About:
pySPACE is the abbreviation for "Signal Processing and Classification Environment in Python using YAML and supporting parallelization".
It is a modular software for processing of large data streams that has been specifically designed to enable distributed execution and empirical evaluation of signal processing chains. Various signal processing algorithms (so called nodes) are available within the software, from finite impulse response filters over data-dependent spatial filters (e.g. CSP, xDAWN) to established classifiers (e.g. SVM, LDA). pySPACE incorporates the concept of node and node chains of the MDP framework. Due to its modular architecture, the software can easily be extended with new processing nodes and more general operations. Large scale empirical investigations can be configured using simple text- configuration files in the YAML format, executed on different (distributed) computing modalities, and evaluated using an interactive graphical user interface.
Changes:
improved testing, improved documentation, windows compatibility, more algorithms
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- Operating System:
Linux,
Windows,
Mac Os X
- Data Formats:
Arff,
Brainamp,
Csv,
Numpy,
Edf
- Tags:
Brain Computer Interface,
Classification,
Preprocessing,
Parallel,
Machine Learning,
Signal Processing,
Prediction,
Time Series Analysis,
Parameter Optimization,
Metrics,
Benchmarking
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