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Multi Channel Analyzer

Graph based signal processing tool. Data is being passed between blocks via inputs and outputs in a block diagram. Allows sequential and parallel execution of various processing steps in a easy and trivial manner.

docs/figures/mca_gui.png

Features

  • Loading and saving block structure
  • Graphical User Interface (PySide6)
    • Easy editing of blocks
    • Language Support
  • Audio Support
  • Support for Handyscope oscilloscope devices (HS3, HS5)

Installation

Stable release

You can download stand-alone executables from GitHub releases. They include a bundled Python version, thus no further installations are necessary.

If Python3.7 or greater is available on your system, you can also install the Multi Channel Analyzer with pip:

pip install git+https://github.com/emtpb/mca.git

This will always install the most recent stable release.

If you don't have pip installed, this Python installation guide can guide you through the process. Note that on systems that still use legacy Python as the default, you will have to use pip3 instead of pip.

Under Linux you need to install the PortAudio library which can be done via package manager:

sudo apt-get install libportaudio2

From sources

The sources for Multi Channel Analyzer can be downloaded from the Github repo.

You can either clone the public repository:

git clone git://github.com/emtpb/mca

Or download the tarball:

curl -OL https://github.com/emtpb/mca/tarball/master

Once you have a copy of the source, you can install it with:

python setup.py install

Usage

Most users will just start the GUI by launching the installed executable.

If installed via pip, call

mca

from the command line (if you have added your python scripts path to your PATH).

About

An easy-to-use graphical software to learn signal analysis methods

Resources

Readme
License
Activity
Custom properties

Stars

6 stars

Watchers

1 watching

Forks

2 forks
Report repository

Releases

Packages

Used by

Contributors

Languages

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GitHub - emtpb/mca: An easy-to-use graphical software to learn signal analysis methods · GitHub
Skip to content
BranchesTags
Repository files navigation
Multi Channel Analyzer
Graph based signal processing tool. Data is being passed between
blocks via inputs and outputs in a block diagram.
Allows sequential and parallel execution of various processing steps in a
easy and trivial manner.
docs/figures/mca_gui.png
Features
  • Loading and saving block structure
  • Graphical User Interface (PySide6)
    • Easy editing of blocks
    • Language Support
  • Audio Support
  • Support for Handyscope oscilloscope devices (HS3, HS5)
Installation
Stable release
You can download stand-alone executables from GitHub releases.
They include a bundled Python version, thus no further installations are
necessary.
If Python3.7 or greater is available on your system, you can also install the Multi Channel
Analyzer with pip:
pip install git+https://github.com/emtpb/mca.git
This will always install the most recent stable release.
If you don't have pip installed, this Python installation guide can guide
you through the process.
Note that on systems that still use legacy Python as the default, you will have
to use pip3 instead of pip.
Under Linux you need to install the PortAudio library which can be done via
package manager:
sudo apt-get install libportaudio2
From sources
The sources for Multi Channel Analyzer can be downloaded from the
Github repo.
You can either clone the public repository:
git clone git://github.com/emtpb/mca
Or download the tarball:
curl -OL https://github.com/emtpb/mca/tarball/master
Once you have a copy of the source, you can install it with:
python setup.py install
Usage
Most users will just start the GUI by launching the installed executable.
If installed via pip, call
mca
from the command line (if you have added your python scripts path to your
PATH).
About
An easy-to-use graphical software to learn signal analysis methods
Resources
Readme
License
Activity
Custom properties
Stars
6 stars
Watchers
1 watching
Forks
2 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

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GitHub - emtpb/mca: An easy-to-use graphical software to learn signal analysis methods · GitHub
Skip to content
BranchesTags
Repository files navigation
Multi Channel Analyzer
Graph based signal processing tool. Data is being passed between
blocks via inputs and outputs in a block diagram.
Allows sequential and parallel execution of various processing steps in a
easy and trivial manner.
docs/figures/mca_gui.png
Features
  • Loading and saving block structure
  • Graphical User Interface (PySide6)
    • Easy editing of blocks
    • Language Support
  • Audio Support
  • Support for Handyscope oscilloscope devices (HS3, HS5)
Installation
Stable release
You can download stand-alone executables from GitHub releases.
They include a bundled Python version, thus no further installations are
necessary.
If Python3.7 or greater is available on your system, you can also install the Multi Channel
Analyzer with pip:
pip install git+https://github.com/emtpb/mca.git
This will always install the most recent stable release.
If you don't have pip installed, this Python installation guide can guide
you through the process.
Note that on systems that still use legacy Python as the default, you will have
to use pip3 instead of pip.
Under Linux you need to install the PortAudio library which can be done via
package manager:
sudo apt-get install libportaudio2
From sources
The sources for Multi Channel Analyzer can be downloaded from the
Github repo.
You can either clone the public repository:
git clone git://github.com/emtpb/mca
Or download the tarball:
curl -OL https://github.com/emtpb/mca/tarball/master
Once you have a copy of the source, you can install it with:
python setup.py install
Usage
Most users will just start the GUI by launching the installed executable.
If installed via pip, call
mca
from the command line (if you have added your python scripts path to your
PATH).
About
An easy-to-use graphical software to learn signal analysis methods
Resources
Readme
License
Activity
Custom properties
Stars
6 stars
Watchers
1 watching
Forks
2 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

