047629 0.31787260351634089
4700.1741689654591 -2577.2663742471132
7910.0731580255633 -3855.9217257203227
13419.434500006109 -4115.2819077652211
-13282.696522193037 -30704.471141475420
7971.4850412689193 3265.5656871257138
5862.2579664486675 4181.4237102004063
3696.9860231590023 2941.4488545757381
3051.9471877097153 129.42359763279092
4852.0985869896149 -2863.1910672093150
9114.7261030580539 -5404.2257888381619
48675.808343791687 -29709.095883131220
-34398.075003605700 -18366.992612829283
5138.7854450924133 4996.7355815242800
4654.2058745860568 4864.4564801580163
1543.8705522082814 4071.7857881112859
1819.7875797722779 457.90605746160725
2830.8298912636742 -2275.1392367139283
9716.4329594613992 -7783.0865968464159
-3630.7897718976387 9142.7833067804131
-8845.6457668685016 414.34287820314398
4992.1599224602105 4868.9723525938753
3229.5822994476157 4878.3164657138086
736.67044680706999 3430.1969587796079
957.35710922778412 -1031.5653556290436
2480.5289862458612 -5208.5851937693360
25700.781958828022 -39844.385866482604
-394.49267492773350 7591.7737507502407
-20665.267900238770 27776.650484342088
-1473.5210380044171 4785.8222036708621
60.051900129337277 7119.4630475685044
-830.62218704141992 3490.4524725087017
-1074.6118697358522 -875.00645669774576
2877.6149243907121 -9498.2795773337984
-9229.4478008981059 18304.491631238121
308.96239530547393 4249.9275609692568
-2404.7107375548189 8985.3059745066676
2132.7840149464282 4447.5810777565584
-477.38110141003563 4978.7152523136738
-2549.9004910493386 2030.8234215058337
-3073.6612221284904 -4054.7995961807842
5432.9358533986097 -38643.332288489612
-3605.4539005091733 9775.7604208193752
45.552641515049103 4113.9140568298253
221.05280647733633 12207.662006532393
-278.76886434015228 7710.8290184780490
-1890.2508641515733 3916.7204912494567
-4536.8419186779274 2104.3932757967714
-5059.1810510076248 -8576.6255176689756
-6110.5398786129972 29323.824846673553
-2794.5666980626256 4779.6064599904876
-198.13055532286543 1728.5801399849456
1797.5246407960512 3609.7437062598865
-576.50490459068919 3309.6370867571586
-3325.1497702358815 1971.7321719294284
-6523.0645758753290 -1698.9721656553158
-12240.582997565247 -30058.889007986600
-2717.1305815325768 11518.450610493081
-1454.2548795338439 4192.0167255739652
52.786090168379495 1026.7177630023957
-10338.642087783273 13642.323636409885
-6812.9003180914069 2866.9799795768654
-3792.8505170487479 -230.78805726075026
-7213.3223499798705 -7679.6190964047646
321.28615576961795 36259.999009415274
-4383.7395961326183 3415.7340629150949
-2309.0277783778693 -1088.5516338423911
-180.79148605519302 -1836.5173221714188
743.63999390828008 -6101.2152527950202
-1134.2989609607107 -524.23819381373767
-4792.5955569409125 -2348.0148101847226
-14766.177531123119 -21182.107722402230
-439.08920376328257 10344.607622734815
-2542.4461870583073 599.14559236859304
-845.19793586519643 -2599.3865384547471
1187.5292526634566 -2785.6446093624072
-9038.0486912758315 -7065.9521600213020
80.625318829726467 10.714344970158622
-5653.8415272376815 -4732.4052208226767
21190.907021163606 37007.587554493541
-852.94447933068420 3637.7765490408310
-2098.0122985887024 -2686.0869132157095
261.25956450206797 -4322.5060757986057
1970.2539612731198 -4518.7374882269842
-7274.3941270798468 -4518.5287317769698
-330.11620341411918 -2225.0447706025757
-11852.288982194095 -10043.221245743609
6679.5226265230413 7775.3855646021684
1377.9236897985454 1025.0031917079912
