class pylops.signalprocessing.ChirpRadon3D(taxis, hyaxis, hxaxis, pmax, engine='numpy', dtype='float64', name='C', **kwargs_fftw)[source]#

Apply Radon forward (and adjoint) transform using Fast Fourier Transform and Chirp functions to a 3-dimensional array of size $$[n_y \times n_x \times n_t]$$ (both in forward and adjoint mode).

Note that forward and adjoint are swapped compared to the time-space implementation in pylops.signalprocessing.Radon3D and a direct inverse method is also available for this implementation.

Parameters
taxisnp.ndarray

Time axis

hxaxisnp.ndarray

Fast patial axis

hyaxisnp.ndarray

Slow spatial axis

pmaxnp.ndarray

Two element array $$(p_{y,\text{max}}, p_{x,\text{max}})$$ of $$\tan$$ of maximum stacking angles in $$y$$ and $$x$$ directions $$(\tan(\alpha_{y,\text{max}}), \tan(\alpha_{x,\text{max}}))$$. If one operates in terms of minimum velocity $$c_0$$, then $$p_{y,\text{max}}=c_0\,\mathrm{d}y/\mathrm{d}t$$ and $$p_{x,\text{max}}=c_0\,\mathrm{d}x/\mathrm{d}t$$

enginestr, optional

Engine used for fft computation (numpy or fftw)

dtypestr, optional

Type of elements in input array.

namestr, optional

New in version 2.0.0.

Name of operator (to be used by pylops.utils.describe.describe)

**kwargs_fftw

Notes

Refer to [1] for the theoretical and implementation details.

1

Andersson, F and Robertsson J. “Fast $$\tau-p$$ transforms by chirp modulation”, Geophysics, vol 84, NO.1, pp. A13-A17, 2019.

Attributes
shapetuple

Operator shape

explicitbool

Operator contains a matrix that can be solved explicitly (True) or not (False)

Methods

 __init__(taxis, hyaxis, hxaxis, pmax[, ...]) adjoint() apply_columns(cols) Apply subset of columns of operator cond([uselobpcg]) Condition number of linear operator. conj() Complex conjugate operator div(y[, niter, densesolver]) Solve the linear problem $$\mathbf{y}=\mathbf{A}\mathbf{x}$$. dot(x) Matrix-matrix or matrix-vector multiplication. eigs([neigs, symmetric, niter, uselobpcg]) Most significant eigenvalues of linear operator. inverse(x) matmat(X) Matrix-matrix multiplication. matvec(x) Matrix-vector multiplication. reset_count() Reset counters rmatmat(X) Matrix-matrix multiplication. rmatvec(x) Adjoint matrix-vector multiplication. todense([backend]) Return dense matrix. toimag([forw, adj]) Imag operator toreal([forw, adj]) Real operator tosparse() Return sparse matrix. trace([neval, method, backend]) Trace of linear operator. transpose()