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
Signal processing operators
Orthonormal bases and multi-base dictionaries
Random compressive sensing operators
cr.sparse.lop.gaussian_dict
cr.sparse.lop.rademacher_dict
cr.sparse.lop.random_onb_dict
cr.sparse.lop.random_orthonormal_rows_dict
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.random_orthonormal_rows_dict
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cr.sparse.lop.random_orthonormal_rows_dict
¶
cr.sparse.lop.
random_orthonormal_rows_dict
(
key
,
m
,
n
)
[source]
¶
An operator whose rows are orthonormal (sampled from a random orthonormal basis)
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v: v0.1.6
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