113.67914951110266 -3664.2480443867912
3090.0901443598441 -4740.7616094401865
4285.8937306032358 -4849.8787958145267
-24356.495771448343 14480.960943266133
-5295.8195730284415 -3506.5828383575276
40818.185859963669 30465.471866954791
3565.6822875299658 3109.8019153641180
997.99930535255316 -1037.8513161753970
1596.4431752630942 -4058.2212596692852
2371.8530430438618 -6235.0706981591920
5157.0953715735923 -5258.0134317301263
-5483.7061459089282 6393.6879372332833
-2472.6887179699484 -4024.0136908333516
11191.498476511286 4243.0178602305305
4326.6288886882658 1068.9429182750932
2523.3147519425652 -1914.9842759916771
4750.3542365514413 -4293.9197562996178
4884.6046593881738 -6045.4671383659079
7723.2247447638074 -4995.1376654136848
-8572.1840474269666 38548.652251609477
57941.834946725779 12129.156253256031
8352.6956653903162 2187.0454560172848
3106.6583415751998 386.09826727500115
3429.7058523298415 -1988.1225111991816
1628.0516246254488 -4714.1787317279168
5902.3957729349340 -5738.5628963074414
8049.8073106827114 -4652.4255896710165
9145.3967079252434 32125.876528317396
12010.057611526385 766.20021100067629
8174.8653008944102 1558.3663819684973
4622.4202209866007 570.29637943909381
5678.5596863576793 -2317.1898630674232
3994.7403360780213 -4371.9898884749864
8688.5972400898154 -5958.6490558767273
10928.004975388818 -5130.2471041175613
2965.8936925455027 8488.5318855891073
1091.4535707318753 -1704.1399129821730
-3792.8505170487479 -230.78805726075026
-7213.3223499798705 -7679.6190964047646
0.00000000000000000 0.00000000000000000
0.00000000000000000 0.00000000000000000
0.00000000000000000 0.00000000000000000
0.00000000000000000 0.00000000000000000
C++ codes generated by matlab coder are:
/// ifft.c
/* * ifft.c * * Code generation for function 'ifft' * * C source code generated on: Thu Aug 01 16:42:35 2013 * */
/* Include files */
#include "rt_nonfinite.h"
#include "Dissociation.h"
#include "ifft.h"
#include "Dissociation_emxutil.h"
#include "Dissociation_rtwutil.h"
/* Function Definitions */
/* * */ void b_ifft(const emxArray_creal_T *x, emxArray_creal_T *y)
{
uint32_T sz[2];
int32_T ju;
int32_T minval;
emxArray_real_T *costab1q;
int32_T nd2;
int32_T ixDelta;
int32_T nRowsD2;
int32_T nRowsD4;
int32_T lastChan;
real_T e;
int32_T k;
emxArray_real_T *costab;
emxArray_real_T *sintab;
int32_T ix;
int32_T chanStart;
int32_T i;
boolean_T tst;
real_T temp_re;
real_T temp_im;
int32_T iDelta;
int32_T iDelta2;
int32_T iheight;
int32_T ihi;
real_T twid_im;
for (ju = 0; ju < 2; ju++) {
sz[ju] = (uint32_T)x->size[ju];
}
ju = y->size[0] * y->size[1];
y->size[0] = x->size[0];
y->size[1] = (int32_T)sz[1];
emxEnsureCapacity((emxArray__common *)y, ju, (int32_T)sizeof(creal_T));
if ((x->size[0] == 0) || (x->size[1] == 0)) {
} else {
minval = x->size[0];
b_emxInit_real_T(&costab1q, 2);
nd2 = (x->size[0] - minval) + 1;
if (1 >= nd2) {
ixDelta = 1;
} else {
ixDelta = nd2;
}
ju = x->size[0];
nRowsD2 = ju / 2;
nRowsD4 = nRowsD2 / 2;
lastChan = x->size[0] * (div_s32(x->size[0] * x->size[1], x->size[0]) - 1);
e = 6.2831853071795862 / (real_T)x->size[0];
ju = costab1q->size[0] * costab1q->size[1];
costab1q->size[0] = 1;
costab1q->size[1] = nRowsD4 + 1;
emxEnsureCapacity((emxArray__common *)costab1q, ju, (int32_T)sizeof(real_T));
costab1q->data[0] = 1.0;
nd2 = nRowsD4 / 2;
for (k = 1; k <= nd2; k++) {
costab1q->data[k] = cos(e * (real_T)k);
}
for (k = nd2 + 1; k < nRowsD4; k++) {
