gen_dct_mat.py.svn-base
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#!/usr/bin/python -u
# ./gen_dct_mat.py
# script generates matrix with DCT transform
#
# author: Karel Vesely
#
from math import *
import sys
from optparse import OptionParser
parser = OptionParser()
parser.add_option('--fea-dim', dest='dim', help='feature dimension')
parser.add_option('--splice', dest='splice', help='applied splice value')
parser.add_option('--dct-basis', dest='dct_basis', help='number of DCT basis')
(options, args) = parser.parse_args()
if(options.dim == None):
parser.print_help()
sys.exit(1)
dim=int(options.dim)
splice=int(options.splice)
dct_basis=int(options.dct_basis)
timeContext=2*splice+1
#generate the DCT matrix
M_PI = 3.1415926535897932384626433832795
M_SQRT2 = 1.4142135623730950488016887
#generate small DCT matrix
print '['
for k in range(dct_basis):
for m in range(dim):
for n in range(timeContext):
if(n==0):
print m*'0 ',
else:
print (dim-1)*'0 ',
print str(sqrt(2.0/timeContext)*cos(M_PI/timeContext*k*(n+0.5))),
if(n==timeContext-1):
print (dim-m-1)*'0 ',
print
print
print ']'