non-negative real number proportional to the amount of denoising
performed. Meta parameter penalizing the residual sum of squares by the L2 norm
of the coefficients. To define a unique minimum L2 norm solution to the
interpolation problem, lambda=0.
OPTIONAL ARGUMENTS:
...
additional argument such as
wavelet or
n.levels used by
analysis.
analysis.name
character string indicating which wavelet transform to use, such as
nd.dwt or
wp.table. For lambda=0, it is assumed that the matrix
corresponding to the transform is full row rank.
cg.max.iter
real number giving the upper bound on the number of iterations to perform by
the conjugate gradient solver.
cg.tol
convergence treshold for the conjugate gradient solver.
verbose
logical flag indicating whether or not information should be printed on the
screen at each interior point interation.
VALUE:
coef.hat
estimated wavelet coefficients. Minimizes the method of frame
objective function, for lambda>0:
and for lambda=0:
subject to s=Wx.
s.hat
real or complex vector of estimated signal.
REFERENCES:
Chen S., Donoho, D.L., and Saunders, M. (1996). Atomic decomposition by basis
pursuit. Technical report, Department of Statistics, Stanford University.