Merge pull request #43 from arfon/patch-1

JOSS fixes
cokelaer · Oct 25, 2017 · 19905c5 · 19905c5
2 parents 1baa329 + 9f1f086
commit 19905c5
Show file tree

Hide file tree

Showing 2 changed files with 9 additions and 16 deletions.
diff --git a/doc/joss/paper.bib b/doc/joss/paper.bib
@@ -1,4 +1,3 @@
-
 @book{marple:1987,
   address = {Australia, Sydney},
   author = {Marple, S. L.},
@@ -35,7 +34,7 @@ @article{welch:1967
   volume = 15,
   number = 2,
   pages = {70--73},
-  title = {The use of fast Fourier transform for the estimation of power spectra: a method based on time averaging over short, modified periodograms}
+  title = {The use of fast Fourier transform for the estimation of power spectra: a method based on time averaging over short, modified periodograms},
   year = 1967
   }
 
@@ -53,7 +52,7 @@ @article{matplotlib:2007
 title = {Matplotlib: A 2D Graphics Environment},
 year = {2007},
 journal= {Computing in Science \& Engineering},
-volume = {9}
+volume = {9},
 pages = {90-95},
 doi = {DOI:10.1109/MCSE.2007.55}
 }
@@ -67,8 +66,3 @@ @article{numpy:2011
 year = {2011},
 doi = {DOI:10.1109/MCSE.2011.37}
 }
-
-
-
-
-
diff --git a/doc/joss/paper.md b/doc/joss/paper.md
@@ -1,5 +1,5 @@
 ---
-title: 'Spectrum': Spectral Analysis in Python
+title: "'Spectrum': Spectral Analysis in Python"
 tags:
   - spectral analysis
   - periodogram
@@ -16,24 +16,23 @@ authors:
  - name: Juergen Hasch
    orcid: 0000-0002-9457-1220
    affiliation: 2
- affiliations:
- - name: Institut Pasteur - Bioinformatics and Biostatistics Hub - C3BI, USR 3756 IP
-CNRS - Paris, France
+affiliations:
+ - name: Institut Pasteur - Bioinformatics and Biostatistics Hub - C3BI, USR 3756 IP CNRS - Paris, France
    index: 1
- - name:  Robert Bosch GmbH: Renningen, Baden-Württemberg, Germany
+ - name: "Robert Bosch GmbH: Renningen, Baden-Württemberg, Germany"
    index: 2
 date: 2 August 2017
 bibliography: paper.bib
 ---
 
 # Summary
 
-**Spectrum** is a Python library that includes tools to estimate Power Spectral Densities. Although the use of 
+**Spectrum** is a Python library that includes tools to estimate Power Spectral Densities. Although the use of
 power spectrum of a signal is fundamental in electrical engineering (e.g. radio communications, radar), it has
-a wide range of applications from cosmology (e.g., detection of gravitational waves in 2016), to music 
+a wide range of applications from cosmology (e.g., detection of gravitational waves in 2016), to music
 (pattern detection) or biology (mass spectroscopy).
 
-Methods available are based on Fourier transform, parametric methods or eigenvalues analysis. Although standard methods such as 
+Methods available are based on Fourier transform, parametric methods or eigenvalues analysis. Although standard methods such as
 periodogram are available, less common methods (e.g. multitapering) are also implemented:
 
 - The Fourier methods are based upon correlogram, periodogram and Welch estimates. Standard tapering windows (Hann, Hamming, Blackman) and more exotic ones are available (DPSS, Taylor, ...)[harris:1978],[welch:1967],[marple:1987].