CR.Sparse
v0.1.5
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
cr.sparse.lop.running_average
cr.sparse.lop.fir_filter
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
Evaluation Framework
Linear Algebra Subroutines
Examples Gallery
Benchmarks
Acronyms
References
CR.Sparse
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CR.Sparse API Documentation
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Linear Operators
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cr.sparse.lop.fir_filter
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cr.sparse.lop.fir_filter
¶
cr.sparse.lop.
fir_filter
(
n
,
h
)
[source]
¶
Implements an FIR filter defined by coeffs
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