mirror of
https://github.com/jhshi/openofdm.git
synced 2024-12-30 10:39:11 +00:00
51 lines
1.2 KiB
Python
51 lines
1.2 KiB
Python
|
#!/usr/bin/env python
|
||
|
|
||
|
"""
|
||
|
Generate atan Look Up Table (LUT)
|
||
|
|
||
|
Key = math.tan(phase)*SIZE -- phase \in [0, math.pi/4)
|
||
|
Value = int(math.atan(phase)*SIZE*2)
|
||
|
|
||
|
SIZE is LUT size. The value is scaled up by SIZE*2 so that adjacent LUT values
|
||
|
can be distinguished.
|
||
|
"""
|
||
|
|
||
|
SIZE = 2**8
|
||
|
SCALE = 512
|
||
|
|
||
|
import argparse
|
||
|
import math
|
||
|
import os
|
||
|
|
||
|
|
||
|
def main():
|
||
|
parser = argparse.ArgumentParser()
|
||
|
parser.add_argument('--out')
|
||
|
args = parser.parse_args()
|
||
|
|
||
|
if args.out is None:
|
||
|
args.out = os.path.join(os.getcwd(), 'atan_lut.mif')
|
||
|
coe_out = '%s.coe' % (os.path.splitext(args.out)[0])
|
||
|
|
||
|
data = []
|
||
|
with open(args.out, 'w') as f:
|
||
|
for i in range(SIZE):
|
||
|
key = float(i)/SIZE
|
||
|
val = int(round(math.atan(key)*SCALE))
|
||
|
data.append(val)
|
||
|
print '%f -> %d' % (key, val)
|
||
|
f.write('{0:09b}\n'.format(val))
|
||
|
print "LUT SIZE %d, SCALE %d" % (SIZE, SCALE)
|
||
|
print "MIL file saved as %s" % (args.out)
|
||
|
|
||
|
with open(coe_out, 'w') as f:
|
||
|
f.write('memory_initialization_radix=2;\n')
|
||
|
f.write('memory_initialization_vector=\n')
|
||
|
f.write(',\n'.join(['{0:09b}'.format(l) for l in data]))
|
||
|
f.write(';')
|
||
|
print "COE file saved as %s" % (coe_out)
|
||
|
|
||
|
|
||
|
if __name__ == '__main__':
|
||
|
main()
|