Mercurial > hg > pycsalgos

comparison scripts/ABSapprox.py @ 31:829bf04c92af

Find changesets by keywords (author, files, the commit message), revision number or hash, or revset expression.
Enabled fine step of 0.05 for delta and rho
author nikcleju
date Thu, 10 Nov 2011 22:48:39 +0000
parents 5f46ff51c7ff
children e1da5140c9a5
comparison
equal deleted inserted replaced
30:5f46ff51c7ff 31:829bf04c92af
117 117
118 def standard_params(): 118 def standard_params():
119 #Set up standard experiment parameters 119 #Set up standard experiment parameters
120 d = 50.0; 120 d = 50.0;
121 sigma = 2.0 121 sigma = 2.0
122 #deltas = np.arange(0.05,1.,0.05) 122 deltas = np.arange(0.05,1.,0.05)
123 #rhos = np.arange(0.05,1.,0.05) 123 rhos = np.arange(0.05,1.,0.05)
124 #deltas = np.array([0.05, 0.45, 0.95]) 124 #deltas = np.array([0.05, 0.45, 0.95])
125 #rhos = np.array([0.05, 0.45, 0.95]) 125 #rhos = np.array([0.05, 0.45, 0.95])
126 deltas = np.array([0.05]) 126 #deltas = np.array([0.05])
127 rhos = np.array([0.05]) 127 #rhos = np.array([0.05])
128 #delta = 0.8; 128 #delta = 0.8;
129 #rho = 0.15; 129 #rho = 0.15;
130 numvects = 100; # Number of vectors to generate 130 numvects = 100; # Number of vectors to generate
131 SNRdb = 20.; # This is norm(signal)/norm(noise), so power, not energy 131 SNRdb = 20.; # This is norm(signal)/norm(noise), so power, not energy
132 # Values for lambda 132 # Values for lambda