Download e-book for iPad: A practical guide to error-control coding using Matlab by Yuan Jing

By Yuan Jing

ISBN-10: 1608070891

ISBN-13: 9781608070893

This useful source offers engineers with a finished knowing of blunders keep watch over coding, a vital and extensively utilized zone in smooth electronic communications. The target of mistakes keep an eye on coding is to encode info in this sort of method that whether the channel (or garage medium) introduces error, the receiver can right the blunders and get well the unique transmitted info. This booklet contains the main worthwhile glossy and vintage codes, together with block, Reed Solomon, convolutional, faster, and LDPC codes. pros locate transparent counsel on code building, deciphering algorithms, and blunder correcting performances. in addition, this exact booklet introduces computing device simulations integrally to aid readers grasp key recommendations. together with a significant other DVD with MATLAB courses and supported with over 540 equations, this hands-on reference presents an in-depth remedy of quite a lot of sensible implementation matters. DVD is incorporated! It includes rigorously designed MATLAB courses that practitioners can observe to their initiatives within the box.

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Extra info for A practical guide to error-control coding using Matlab

Example text

1 Standard array. 2. From the remaining n-tuples, choose one with the smallest number of 1’s, and put it in the first position of the next row. 3. Add the chosen n-tuple to the codewords at the top of each column, and place the results in the corresponding positions of the row. The results are then removed from the remaining n-tuples. 4. Repeat steps 2 and 3 until all 2n n-tuples have been used. 1. This 2n - k ´ 2k LUT is called the standard array of the code C. Notice that l1, l2,¼, l2n - k form a subgroup of 2n n-tuples.

Each message word is associated with one and only one codeword. The total number of codewords in a code equals that of message words, 2k. 1 lists all codewords of a (7,4) block code. For every message word of four bits, there exists a corresponding codeword of seven bits. Note that this code is a systematic code. The first four MSBs of the codewords are the message bits. The remaining three bits are the parity bits. 1 Codewords of a (7,4) Block Code Message Word (LSB … MSB) Codeword (LSB … MSB) m 0 = (0000) c 0 = (0000000) m 1 = (1000) c 1 = (1101000) m 2 = (0100) c 2 = (0110100) m 3 = (1100) c 3 = (1011100) m 4 = (0010) c 4 = (1110010) m 5 = (1010) c 5 = (0011010) m 6 = (0110) c 6 = (1000110) m 7 = (1110) c 7 = (0101110) m 8 = (0001) c 8 = (1010001) m 9 = (1001) c 9 = (0111001) m 10 = (0101) c 10 = (1100101) m 11 = (1101) c 11 = (0001101) m 12 = (0011) c 12 = (0100011) m 13 = (1011) c 13 = (1001011) m 14 = (0111) c 14 = (0010111) m 15 = (1111) c 15 = (1111111) Note: LSB = least significant bit; MSB = most significant bit.

15) . We may also choose other n-tuples like (00010) or (01000), but it should not affect the decoding result because they will be chosen eventually.

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A practical guide to error-control coding using Matlab by Yuan Jing


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