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var __re = new RegExp('^' + ".*" + '
GitHub - emtpb/mca: An easy-to-use graphical software to learn signal analysis methods · GitHub
Skip to content
BranchesTags
Repository files navigation
Multi Channel Analyzer
Graph based signal processing tool. Data is being passed between
blocks via inputs and outputs in a block diagram.
Allows sequential and parallel execution of various processing steps in a
easy and trivial manner.
docs/figures/mca_gui.png
Features
  • Loading and saving block structure
  • Graphical User Interface (PySide6)
    • Easy editing of blocks
    • Language Support
  • Audio Support
  • Support for Handyscope oscilloscope devices (HS3, HS5)
Installation
Stable release
You can download stand-alone executables from GitHub releases.
They include a bundled Python version, thus no further installations are
necessary.
If Python3.7 or greater is available on your system, you can also install the Multi Channel
Analyzer with pip:
pip install git+https://github.com/emtpb/mca.git
This will always install the most recent stable release.
If you don't have pip installed, this Python installation guide can guide
you through the process.
Note that on systems that still use legacy Python as the default, you will have
to use pip3 instead of pip.
Under Linux you need to install the PortAudio library which can be done via
package manager:
sudo apt-get install libportaudio2
From sources
The sources for Multi Channel Analyzer can be downloaded from the
Github repo.
You can either clone the public repository:
git clone git://github.com/emtpb/mca
Or download the tarball:
curl -OL https://github.com/emtpb/mca/tarball/master
Once you have a copy of the source, you can install it with:
python setup.py install
Usage
Most users will just start the GUI by launching the installed executable.
If installed via pip, call
mca
from the command line (if you have added your python scripts path to your
PATH).
About
An easy-to-use graphical software to learn signal analysis methods
Resources
Readme
License
Activity
Custom properties
Stars
6 stars
Watchers
1 watching
Forks
2 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
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var __re = new RegExp('^' + "youtube\\.com" + '
GitHub - emtpb/mca: An easy-to-use graphical software to learn signal analysis methods · GitHub
Skip to content
BranchesTags
Repository files navigation
Multi Channel Analyzer
Graph based signal processing tool. Data is being passed between
blocks via inputs and outputs in a block diagram.
Allows sequential and parallel execution of various processing steps in a
easy and trivial manner.
docs/figures/mca_gui.png
Features
  • Loading and saving block structure
  • Graphical User Interface (PySide6)
    • Easy editing of blocks
    • Language Support
  • Audio Support
  • Support for Handyscope oscilloscope devices (HS3, HS5)
Installation
Stable release
You can download stand-alone executables from GitHub releases.
They include a bundled Python version, thus no further installations are
necessary.
If Python3.7 or greater is available on your system, you can also install the Multi Channel
Analyzer with pip:
pip install git+https://github.com/emtpb/mca.git
This will always install the most recent stable release.
If you don't have pip installed, this Python installation guide can guide
you through the process.
Note that on systems that still use legacy Python as the default, you will have
to use pip3 instead of pip.
Under Linux you need to install the PortAudio library which can be done via
package manager:
sudo apt-get install libportaudio2
From sources
The sources for Multi Channel Analyzer can be downloaded from the
Github repo.
You can either clone the public repository:
git clone git://github.com/emtpb/mca
Or download the tarball:
curl -OL https://github.com/emtpb/mca/tarball/master
Once you have a copy of the source, you can install it with:
python setup.py install
Usage
Most users will just start the GUI by launching the installed executable.
If installed via pip, call
mca
from the command line (if you have added your python scripts path to your
PATH).
About
An easy-to-use graphical software to learn signal analysis methods
Resources
Readme
License
Activity
Custom properties
Stars
6 stars
Watchers
1 watching
Forks
2 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
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(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - emtpb/mca: An easy-to-use graphical software to learn signal analysis methods · GitHub
Skip to content
BranchesTags
Repository files navigation
Multi Channel Analyzer
Graph based signal processing tool. Data is being passed between
blocks via inputs and outputs in a block diagram.
Allows sequential and parallel execution of various processing steps in a
easy and trivial manner.
docs/figures/mca_gui.png
Features
  • Loading and saving block structure
  • Graphical User Interface (PySide6)
    • Easy editing of blocks
    • Language Support
  • Audio Support
  • Support for Handyscope oscilloscope devices (HS3, HS5)
Installation
Stable release
You can download stand-alone executables from GitHub releases.
They include a bundled Python version, thus no further installations are
necessary.
If Python3.7 or greater is available on your system, you can also install the Multi Channel
Analyzer with pip:
pip install git+https://github.com/emtpb/mca.git