costab1q->data[k] = sin(e * (real_T)(nRowsD4 - k));
}
b_emxInit_real_T(&costab, 2);
b_emxInit_real_T(&sintab, 2);
costab1q->data[nRowsD4] = 0.0;
nd2 = (costab1q->size[1] - 1) << 1;
ju = costab->size[0] * costab->size[1];
costab->size[0] = 1;
costab->size[1] = nd2 + 1;
emxEnsureCapacity((emxArray__common *)costab, ju, (int32_T)sizeof(real_T));
ju = sintab->size[0] * sintab->size[1];
sintab->size[0] = 1;
sintab->size[1] = nd2 + 1;
emxEnsureCapacity((emxArray__common *)sintab, ju, (int32_T)sizeof(real_T));
costab->data[0] = 1.0;
sintab->data[0] = 0.0;
for (k = 1; k < costab1q->size[1]; k++) {
costab->data[k] = costab1q->data[k];
sintab->data[k] = costab1q->data[(costab1q->size[1] - k) - 1];
}
for (k = costab1q->size[1]; k <= nd2; k++) {
costab->data[k] = -costab1q->data[nd2 - k];
sintab->data[k] = costab1q->data[(k - costab1q->size[1]) + 1];
}
emxFree_real_T(&costab1q);
ix = 0;
for (chanStart = 0; chanStart <= lastChan; chanStart += x->size[0]) {
ju = 0;
nd2 = chanStart;
for (i = 1; i < minval; i++) {
y->data[nd2] = x->data[ix];
nd2 = x->size[0];
tst = TRUE;
while (tst) {
nd2 >>= 1;
ju ^= nd2;
tst = ((ju & nd2) == 0);
}
nd2 = chanStart + ju;
ix++;
}
y->data[nd2] = x->data[ix];
ix += ixDelta;
ju = (chanStart + x->size[0]) - 2;
if (x->size[0] > 1) {
for (i = chanStart; i <= ju; i += 2) {
temp_re = y->data[i + 1].re;
temp_im = y->data[i + 1].im;
y->data[i + 1].re = y->data[i].re - y->data[i + 1].re;
y->data[i + 1].im = y->data[i].im - y->data[i + 1].im;
y->data[i].re += temp_re;
y->data[i].im += temp_im;
}
}
iDelta = 2;
iDelta2 = 4;
k = nRowsD4;
iheight = 1 + ((nRowsD4 - 1) << 2);
while (k > 0) {
i = chanStart;
ihi = chanStart + iheight;
while (i < ihi) {
nd2 = i + iDelta;
temp_re = y->data[nd2].re;
temp_im = y->data[nd2].im;
y->data[i + iDelta].re = y->data[i].re - y->data[nd2].re;
y->data[i + iDelta].im = y->data[i].im - y->data[nd2].im;
y->data[i].re += temp_re;
y->data[i].im += temp_im;
i += iDelta2;
}
nd2 = chanStart + 1;
for (ju = k; ju < nRowsD2; ju += k) {
e = costab->data[ju];
twid_im = sintab->data[ju];
i = nd2;
ihi = nd2 + iheight;
while (i < ihi) {
temp_re = e * y->data[i + iDelta].re - twid_im * y->data[i + iDelta]
.im;
temp_im = e * y->data[i + iDelta].im + twid_im * y->data[i + iDelta]
.re;
y->data[i + iDelta].re = y->data[i].re - temp_re;
y->data[i + iDelta].im = y->data[i].im - temp_im;
y->data[i].re += temp_re;
y->data[i].im += temp_im;
i += iDelta2;
}
nd2++;
}
k /= 2;
iDelta = iDelta2;
iDelta2 <<= 1;
iheight -= iDelta;
}
}
emxFree_real_T(&sintab);
emxFree_real_T(&costab);
if (y->size[0] > 1) {
e = 1.0 / (real_T)y->size[0];
ju = y->size[0] * y->size[1];
emxEnsureCapacity((emxArray__common *)y, ju, (int32_T)sizeof(creal_T));
nd2 = y->size[0];
ju = y->size[1];
nd2 *= ju;
for (ju = 0; ju < nd2; ju++) {
y->data[ju].re *= e;
y->data[ju].im *= e;
}
}
}
}
/* * */
void ifft(const emxArray_real_T *x, emxArray_creal_T *y)
{
int32_T ju;
int32_T minval;
emxArray_real_T *costab1q;
int32_T nd2;
int32_T ixDelta;
int32_T nRowsD2;
int32_T nRowsD4;
int32_T lastChan;
real_T e;
int32_T k;
emxArray_real_T *costab;
emxArray_real_T *sintab;
int32_T ix;
int32_T chanStart;
int32_T i;
boolean_T tst;
real_T temp_re;
real_T temp_im;
int32_T iDelta;
int32_T iDelta2;
int32_T iheight;
int32_T ihi;
real_T twid_im;
ju = y->size[0];
y->size[0] = x->size[0];
emxEnsureCapacity((emxArray__common *)y, ju, (int32_T)sizeof(creal_T));
if (x->size[0] == 0) {
} else {
minval = x->size[0];
b_emxInit_real_T(&costab1q, 2);
nd2 = (x->size[0] - minval) + 1;
