The reliable transmission of information over noisy channels is one of the basic requirements of digital information and communication systems. Because of this requirement, modern communication systems rely heavily on powerful channel coding methodologies. Channel coding is often used in digital communication systems to protect the digital information from noise and interference and reduce the number of bit errors. In digital television the video and audio information is digitized and compressed using the Moving Picture Experts Group (MPEG) compression standard. This process is known as source coding. The compressed data is further channel coded to prepare it for transmission. The Digital Video Broadcasting (DVB) system, which was standardized in the early 1990’s by the European Broadcasting Union (EBU) and the European Telecommunications Standards Institute (ETSI), was based on the serial concatenation of a shortened Reed Solomon (RS) code and Convolutional code. This work presents the idea of substituting the Convolutional code with the turbo code; this is accomplished by simulating both codes and comparing the results for different conditions and for two types of channels, the AWGN channel and the Wireless channel. The simulation results showed that the Turbo coding produces 3.5dB coding gain at 10-5 bit error rate, so using it as an inner code is more suitable for DVB transmission than the old channel coding scheme.