complex<coeff_t>( 1, -0 ),
complex<coeff_t>( 0.99998118, -0.0061358846 ),
complex<coeff_t>( 0.9999247, -0.012271538 ),
complex<coeff_t>( 0.99983058, -0.01840673 ),
complex<coeff_t>( 0.99969882, -0.024541229 ),
complex<coeff_t>( 0.99952942, -0.030674803 ),
complex<coeff_t>( 0.99932238, -0.036807223 ),
complex<coeff_t>( 0.99907773, -0.042938257 ),
complex<coeff_t>( 0.99879546, -0.049067674 ),
complex<coeff_t>( 0.99847558, -0.055195244 ),
complex<coeff_t>( 0.99811811, -0.061320736 ),
complex<coeff_t>( 0.99772307, -0.06744392 ),
complex<coeff_t>( 0.99729046, -0.073564564 ),
complex<coeff_t>( 0.9968203, -0.079682438 ),
complex<coeff_t>( 0.99631261, -0.085797312 ),
complex<coeff_t>( 0.99576741, -0.091908956 ),
complex<coeff_t>( 0.99518473, -0.09801714 ),
complex<coeff_t>( 0.99456457, -0.10412163 ),
complex<coeff_t>( 0.99390697, -0.11022221 ),
complex<coeff_t>( 0.99321195, -0.11631863 ),
complex<coeff_t>( 0.99247953, -0.12241068 ),
complex<coeff_t>( 0.99170975, -0.12849811 ),
complex<coeff_t>( 0.99090264, -0.13458071 ),
complex<coeff_t>( 0.99005821, -0.14065824 ),
complex<coeff_t>( 0.98917651, -0.14673047 ),
complex<coeff_t>( 0.98825757, -0.15279719 ),
complex<coeff_t>( 0.98730142, -0.15885814 ),
complex<coeff_t>( 0.9863081, -0.16491312 ),
complex<coeff_t>( 0.98527764, -0.17096189 ),
complex<coeff_t>( 0.98421009, -0.17700422 ),
complex<coeff_t>( 0.98310549, -0.18303989 ),
complex<coeff_t>( 0.98196387, -0.18906866 ),
complex<coeff_t>( 0.98078528, -0.19509032 ),
complex<coeff_t>( 0.97956977, -0.20110463 ),
complex<coeff_t>( 0.97831737, -0.20711138 ),
complex<coeff_t>( 0.97702814, -0.21311032 ),
complex<coeff_t>( 0.97570213, -0.21910124 ),
complex<coeff_t>( 0.97433938, -0.22508391 ),
complex<coeff_t>( 0.97293995, -0.23105811 ),
complex<coeff_t>( 0.97150389, -0.23702361 ),
complex<coeff_t>( 0.97003125, -0.24298018 ),
complex<coeff_t>( 0.96852209, -0.24892761 ),
complex<coeff_t>( 0.96697647, -0.25486566 ),
complex<coeff_t>( 0.96539444, -0.26079412 ),
complex<coeff_t>( 0.96377607, -0.26671276 ),
complex<coeff_t>( 0.9621214, -0.27262136 ),
complex<coeff_t>( 0.96043052, -0.27851969 ),
complex<coeff_t>( 0.95870347, -0.28440754 ),
complex<coeff_t>( 0.95694034, -0.29028468 ),
complex<coeff_t>( 0.95514117, -0.29615089 ),
complex<coeff_t>( 0.95330604, -0.30200595 ),
complex<coeff_t>( 0.95143502, -0.30784964 ),
complex<coeff_t>( 0.94952818, -0.31368174 ),
complex<coeff_t>( 0.94758559, -0.31950203 ),
complex<coeff_t>( 0.94560733, -0.32531029 ),
complex<coeff_t>( 0.94359346, -0.33110631 ),
complex<coeff_t>( 0.94154407, -0.33688985 ),
complex<coeff_t>( 0.93945922, -0.34266072 ),
complex<coeff_t>( 0.93733901, -0.34841868 ),
