Big Data application on signal processing systems

One of the tasks of system identification within the modern signal processing system is the task of identification of unknown error-correction code (ECC). System identification can be done using various methods. Anyway, the more knowledge one has about the possible system structure provides better solution for system identification. Here we take a look into digital communication systems uses ECC, which are the major part of modern communication systems are. We create a new practical approach for identification of a priori unknown ECC being used over the transmission channel of the communication system which is examined for identification purposes. The approach is based as Big Data application which can provide new source for the study. Shown that usage of new approach provides better speed for system identification making the process of identification faster, more reliable, with better quality for solution found and with lower requirements for quality of the transmission channel.