Abstarct: Today, with the development of cities and industrial environments and thus increasing the noise and harsh sounds in the environment around us, the need for quiet and silence is felt more and more. The existence of noise and troubling noises in the environment, according to the World Health Organization (WHO), causes a different mental illness, such as depression and heart disease. In this thesis, by implementing an active noise control system on smart phones, it has been tried to take a useful step in human health. For this purpose, first, the existing methods for noise active noise control were analyzed. According to the papers and researches, the FxNLms feedback algorithm was selected baxsed on the limitations and conditions of a cell phone. One of the challenges in this direction is the lower processing power of mobile phones than computers and DSP processors. In this thesis, we have tried to write the noise control algorithm as simple as possible and have different ideas used in applying it to achieve the best possible mode. For design and implementation of this application on mobile phones, X- Code software and Swift and Objective - C programming languages have been used. The amount of noise reduction was measured at frequencies ranging from 50 to 100 Hz ranging from 3 to 10 db.