This will always install the most recent stable release.
If you don't have pip installed, this Python installation guide can guide
you through the process.
Note that on systems that still use legacy Python as the default, you will have
to use pip3 instead of pip.
Under Linux you need to install the PortAudio library which can be done via
package manager:
sudo apt-get install libportaudio2
From sources
The sources for Multi Channel Analyzer can be downloaded from the
Github repo.
You can either clone the public repository:
git clone git://github.com/emtpb/mca
Or download the tarball:
curl -OL https://github.com/emtpb/mca/tarball/master
Once you have a copy of the source, you can install it with:
python setup.py install
Usage
Most users will just start the GUI by launching the installed executable.
If installed via pip, call
mca
from the command line (if you have added your python scripts path to your
PATH).
About
An easy-to-use graphical software to learn signal analysis methods
Resources
Readme
License
Activity
Custom properties
Stars
6 stars
Watchers
1 watching
Forks
2 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
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(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - emtpb/mca: An easy-to-use graphical software to learn signal analysis methods · GitHub
Skip to content
BranchesTags
Repository files navigation
Multi Channel Analyzer
Graph based signal processing tool. Data is being passed between
blocks via inputs and outputs in a block diagram.
Allows sequential and parallel execution of various processing steps in a
easy and trivial manner.
docs/figures/mca_gui.png
Features
  • Loading and saving block structure
  • Graphical User Interface (PySide6)
    • Easy editing of blocks
    • Language Support
  • Audio Support
  • Support for Handyscope oscilloscope devices (HS3, HS5)
Installation
Stable release
You can download stand-alone executables from GitHub releases.
They include a bundled Python version, thus no further installations are
necessary.
If Python3.7 or greater is available on your system, you can also install the Multi Channel
Analyzer with pip:
pip install git+https://github.com/emtpb/mca.git
This will always install the most recent stable release.
If you don't have pip installed, this Python installation guide can guide
you through the process.
Note that on systems that still use legacy Python as the default, you will have
to use pip3 instead of pip.
Under Linux you need to install the PortAudio library which can be done via
package manager:
sudo apt-get install libportaudio2
From sources
The sources for Multi Channel Analyzer can be downloaded from the
Github repo.
You can either clone the public repository:
git clone git://github.com/emtpb/mca
Or download the tarball:
curl -OL https://github.com/emtpb/mca/tarball/master
Once you have a copy of the source, you can install it with:
python setup.py install
Usage
Most users will just start the GUI by launching the installed executable.
If installed via pip, call
mca
from the command line (if you have added your python scripts path to your
PATH).
About
An easy-to-use graphical software to learn signal analysis methods
Resources
Readme
License
Activity
Custom properties
Stars
6 stars
Watchers
1 watching
Forks
2 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
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}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();
GitHub - emtpb/mca: An easy-to-use graphical software to learn signal analysis methods · GitHub
Skip to content
BranchesTags
Repository files navigation
Multi Channel Analyzer
Graph based signal processing tool. Data is being passed between
blocks via inputs and outputs in a block diagram.
Allows sequential and parallel execution of various processing steps in a
easy and trivial manner.
docs/figures/mca_gui.png
Features
  • Loading and saving block structure
  • Graphical User Interface (PySide6)
    • Easy editing of blocks
    • Language Support
  • Audio Support
  • Support for Handyscope oscilloscope devices (HS3, HS5)
Installation
Stable release
You can download stand-alone executables from GitHub releases.
They include a bundled Python version, thus no further installations are
necessary.
If Python3.7 or greater is available on your system, you can also install the Multi Channel
Analyzer with pip:
pip install git+https://github.com/emtpb/mca.git
This will always install the most recent stable release.
If you don't have pip installed, this Python installation guide can guide
you through the process.
Note that on systems that still use legacy Python as the default, you will have
to use pip3 instead of pip.
Under Linux you need to install the PortAudio library which can be done via
package manager:
sudo apt-get install libportaudio2
From sources
The sources for Multi Channel Analyzer can be downloaded from the
Github repo.
You can either clone the public repository:
git clone git://github.com/emtpb/mca
Or download the tarball:
curl -OL https://github.com/emtpb/mca/tarball/master
Once you have a copy of the source, you can install it with:
python setup.py install
Usage
Most users will just start the GUI by launching the installed executable.
If installed via pip, call
mca
from the command line (if you have added your python scripts path to your
PATH).
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An easy-to-use graphical software to learn signal analysis methods
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