Interactions at the cellular level are essential for maintaining the fundamental life processes in biological systems. The relationships that are established due to the biochemical reactions occurring within the cells often give rise to extremely complex network structures that may be conveniently represented by bipartite graphs; such networks are often known as biological pathway graphs (BPGs)...

This paper introduces Adaptive System Simulation and Noise Analysis Toolbox (ASSNAT) version 1.1 (v1.1), which is an opensource MATLAB based software package for simulation and analysis of Adaptive signal processing systems and noises, with its new feature Learning curve method, where we can make an advanced level comparative study based analysis. ASSNAT v1.1 contains a variety of adaptive syst...

MvTools, (Multivariable Tools) is a toolbox for Matlab 5.3 developed within the Department of Electrical Systems and Automation (DSEA), University of Pisa, with the aim to offering to the Matlab users (especially control engineers and control engineering students) a complete toolbox for linear systems analysis and robust control synthesis. All the operations are carried out by means of a single...

Time-scale modification (TSM) algorithms have the purpose of stretching or compressing the time-scale of an input audio signal without altering its pitch. Such tools are frequently used in scenarios like music production or music remixing. There exists a large variety of different algorithmic approaches to TSM, all of them having their very own advantages and drawbacks. In this paper, we presen...

The demand for new telecommunication services requiring higher capacities, data rates and different operating modes have motivated the development of new generation multi-standard wireless transceivers. A multi-standard design often involves extensive system level analysis and architectural partitioning, typically requiring extensive calculations. In this research, a decimation filter design to...

Assessing directed functional connectivity from time series data is a key challenge in neuroscience. One approach to this problem leverages a combination of Granger causality analysis and network theory. This article describes a freely available MATLAB toolbox--'Granger causal connectivity analysis' (GCCA)--which provides a core set of methods for performing this analysis on a variety of neuros...