jro_soft/compressed_sensing Commit - r25:26

Implementation of voltages simulation for estimating correlations (some things need to be fixed)

yamaro -

r25:26

parent child

trunk/src/src/RICS_paper_compare_noise.py +1 0

             import time
             import matplotlib.pyplot as plt
             from scipy.optimize import root
+            from scipy.optimize import newton_krylov
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             from scipy.stats import nanmean
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             from y_hysell96 import *

trunk/src/src/dualfilt1.py +1 -1

                 # WAVELET SOFTWARE AT POLYTECHNIC UNIVERSITY, BROOKLYN, NY
                 # http://taco.poly.edu/WaveletSoftware/
                 # These coefficients are rounded to 8 decimal places.
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-                # These cofficients are rounded to 8 decimal places.
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                 a1 = np.array([
                   [ 0.03516384000000,                  0],

trunk/src/src/irls_dn2.py +1 -1

                     fid = norm(np.dot(A,u)-b)**2;
                     print 'lambda = %2e \t' % lambda1, '||A*u-b||^2 = %.1f' % fid;
                 # Refinement using brentq (equiv to fzero in matlab)
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-                # Refinement using fzero/ brentq
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                 lambda0 = np.array([lambda1,lambda1*alpha]);    # interval with zero-crossing
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                 def myfun(lambda1):

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