doc: fix minor issues

CHANGELOG.md

@@ -15,6 +15,8 @@
 
 ### documentation
 
+- fixed minor issues in demonstration examples
+
 - fixed pip installation instructions in [README.md](README.md)
 
 ## v1.0.0 (October 16, 2024)

examples/sources_separation/example_tv_multisrc_tam_and_tempo_tubes_3d.py

@@ -78,7 +78,7 @@
 # prepare display
 plt.figure(figsize=(10, 4))
 theta = backend.arctan2(fg[1], fg[0])
-proj_extent = [t.item() for t in (B[0], B[-1], theta[0]*180./math.pi, theta[-1]*180./math.pi)]
+proj_extent = [B[0].item(), B[-1].item(), proj_mixture.shape[0] - 1, 0]
 
 # display reference spectrum of the sample (contains one tube of TAM
 # and one tube of TEMPO)

examples/sources_separation/example_tv_multisrc_tam_insert_in_tempo_3d.py

@@ -80,7 +80,7 @@
 # prepare display
 plt.figure(figsize=(10, 4))
 theta = backend.arctan2(fg[1], fg[0])
-proj_extent = [t.item() for t in (B[0], B[-1], theta[0]*180./math.pi, theta[-1]*180./math.pi)]
+proj_extent = [B[0].item(), B[-1].item(), proj_mixture.shape[0] - 1, 0]
 
 # display reference spectrum of the sample (contains one tube of TAM
 # and one tube of TEMPO)

src/pyepri/processing.py

@@ -297,7 +297,7 @@ def tv_multisrc(proj, B, fgrad, delta, h, lbda, out_shape,
                 eval_energy=False, disable_toeplitz_kernel=False,
                 verbose=False, video=False, Ndisplay=20,
                 displayer=None, eps=1e-6, notest=False):
-    r"""EPR source separation TV-regularized least-squares.
+    r"""EPR source separation using TV-regularized least-squares.
     
     This function implements the multi-sources EPR image
     reconstruction method presented in :cite:p:`Boussaa_2023`. This