complex<coeff_t>( 0.93518351, -0.35416353 ),
complex<coeff_t>( 0.9329928, -0.35989504 ),
complex<coeff_t>( 0.93076696, -0.365613 ),
complex<coeff_t>( 0.92850608, -0.37131719 ),
complex<coeff_t>( 0.92621024, -0.37700741 ),
complex<coeff_t>( 0.92387953, -0.38268343 ),
complex<coeff_t>( 0.92151404, -0.38834505 ),
complex<coeff_t>( 0.91911385, -0.39399204 ),
complex<coeff_t>( 0.91667906, -0.3996242 ),
complex<coeff_t>( 0.91420976, -0.40524131 ),
complex<coeff_t>( 0.91170603, -0.41084317 ),
complex<coeff_t>( 0.90916798, -0.41642956 ),
complex<coeff_t>( 0.9065957, -0.42200027 ),
complex<coeff_t>( 0.90398929, -0.42755509 ),
complex<coeff_t>( 0.90134885, -0.43309382 ),
complex<coeff_t>( 0.89867447, -0.43861624 ),
complex<coeff_t>( 0.89596625, -0.44412214 ),
complex<coeff_t>( 0.8932243, -0.44961133 ),
complex<coeff_t>( 0.89044872, -0.45508359 ),
complex<coeff_t>( 0.88763962, -0.46053871 ),
complex<coeff_t>( 0.8847971, -0.4659765 ),
complex<coeff_t>( 0.88192126, -0.47139674 ),
complex<coeff_t>( 0.87901223, -0.47679923 ),
complex<coeff_t>( 0.87607009, -0.48218377 ),
complex<coeff_t>( 0.87309498, -0.48755016 ),
complex<coeff_t>( 0.87008699, -0.49289819 ),
complex<coeff_t>( 0.86704625, -0.49822767 ),
complex<coeff_t>( 0.86397286, -0.50353838 ),
complex<coeff_t>( 0.86086694, -0.50883014 ),
complex<coeff_t>( 0.85772861, -0.51410274 ),
complex<coeff_t>( 0.85455799, -0.51935599 ),
complex<coeff_t>( 0.85135519, -0.52458968 ),
complex<coeff_t>( 0.84812034, -0.52980362 ),
complex<coeff_t>( 0.84485357, -0.53499762 ),
complex<coeff_t>( 0.84155498, -0.54017147 ),
complex<coeff_t>( 0.83822471, -0.54532499 ),
complex<coeff_t>( 0.83486287, -0.55045797 ),
complex<coeff_t>( 0.83146961, -0.55557023 ),
complex<coeff_t>( 0.82804505, -0.56066158 ),
complex<coeff_t>( 0.8245893, -0.56573181 ),
complex<coeff_t>( 0.82110251, -0.57078075 ),
complex<coeff_t>( 0.81758481, -0.57580819 ),
complex<coeff_t>( 0.81403633, -0.58081396 ),
complex<coeff_t>( 0.8104572, -0.58579786 ),
complex<coeff_t>( 0.80684755, -0.5907597 ),
complex<coeff_t>( 0.80320753, -0.5956993 ),
complex<coeff_t>( 0.79953727, -0.60061648 ),
complex<coeff_t>( 0.7958369, -0.60551104 ),
complex<coeff_t>( 0.79210658, -0.61038281 ),
complex<coeff_t>( 0.78834643, -0.61523159 ),
complex<coeff_t>( 0.7845566, -0.62005721 ),
complex<coeff_t>( 0.78073723, -0.62485949 ),
complex<coeff_t>( 0.77688847, -0.62963824 ),
complex<coeff_t>( 0.77301045, -0.63439328 ),
complex<coeff_t>( 0.76910334, -0.63912444 ),
complex<coeff_t>( 0.76516727, -0.64383154 ),
complex<coeff_t>( 0.76120239, -0.6485144 ),
complex<coeff_t>( 0.75720885, -0.65317284 ),
complex<coeff_t>( 0.7531868, -0.65780669 ),
complex<coeff_t>( 0.74913639, -0.66241578 ),
