Clean up and update to julia1.4

.gitlab-ci.yml

-image: julia:1.3                # image comes from Docker hub
+image: julia:1.4                # image comes from Docker hub
 
 before_script:
   - apt-get -qq update; apt-get -y install git hdf5-tools

.travis.yml

@@ -8,6 +8,7 @@ julia:
   - 1.1
   - 1.2
   - 1.3
+  - 1.4
   - nightly
 notifications:
   email: false

Project.toml

@@ -4,7 +4,7 @@ keywords = ["AeroAcoustics"]
 license = "MIT"
 desc = "A package for post-processing of microphone array measurements"
 authors = ["Oliver Lylloff <ollyl@dtu.dk>"]
-version = "0.1.0"
+version = "0.1.1"
 
 [deps]
 DSP = "717857b8-e6f2-59f4-9121-6e50c889abd2"

README.md

@@ -10,8 +10,6 @@ This package provide methods for working with microphone array measurements.
 Centered around frequency-domain beamforming, methods for source localization and
 quantification have been collected here. The package is under active development.
 
-Here is a small [demonstration](https://nbviewer.jupyter.org/urls/gitlab.windenergy.dtu.dk/ollyl/AeroAcoustics.jl/raw/master/examples/Introduction.ipynb) of the current functionality.
-
 Another noteworthy library for microphone array measurements is [Acoular](http://www.acoular.org), written in Python. AeroAcoustics.jl draws inspiration from Acoular but focusses only on the processing of *measurement data*, while Acoular also has functionality for generating simulations.
 
 ## Installation
@@ -23,7 +21,7 @@ pkg> add https://gitlab.windenergy.dtu.dk/ollyl/AeroAcoustics.jl
 ```
 
 ## Contribution
-Contributions are welcome, the roadmap and todos are tracked in the [roadmap meta-issue](https://gitlab.windenergy.dtu.dk/ollyl/AeroAcoustics.jl/issues/1).
+Contributions are welcome!
 
 
 [pipeline-img]: https://gitlab.windenergy.dtu.dk/ollyl/AeroAcoustics.jl/badges/master/pipeline.svg

docs/src/index.md

@@ -7,5 +7,3 @@ The package repository is here: <https://gitlab.windenergy.dtu.dk/ollyl/AeroAcou
 
 Currently this package is under heavy development, and many features are being added in the coming period.
 In future releases, deconvolution of beamforming maps and other techniques for sound field reconstruction will be added.
-
-An introduction to the API and a simple example case can be found in this [notebook](https://nbviewer.jupyter.org/urls/gitlab.windenergy.dtu.dk/ollyl/AeroAcoustics.jl/raw/master/examples/Introduction.ipynb).