Autocorrelation is a very important part of the statistics. Autocorrelation of a function means the correlation of a function taken to it self where correlation is a matching process. To understand the autocorrelation one may say that in the study of autocorrelation, we study that how would a function behave when a few of its parameters are changed. Autocorrelation has a wide application in the field of communication. All the digital communication going around the world is based on the calculations of autocorrelation.
In digital communication, we study that if signal parameters are changed how it would change itself. In digital communication, a signal is shifted in the time domain and then it is observed that how the signal has changed from the signal before the shifting. This whole process comes as a study of autocorrelation. Autocorrelation is a very wide field. Periodic, Wide-sense stationary random process and other types of signal have different properties according to the autocorrelation. So before a digital communication system design, all the aspects are analyzed using the autocorrelation process to find the behavior of the signal and to minimize the noise effect in a digital communication system for perfect transmission.
In digital communication, we study that if signal parameters are changed how it would change itself. In digital communication, a signal is shifted in the time domain and then it is observed that how the signal has changed from the signal before the shifting. This whole process comes as a study of autocorrelation. Autocorrelation is a very wide field. Periodic, Wide-sense stationary random process and other types of signal have different properties according to the autocorrelation. So before a digital communication system design, all the aspects are analyzed using the autocorrelation process to find the behavior of the signal and to minimize the noise effect in a digital communication system for perfect transmission.