complex<coeff_t>( 0.74505779, -0.66699992 ),
complex<coeff_t>( 0.74095113, -0.67155895 ),
complex<coeff_t>( 0.73681657, -0.6760927 ),
complex<coeff_t>( 0.73265427, -0.680601 ),
complex<coeff_t>( 0.72846439, -0.68508367 ),
complex<coeff_t>( 0.72424708, -0.68954054 ),
complex<coeff_t>( 0.72000251, -0.69397146 ),
complex<coeff_t>( 0.71573083, -0.69837625 ),
complex<coeff_t>( 0.7114322, -0.70275474 ),
complex<coeff_t>( 0.70710678, -0.70710678 ),
complex<coeff_t>( 0.70275474, -0.7114322 ),
complex<coeff_t>( 0.69837625, -0.71573083 ),
complex<coeff_t>( 0.69397146, -0.72000251 ),
complex<coeff_t>( 0.68954054, -0.72424708 ),
complex<coeff_t>( 0.68508367, -0.72846439 ),
complex<coeff_t>( 0.680601, -0.73265427 ),
complex<coeff_t>( 0.6760927, -0.73681657 ),
complex<coeff_t>( 0.67155895, -0.74095113 ),
complex<coeff_t>( 0.66699992, -0.74505779 ),
complex<coeff_t>( 0.66241578, -0.74913639 ),
complex<coeff_t>( 0.65780669, -0.7531868 ),
complex<coeff_t>( 0.65317284, -0.75720885 ),
complex<coeff_t>( 0.6485144, -0.76120239 ),
complex<coeff_t>( 0.64383154, -0.76516727 ),
complex<coeff_t>( 0.63912444, -0.76910334 ),
complex<coeff_t>( 0.63439328, -0.77301045 ),
complex<coeff_t>( 0.62963824, -0.77688847 ),
complex<coeff_t>( 0.62485949, -0.78073723 ),
complex<coeff_t>( 0.62005721, -0.7845566 ),
complex<coeff_t>( 0.61523159, -0.78834643 ),
complex<coeff_t>( 0.61038281, -0.79210658 ),
complex<coeff_t>( 0.60551104, -0.7958369 ),
complex<coeff_t>( 0.60061648, -0.79953727 ),
complex<coeff_t>( 0.5956993, -0.80320753 ),
complex<coeff_t>( 0.5907597, -0.80684755 ),
complex<coeff_t>( 0.58579786, -0.8104572 ),
complex<coeff_t>( 0.58081396, -0.81403633 ),
complex<coeff_t>( 0.57580819, -0.81758481 ),
complex<coeff_t>( 0.57078075, -0.82110251 ),
complex<coeff_t>( 0.56573181, -0.8245893 ),
complex<coeff_t>( 0.56066158, -0.82804505 ),
complex<coeff_t>( 0.55557023, -0.83146961 ),
complex<coeff_t>( 0.55045797, -0.83486287 ),
complex<coeff_t>( 0.54532499, -0.83822471 ),
complex<coeff_t>( 0.54017147, -0.84155498 ),
complex<coeff_t>( 0.53499762, -0.84485357 ),
complex<coeff_t>( 0.52980362, -0.84812034 ),
complex<coeff_t>( 0.52458968, -0.85135519 ),
complex<coeff_t>( 0.51935599, -0.85455799 ),
complex<coeff_t>( 0.51410274, -0.85772861 ),
complex<coeff_t>( 0.50883014, -0.86086694 ),
complex<coeff_t>( 0.50353838, -0.86397286 ),
complex<coeff_t>( 0.49822767, -0.86704625 ),
complex<coeff_t>( 0.49289819, -0.87008699 ),
complex<coeff_t>( 0.48755016, -0.87309498 ),
complex<coeff_t>( 0.48218377, -0.87607009 ),
complex<coeff_t>( 0.47679923, -0.87901223 ),
complex<coeff_t>( 0.47139674, -0.88192126 ),
complex<coeff_t>( 0.4659765, -0.8847971 ),
complex<coeff_t>( 0.46053871, -0.
