2022 | English | ASIN: NA | ISBN: NA | PDF | 620 pages | 5 MB

This textbook introduces the subject of information theory at a level suitable for advanced undergraduate and graduate students. It develops both the classical Shannon theory and recent applications in statistical learning. There are five parts covering foundations of information measures; (lossless) data compression; binary hypothesis testing and large deviations theory; channel coding and channel capacity; lossy data compression; and, finally, statistical applications. There are over 150 exercises included to help the reader learn about and bring attention to recent discoveries in the literature.



DOWNLOAD
rapidgator