Fundamentals in Information Theory and CodingSpringer Science & Business Media, 27 mei 2011 - 485 pagina's The work introduces the fundamentals concerning the measure of discrete information, the modeling of discrete sources without and with a memory, as well as of channels and coding. The understanding of the theoretical matter is supported by many examples. One particular emphasis is put on the explanation of Genomic Coding. Many examples throughout the book are chosen from this particular area and several parts of the book are devoted to this exciting implication of coding. |
Inhoudsopgave
| 1 | |
| 7 | |
Source Coding | 53 |
Cryptography Basics | 120 |
Channel Coding | 209 |
Algebra Elements | 389 |
Tables for Information and Entropy Computing | 426 |
Signal Detection Elements | 435 |
Synthesis Example | 461 |
| 474 | |
Acronyms | 483 |
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according algorithm applications attack average binary bits block scheme calculated called capacity channel characters cipher ciphertext codeword Communication compression condition consider contains convolutional correct corresponding cyclic decision decoding defined dependent detection determined distance elements encoding encryption entropy equal equation erroneous error error correcting Example expressed field follows frame function given Illustration independent input internal known length letters levels LFSR limit linear matrix maximum meaning memory modulation multiplication noise obtained occur operation original output path plaintext polynomial position possible presented probability protection quantization received relation Remark representation represents roots samples sequence shows signal solution space standard steps stream structure symbols syndrome systematic taking Theory tion transform transmission transmitted vector watermark zero α α