Mohammad Beiranvand - Department of Electrical engineering, Neyshabur branch. Islamic Azad University, Neyshabur, Iran mohamadbiranvand@gmail.com
Ali Pakizeh Moghaddam - Department of Electrical engineering, Neyshabur branch. Islamic Azad University, Neyshabur, Iran apm@iaus.ac.ir
Ali Asghar Shojaei - Department of Electrical engineering, Neyshabur branch. Islamic Azad University, Neyshabur, Iran shojaei۲۰۱۲@gmail.com

One of the major issues in the field of electrical engineering and artificial intelligence, Digital Signal Processing Topic and in the more detailed view, it is critical signal processing. Over the years, with many improvements, many researchers and researchers have taken precise and effective steps in this field. And they have achieved good results in different areas among these topics are the elimination and reduction of noise and various artifacts of vital signals. In recent years, different vital signals, such as brain signals or electroencephalography in order to find out the status of patients, especially epileptic patients have been considered . But there are always some noise or artifacts associated with recording these signals. There are many ways to eliminate noise and artifacts so far and many researchers have been trying to achieve high accuracy and speed in artifact removal. What has been addressed in this article, applying incremental and subtractive sampling functions in the digital domain, it is to remove noise and artifacts from the brain signal

Noise Removal, Artifact, Brain Signal,Electroencephalographic Signal, Sampling.