activity
20062016
collaborators

6 papers

cs.LG2016

Correct classification for big/smart/fast data machine learning

Sander Stepanov

Table (database) / Relational database Classification for big/smart/fast data machine learning is one of the most important tasks of predictive analytics and extracting valuable in…

cs.IT2015

Random Pulse Train Spectrum Calculation Unleashed

Sander Stepanov, Anastasios Venetsanopoulos

For the first time the problem of the full solution for the calculation of the power spectrum density of the random pulse train is solved. This well known problem led to a mistaken…

cs.IT2015

Morphological Detector for Multilevel Signals in epsilon-Noise

Sander Stepanov, Anastasios Venetsanopoulos

The novel approach was developed for multilevel signal detection in channels with impulsive non-Gaussian noise. This approach consists of using morphological nonlinear image filtra…

cs.IT2006

Estimation of the traffic in the binary channel for data networks

Sander Stepanov

It is impossible to provide an effective utilization of communication networks without the analysis of the quantitative characteristics of the traffic in real time. The constant su…

cs.IT2006

Theoretical analysis of network cranback protocols performance

Sander Stepanov, Ofer Hadar

Suggested the decision of the network cranback protocols performance analyzing problem from Eyal Felstine, Reuven Cohen and Ofer Hadar, " Crankback Prediction in Hierarchical ATM n…

cs.IT2006

MIMO scheme performance and detection in epsilon noise

Sander Stepanov

New approach for analysis and decoding MIMO signaling is developed for usual model of nongaussion noise consists of background and impulsive noise named epsilon - noise. It is show…