formatierung

fresnel/hankel.py

@@ -7,7 +7,6 @@ import numpy as np
 import scipy.special
 
 
-
 def hankelMatrix(N, n=0):
     """
     Create a N x N matrix for discrete Hankel transfrom (DHT) [1]_ of n-th order.
@@ -18,15 +17,15 @@ def hankelMatrix(N, n=0):
         number of pixels
     n : int, optional
         order of DHT
-       
+
     Returns
     -------
     ndarray
         Hankel matrix
-    
+
     Notes
     -----
-    The Hankel matrix is self-inverse, i.e. 
+    The Hankel matrix is self-inverse, i.e.
     .. math:: YY = \mathbb{1}.
 
     References
@@ -50,7 +49,7 @@ def hankelMatrix(N, n=0):
 def hankelFreq(N, n=0, kmax=0.5):
     """
     Returns the Hankel space (frequency) sampling grid for the inverse DHT
-    
+
     Parameters
     ----------
     N : int
@@ -59,7 +58,7 @@ def hankelFreq(N, n=0, kmax=0.5):
         order of DHT
     kmax : float, optional
         maximum sampling frequency in dimensionless units
-       
+
     Returns
     -------
     array
@@ -74,7 +73,7 @@ def hankelFreq(N, n=0, kmax=0.5):
 def hankelSamples(N, n=0, kmax=0.5):
     """
     Returns the real space sampling grid for the DHT
-  
+
     Parameters
     ----------
     N : int
@@ -84,7 +83,7 @@ def hankelSamples(N, n=0, kmax=0.5):
     kmax : float, optional
         maximum sampling frequency in dimensionless units
 
-       
+
     Returns
     -------
     array