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
Data types
Basic operators
cr.sparse.lop.identity
cr.sparse.lop.matrix
cr.sparse.lop.diagonal
cr.sparse.lop.zero
cr.sparse.lop.flipud
cr.sparse.lop.sum
cr.sparse.lop.pad_zeros
cr.sparse.lop.symmetrize
cr.sparse.lop.restriction
Signal processing operators
Orthonormal bases and multi-base dictionaries
Random compressive sensing operators
Operators for special matrices
Derivatives (finite differences)
Convenience operators
Operator algebra
Operator parts
Properties of a linear operator
Utilities
Greedy Sparse Recovery/Approximation Algorithms
Convex Optimization based Sparse Recovery/Approximation Algorithms
Sample Data Generation Utilities
Utilities in cr.sparse module
Linear Algebra Subroutines
Numerical Optimization Routines
Evaluation Framework
Examples Gallery
Benchmarks
Acronyms
References
CR.Sparse
»
CR.Sparse API Documentation
»
Linear Operators
»
cr.sparse.lop.matrix
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cr.sparse.lop.matrix
¶
cr.sparse.lop.
matrix
(
A
)
[source]
¶
Converts a two-dimensional matrix to a linear operator
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v: v0.1.6
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