if (1 >= nd2) {
ixDelta = 1;
} else {
ixDelta = nd2;
}
ju = x->size[0];
nRowsD2 = ju / 2;
nRowsD4 = nRowsD2 / 2;
lastChan = x->size[0] * (div_s32(x->size[0], x->size[0]) - 1);
e = 6.2831853071795862 / (real_T)x->size[0];
ju = costab1q->size[0] * costab1q->size[1];
costab1q->size[0] = 1;
costab1q->size[1] = nRowsD4 + 1;
emxEnsureCapacity((emxArray__common *)costab1q, ju, (int32_T)sizeof(real_T));
costab1q->data[0] = 1.0;
nd2 = nRowsD4 / 2;
for (k = 1; k <= nd2; k++) {
costab1q->data[k] = cos(e * (real_T)k);
}
for (k = nd2 + 1; k < nRowsD4; k++) {
costab1q->data[k] = sin(e * (real_T)(nRowsD4 - k));
}
b_emxInit_real_T(&costab, 2);
b_emxInit_real_T(&sintab, 2);
costab1q->data[nRowsD4] = 0.0;
nd2 = (costab1q->size[1] - 1) << 1;
ju = costab->size[0] * costab->size[1];
costab->size[0] = 1;
costab->size[1] = nd2 + 1;
emxEnsureCapacity((emxArray__common *)costab, ju, (int32_T)sizeof(real_T));
ju = sintab->size[0] * sintab->size[1];
sintab->size[0] = 1;
sintab->size[1] = nd2 + 1;
emxEnsureCapacity((emxArray__common *)sintab, ju, (int32_T)sizeof(real_T));
costab->data[0] = 1.0;
sintab->data[0] = 0.0;
for (k = 1; k < costab1q->size[1]; k++) {
costab->data[k] = costab1q->data[k];
sintab->data[k] = costab1q->data[(costab1q->size[1] - k) - 1];
}
for (k = costab1q->size[1]; k <= nd2; k++) {
costab->data[k] = -costab1q->data[nd2 - k];
sintab->data[k] = costab1q->data[(k - costab1q->size[1]) + 1];
}
emxFree_real_T(&costab1q);
ix = 0;
for (chanStart = 0; chanStart <= lastChan; chanStart += x->size[0]) {
ju = 0;
nd2 = chanStart;
for (i = 1; i < minval; i++) {
y->data[nd2].re = x->data[ix];
y->data[nd2].im = 0.0;
nd2 = x->size[0];
tst = TRUE;
while (tst) {
nd2 >>= 1;
ju ^= nd2;
tst = ((ju & nd2) == 0);
}
nd2 = chanStart + ju;
ix++;
}
y->data[nd2].re = x->data[ix];
y->data[nd2].im = 0.0;
ix += ixDelta;
nd2 = (chanStart + x->size[0]) - 2;
if (x->size[0] > 1) {
for (i = chanStart; i <= nd2; i += 2) {
temp_re = y->data[i + 1].re;
temp_im = y->data[i + 1].im;
y->data[i + 1].re = y->data[i].re - y->data[i + 1].re;
y->data[i + 1].im = y->data[i].im - y->data[i + 1].im;
y->data[i].re += temp_re;
y->data[i].im += temp_im;
}
}
iDelta = 2;
iDelta2 = 4;
k = nRowsD4;
iheight = 1 + ((nRowsD4 - 1) << 2);
while (k > 0) {
i = chanStart;
ihi = chanStart + iheight;
while (i < ihi) {
nd2 = i + iDelta;
temp_re = y->data[nd2].re;
temp_im = y->data[nd2].im;
y->data[i + iDelta].re = y->data[i].re - y->data[nd2].re;
y->data[i + iDelta].im = y->data[i].im - y->data[nd2].im;
y->data[i].re += temp_re;
y->data[i].im += temp_im;
i += iDelta2;
}
nd2 = chanStart + 1;
for (ju = k; ju < nRowsD2; ju += k) {
e = costab->data[ju];
twid_im = sintab->data[ju];
i = nd2;
ihi = nd2 + iheight;
while (i < ihi) {
temp_re = e * y->data[i + iDelta].re - twid_im * y->data[i + iDelta]
.im;
temp_im = e * y->data[i + iDelta].im + twid_im * y->data[i + iDelta]
.re;
y->data[i + iDelta].re = y->data[i].re - temp_re;
y->data[i + iDelta].im = y->data[i].im - temp_im;
y->data[i].re += temp_re;
y->data[i].im += temp_im;
i += iDelta2;
}
nd2++;
}
k /= 2;
iDelta = iDelta2;
iDelta2 <<= 1;
iheight -= iDelta;
}
}
emxFree_real_T(&sintab);
emxFree_real_T(&costab);
if (y->size[0] > 1) {
e = 1.0 / (real_T)y->size[0];
ju = y->size[0];
emxEnsureCapacity((emxArray__common *)y, ju, (int32_T)sizeof(creal_T));
nd2 = y->size[0];
for (ju = 0; ju < nd2; ju++) {
y->data[ju].re *= e;
y->data[ju].im *= e;
}
}
}
}
/* End of code generation (ifft.c) */
Thanks, Tang Laoya
