This book is intended to introduce coding theory and information theory to undergraduate students of mathematics and computer science. It begins with a review of probablity theory as applied to finite sample spaces and a general introduction to the nature and types of codes. The two subsequent chapters discuss information theory: efficiency of codes, the entropy of information sources, and Shannon's Noiseless Coding Theorem. The remaining three chapters deal with coding theory: communication channels, decoding in the presence of errors, the general theory of linear codes, and such specific codes as Hamming codes, the simplex codes, and many others.
Autorius: | Steven Roman |
Leidėjas: | Springer US |
Išleidimo metai: | 1996 |
Knygos puslapių skaičius: | 344 |
ISBN-10: | 0387947043 |
ISBN-13: | 9780387947044 |
Formatas: | Knyga kietu viršeliu |
Kalba: | Anglų |
Žanras: | Information theory |
Parašykite atsiliepimą apie „Introduction to Coding and Information Theory“