Shannon proved that if the data rate is below the channel capacity, it is possible to transmit information with zero error, even in the presence of noise.
The goal of source coding is to represent data as efficiently as possible by removing redundancy. Key Algorithms: information theory and coding by giridhar pdf
): This is the average amount of information produced by a source. High entropy means high uncertainty (like a random sequence of letters), while low entropy means high predictability. 2. Source Coding: The Art of Compression Shannon proved that if the data rate is
The logic behind GIF and ZIP files, which builds a dictionary of recurring patterns. 3. Channel Capacity and Noise information theory and coding by giridhar pdf
Widely used in networking (like Ethernet) to detect data corruption.