/Users/sean/workspace/SLIMpy3/slimpy_base/SLIMmath/CurveRat.py File Reference

Go to the source code of this file.

Namespaces

namespace slimpy_base.SLIMmath.CurveRat

Functions

def curverat

--latex This approach is based on rescaling the weighting vectors ( $w_{1}$ or $w_{2}$ ) in such a way that after the application of the rescaled vectors for soft thresholding a certain percentage (the n relatively largest coefficients) remain in the thresholded vector per scale or globally.

Variables

string __copyright__

string __license__


Namespaces
namespace	slimpy_base.SLIMmath.CurveRat
Functions
def	curverat
	--latex This approach is based on rescaling the weighting vectors ( $w_{1}$ or $w_{2}$ ) in such a way that after the application of the rescaled vectors for soft thresholding a certain percentage (the n relatively largest coefficients) remain in the thresholded vector per scale or globally.
Variables
string	__copyright__
string	__license__