Institute of Information Science - University of Miskolc

We'll use a simplified version with small numbers to make the process easier to understand. Typically, Reed-Solomon codes use larger fields (like 255 symbols for CDs), but in this example, we'll use a smaller field size.

Let's use the Reed-Solomon code RS(7, 3), which means:

1. n = 7: The total number of symbols in the codeword.
2. k = 3: The number of original data symbols.
3. n - k = 4: The number of parity symbols added for error correction.

The codeword will be composed of 7 symbols: 3 data symbols and 4 parity symbols. We'll assume we're working in GF(8) (Galois Field of 8 elements), with the following primitive polynomial:

\[ x^3 + x + 1 \]

The field elements are represented as:

\[ \{ 0, 1, \alpha, \alpha^2, \alpha^3, \alpha^4, \alpha^5, \alpha^6 \} \]

where \(\alpha\) is a primitive element (root of the polynomial) and behaves cyclically.

Let’s assume we want to encode the following 3 data symbols: \[ \text{Data} = \{ 6, 4, 3 \} \]

The generator polynomial \( g(x) \) is a key part of the encoding process. For simplicity, in this example, let’s assume the generator polynomial for RS(7, 3) is: \[ g(x) = (x - \alpha^0)(x - \alpha^1)(x - \alpha^2)(x - \alpha^3) \]

Expanding this gives us the generator polynomial: \[ g(x) = x^4 + \alpha^3 x^3 + \alpha^2 x^2 + \alpha x + 1 \]

Represent the data as a polynomial: \[ \text{Data Polynomial} = 6x^2 + 4x + 3 \]

Next, we multiply the data polynomial by \(x^{n-k} = x^4\) (to make space for the parity symbols):

\[ x^4(6x^2 + 4x + 3) = 6x^6 + 4x^5 + 3x^4 \]

Now, divide the polynomial \(6x^6 + 4x^5 + 3x^4\) by the generator polynomial \(g(x)\). The remainder of this division will be the parity symbols.

For simplicity, I won’t show the detailed polynomial division here (it’s tedious and usually done by computer), but let’s assume the remainder after division is: \[ \text{Remainder} = 2x^3 + 5x^2 + 4x + 1 \]

The final codeword is formed by adding the remainder (parity symbols) to the original data polynomial. The full codeword (data + parity) is:

\[ \text{Codeword} = 6x^6 + 4x^5 + 3x^4 + 2x^3 + 5x^2 + 4x + 1 \]

In terms of symbols, the codeword is:

\[ \{ 6, 4, 3, 2, 5, 4, 1 \} \]

This is the transmitted message, containing both the original data and the parity symbols.

Assume there is a transmission error, and the received codeword has errors in two symbols:

\[ \text{Received} = \{ 6, 4, 3, 2, 5, 0, 1 \} \] In this case, the 6th symbol (originally 4) was corrupted to 0.

Using the Reed-Solomon decoding algorithm (which involves using syndromes and solving the error locator polynomial), the receiver can detect that an error occurred and identify the erroneous symbol(s). Based on the parity and the syndromes, it would determine that the 6th symbol is incorrect and correct it back to the original value (4).

Thus, the corrected codeword would be:

\[ \{ 6, 4, 3, 2, 5, 4, 1 \} \]

1. Encode: Multiply the data polynomial by \(x^{n-k}\) and divide by the generator polynomial to find the parity. 2. Transmit: Send the data and parity as a codeword. 3. Detect and Correct: Upon receiving the (possibly corrupted) codeword, calculate syndromes and use the Reed-Solomon algorithm to correct errors.

This simplified example illustrates the core idea behind Reed-Solomon codes. They are used in real-world systems like CDs, DVDs, Blu-ray discs, and QR codes to correct errors that may occur during data storage or transmission.