没有合适的资源?快使用搜索试试~ 我知道了~
vivado hls ug871实验例子
共171个文件
c:49个
h:47个
tcl:21个
需积分: 49 60 下载量 121 浏览量
2016-03-04
15:44:47
上传
评论
收藏 274KB ZIP 举报
温馨提示
vivado hls ug871手册所用到的实验例子(2014.4)
资源推荐
资源详情
资源评论
收起资源包目录
vivado hls ug871实验例子 (171个子文件)
helloworld.c 6KB
zynq_design_test.c 5KB
hamming_window_test.c 4KB
hamming_window_test.c 4KB
fir_test.c 4KB
fir_test.c 4KB
fir_test.c 4KB
hamming_window.c 4KB
hamming_window.c 4KB
axi_interfaces_test.c 3KB
array_io_test.c 3KB
adders_io_test.c 3KB
array_io.c 3KB
axi_interfaces.c 3KB
adders_test.c 3KB
fir.c 3KB
fir.c 3KB
fir.c 3KB
adders.c 3KB
adders_io.c 3KB
hls_macc_test.c 2KB
mixer.c 2KB
mixer.c 2KB
mixer.c 2KB
duc_test.c 2KB
duc_test.c 2KB
duc_test.c 2KB
imf3.c 956B
imf3.c 956B
imf3.c 956B
mac.c 872B
mac.c 872B
mac.c 872B
duc.c 808B
duc.c 808B
duc.c 808B
imf2.c 793B
imf2.c 793B
imf2.c 793B
imf1.c 774B
imf1.c 774B
imf1.c 774B
srrc.c 666B
srrc.c 666B
srrc.c 666B
dds.c 631B
dds.c 631B
dds.c 631B
hls_macc.c 533B
hls_realfft_test.cpp 9KB
hls_realfft_test.cpp 7KB
dct.cpp 5KB
window_fn_test.cpp 4KB
window_fn_test.cpp 4KB
hamming_window_test.cpp 4KB
real2xfft.cpp 4KB
real2xfft.cpp 4KB
matrixmul_test.cpp 4KB
matrixmul_test.cpp 4KB
fir_test.cpp 4KB
matrixmul.cpp 4KB
hamming_window.cpp 4KB
window_fn_top.cpp 3KB
window_fn_top.cpp 3KB
fir.cpp 3KB
matrixmul.cpp 3KB
xfft2real.cpp 3KB
xfft2real.cpp 3KB
dct_test.cpp 821B
realfft_be_tvout.dat 40KB
realfft_fe_tvin.dat 24KB
in.dat 13KB
out.gold.dat 8KB
out.gold.dat 8KB
out.gold.dat 8KB
duc_i.dat 5KB
duc_i.dat 5KB
duc_i.dat 5KB
duc_q.dat 5KB
duc_q.dat 5KB
duc_q.dat 5KB
dds.dat 1KB
dds.dat 1KB
dds.dat 1KB
out.golden.dat 450B
result.golden.dat 313B
result.golden.dat 313B
entries 547B
entries 547B
format 2B
format 2B
xfft2real.h 6KB
reference_fft.h 5KB
reference_fft.h 5KB
window_fn_class.h 5KB
window_fn_class.h 5KB
xfft2real.h 5KB
sliding_win.h 4KB
sliding_win.h 4KB
hls_realfft.h 4KB
共 171 条
- 1
- 2
资源评论
bananalalala
- 粉丝: 0
- 资源: 5
上传资源 快速赚钱
- 我的内容管理 展开
- 我的资源 快来上传第一个资源
- 我的收益 登录查看自己的收益
- 我的积分 登录查看自己的积分
- 我的C币 登录后查看C币余额
- 我的收藏
- 我的下载
- 下载帮助
安全验证
文档复制为VIP权益,开通VIP直接复制
信息提交成功