Source Coding:
Source coding is the technique used to compress the information before transmitting it over a channel to reduce the bandwidth required for transmission. The aim is to remove any redundant or unnecessary data while retaining the essential information. This process ensures the efficient utilization of resources while minimizing errors and loss of data during transmission.
There are various methods of source coding, including Huffman coding and Shannon-Fano coding, among others. Huffman coding is a popular method that assigns shorter codes to frequently occurring symbols in the data stream, reducing the overall length of the code. On the other hand, Shannon-Fano coding uses a similar approach but generates codes based on the probabilities of the symbols occurring in the data stream.
Channel Coding:
Channel coding is the process of adding extra bits to the source code to protect it from corruption during transmission. The purpose is to detect any errors that may occur and correct them at the receiver end. The extra bits added to the code are called parity bits, and they provide redundancy that enables the receiver to detect and correct errors.
Block codes and convolution codes are popular channel coding methods used to add redundancy to the transmitted data stream. Block codes divide the source data into blocks and add redundant bits to each block. Convolution codes, on the other hand, generate a continuous stream of redundant bits that are added to the source data stream.
In conclusion, source coding and channel coding are critical techniques used to ensure the efficient transmission of information over a communication channel. These methods not only reduce the bandwidth required for transmission but also protect the data from errors and corruption during transmission, ensuring the reliable delivery of information.
