This relatively short chapter on channel entropy describes the entropy properties of communication channels, of which I have given a generic description in Chapter 11 concerning error-correction coding. It will also serve to pave the way towards probably the most important of all Shannon's theorems, which concerns channel coding, as described in the more extensive Chapter 13. Here, we shall consider the different basic communication channels, starting with the binary symmetric channel, and continuing with nonbinary, asymmetric channel types. In each case, we analyze the channel's entropy characteristics and mutual information, given a discrete source transmitting symbols and information thereof, through the channel. This will lead us to define the symbol error rate (SER), which corresponds to the probability that symbols will be wrongly received or mistaken upon reception and decoding.

Binary symmetric channel

The concept of the communication channel was introduced in Chapter 11. To recall briefly, a communication channel is a transmission means for encoded information. Its constituents are an originator source (generating message symbols), an encoder, a transmitter, a physical transmission pipe, a receiver, a decoder, and a recipient source (restituting message symbols). The two sources (originator and recipient) may be discrete or continuous. The encoding and decoding scheme may include not only symbol-to-codeword conversion and the reverse, but also data compression and error correction, which we will not be concerned with in this chapter. Here, we shall consider binary channels.