What value indicates the maximum data transmission rate in coding schemes according to Shannon's findings?

The maximum data transmission rate in coding schemes, as defined by Shannon's findings, is referred to as channel capacity. This concept quantifies the highest rate at which information can be transmitted over a communication channel without error, taking into account the noise that may affect the signal.

Shannon's channel capacity is mathematically derived from the bandwidth of the channel and the signal-to-noise ratio, forming a foundational principle in information theory. Essentially, channel capacity represents the limit of how much information can be reliably transmitted, making it critical in the realm of data communication and coding practices.

In contrast, entropy measures the uncertainty or randomness of information content, while information itself is a broader term that entails data conveyed. Bandwidth, on the other hand, refers to the range of frequencies available for transmitting signals, which influences but does not directly equate to the maximum achievable data rate in the presence of noise and other channel characteristics.