Spectral Analysis & Linear Prediction Toolbox

The SALP-Toolbox can be used for analysis of stationary and nonstationary signals using spectral and parameter estimation schemes.

The SALP-Toolbox has been mainly developed within the framework of the research project ‘Predictive Channel Estimation for Adaptive Transmission Techniques in Mobile
Communications’ at the department of RF-Techniques / Communication Systems of the University of Kassel. This project has been funded by the ‘Deutsche
Forschungsgemeinschaft’ (DFG).

The SALP-Toolbox is intended to provide a uniform platform combining many different tools for analyzing and predicting multi-component time series or signals, respectively. Its application is focused on the field of science, research and education without the purpose of any commercial benefit. It rather appears as a foundation of a basic collection with standard algorithms, which may be validated, improved and extended by all users in the form of an open source project. By this way, future toolbox versions will provide well-tried and tested algorithms, which can be adopted by the researchers to their specific application and hence the toolbox may support scientific progress in an efficient way. In its initial version the toolbox does not claim for completeness, thus every user is requested to provide comments, bug reports or further algorithms to extend this toolbox to a comprehensive tool collection.

The toolbox assembles many classical as well as very advanced algorithms providing a uniform functional interface to support a user-friendly handling. Therefore, some routines, which are already implemented in the MATLAB software, are also included in this toolbox equipped with the unique SALP-Toolbox user-interface.

For more information refer to the SALP-Toolbox manual SALP_Refguide.pdf and the conference contribution td-04-019.pdf which can be found in the ZIP.