In the following it is possible to download some useful source codes.
1. Nonlinear Spine Adaptive Filtering Toolbox
The SAF Toolbox provides a MATLAB implementation of the basic functions of the novel nonlinear Spline Adaptive Filter (SAF), introduced in the recent works of the authors. This kind of adaptive filter derives from the general family of block-oriented nonlinear architectures.
In addition, some scripts implementing a number of demo extracted from the experimental results of the related literature, were provided. The aims of these demo files is to show how the library functions can be used in practical implementations.
2. VirtFogSim
VirtFogSim is a MATLAB-supported software toolbox that allows the dynamic joint optimization and tracking of the energy and delay performance of Mobile-Fog-Cloud systems for the execution of applications described by general Directed Application Graphs (DAGs).
In a nutshell, main peculiar features of the proposed VirtFogSim toolbox are that: (i) it allows the joint dynamic energy-aware optimization of the placement of the application tasks and the allocation of the needed computing-networking resources under hard constraints on the allowed overall execution times; (ii) it allows the repeatable and customizable simulation of the resulting energy-delay performance of the overall system; (iii) it allows the dynamic tracking of the performed resource allocation under time-varying operational environments, as those typically featuring mobile applications; (iv) it is equipped by an user-friendly Graphic User Interface (GUI) that supports a number of graphic formats for data rendering; and, (v) its MATLAB code is optimized for running atop multi-core parallel execution platforms.
DeepFogSim is a MATLAB-supported software toolbox aiming at testing the performance of virtualized technological platforms for the real-time distributed execution of the inference phase of CDNNs with early exits under IoT realms.
In a nutshell, the main peculiar features of the proposed DeepFogSim toolbox are that: (i) it allows the joint dynamic energy-aware optimization of the Fog-hosted computing-networking resources under hard constraints on the tolerated inference delays; (ii) it allows the repeatable and customizable simulation of the resulting energy-delay performance of the overall Fog execution platform; (iii) it allows the dynamic tracking of the performed resource allocation under time-varying operating conditions and/or failure events; (iv) it is equipped with an user-friendly Graphic User Interface (GUI) that supports a number of graphic formats for data rendering.
A script implementing a complex-valued GAN architecture working with the audio spectrogram for an effective audio data augmentation. Specifically, the proposed CoVal-SGAN is used to generate new synthetic spectrogram to augment audio data of the more problematic among the considered class. The augemnted dataset is used for the classification of different equipments on construction sites.