An introduction to the components and structure of a digital channel.
Simulation and visualization enhance understanding of communication system behavior and performance. In this project, develop a simple model for a transmitter, channel, and receiver, and study the performance of the system in terms of bit error rate (BER). Channel errors are visualized as images and "auralized" as sound to further develop insight into the relationships between bit error rate and message length.
Channel encoding inserts additional information into a transmitted bit stream to facilitate error detection and error correction at the receiver. Block coding breaks up a bit stream into words of length k bits and appends check bits to form a codeword of length n bits. A corresponding channel decoder examines the complete codeword, and detects and even corrects certain types of erroneous bits caused by the channel. In the prerequisite project "Hamming Block Code Channel Encoder" you developed a channel encoder using a special class of block code called a Hamming code. In this project, develop the companion channel decoder, and then evaluate the performance of the complete encoder/decoder system.
Build a LabVIEW subVI to implement a binary symmetric channel (BSC).
