In this paper, Shannon theory is used to pollute the noise of any given communication channel. In information theory, Shannon theory (i.e. noise channel coding theorem or Shannon limit) determines that for any given degree of noise pollution in a communication channel, almost error-free discrete data (i.e. digital information) can be communicated until the maximum rate can be calculated through the channel. This result was put forward by Cla+udeShannon in 1948. Part of the theoretical basis is based on the early work and thoughts of HarryNyquist and RalphHartley. Generally speaking, in information theory, Shannon theory points out that although noise will interfere with the communication channel, data information can still be transmitted with any low error probability on the premise that the information transmission rate is less than the channel capacity. This surprising result, sometimes called the fundamental theorem of information principle, was first put forward by Claude elwood Shannon in 1948.