In concatenated coding, which part arranges transport stream packet data into a matrix?

In concatenated coding, convolutional coding is responsible for arranging transport stream packet data into a matrix. This coding method involves transforming the data into a format where it can be more effectively converted into a channel-encoded stream, which is essential for battling errors during transmission.

The convolutional coding process employs a shift register and produces a sequence of output bits based on the current input bits and previous input bits. By structuring the data in a matrix format, it allows for layers of redundancy that improve the reliability of data recovery at the receiver end. This organization supports sequential processing, which is key to ensuring that the data can be decoded correctly even in the presence of signal interference or loss during transmission.

In contrast, Reed-Solomon coding focuses on correcting bursts of errors and operates at a higher level rather than arranging data into a matrix. Source coding is primarily used to compress data without loss and does not handle the structure of transport streams. Symbol mapping relates to the assignment of codewords to signal elements for modulation purposes, which is a later stage in the coding process.