NSB Entropy Estimation software can estimate entropy and other information-theoretic measures from undersampled discrete data. It is a useful tool for analyzing complex datasets and making predictions in various fields of research.
NSB Entropy Estimation is a software dedicated to the implementation and practical use of the NSB algorithm for estimating entropy and similar information-theoretic quantities from undersampled discrete data. The software offers two different implementations of this method - MatLab/Octave and C++.
The MatLab/Octave implementation, which is cross-platform compatible, offers basic functionality, but is not actively being developed anymore. This is due to the software's slow speed, as well as the inability of Octave and MatLab to index discrete structures with cardinalities greater than 2^32. This limitation hinders the software's usability in linguistics or neuroscience applications.
On the other hand, the C++ implementation is faster and currently being developed. The software offers all the latest enhancements and can efficiently handle complicated data files. However, users will need to compile the code and install additional software libraries (GSL and GMP), both available under the GPL license.
To use NSB Entropy Estimation, users must have certain requirements. These include gsl, gmp, octave, gnuplot, and gcc 3.3. Overall, NSB Entropy Estimation is an excellent tool for anyone who needs to estimate entropy from undersampled discrete data reliably.
The MatLab/Octave implementation, which is cross-platform compatible, offers basic functionality, but is not actively being developed anymore. This is due to the software's slow speed, as well as the inability of Octave and MatLab to index discrete structures with cardinalities greater than 2^32. This limitation hinders the software's usability in linguistics or neuroscience applications.
On the other hand, the C++ implementation is faster and currently being developed. The software offers all the latest enhancements and can efficiently handle complicated data files. However, users will need to compile the code and install additional software libraries (GSL and GMP), both available under the GPL license.
To use NSB Entropy Estimation, users must have certain requirements. These include gsl, gmp, octave, gnuplot, and gcc 3.3. Overall, NSB Entropy Estimation is an excellent tool for anyone who needs to estimate entropy from undersampled discrete data reliably.
What's New
Version 1.1: N/A