CR.Sparse
v0.1.6
Contents:
Introduction
Tutorials
Getting Started
Fourier and Wavelet Representations
CR.Sparse API Documentation
Digital Signal Processing
Wavelets
Sparsifying Dictionaries and Sensing Matrices
Linear Operators
Greedy Sparse Recovery/Approximation Algorithms
Convex Optimization based Sparse Recovery/Approximation Algorithms
Sample Data Generation Utilities
Utilities in cr.sparse module
Array data type utilities
Metrics for measuring signal and error levels
Some checks and utilities for matrices (2D arrays)
Row wise and column wise norms for signal/representation matrices
cr.sparse.norms_l1_cw
cr.sparse.norms_l1_rw
cr.sparse.norms_l2_cw
cr.sparse.norms_l2_rw
cr.sparse.norms_linf_cw
cr.sparse.norms_linf_rw
cr.sparse.sqr_norms_l2_cw
cr.sparse.sqr_norms_l2_rw
cr.sparse.normalize_l1_cw
cr.sparse.normalize_l1_rw
cr.sparse.normalize_l2_cw
cr.sparse.normalize_l2_rw
Sparse representations
Linear Algebra Subroutines
Numerical Optimization Routines
Evaluation Framework
Examples Gallery
Benchmarks
Acronyms
References
CR.Sparse
»
CR.Sparse API Documentation
»
Utilities in cr.sparse module
»
cr.sparse.norms_l1_cw
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cr.sparse.norms_l1_cw
¶
cr.sparse.
norms_l1_cw
(
X
)
[source]
¶
Computes the l_1 norm of each column of a matrix
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v: v0.1.6
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