Description
- Fundamentals of Information Theory Statistical modelling of information sources, information measure (entropy), Shannon’s theorems on source coding and channel coding, rate distortion theorem
- Source Coding Huffman Tunstall coding, Ziv-Lempel, Elias-Willems coding
- Channel Coding Channel coding theorems, tree and trellis codes, channel models, bandlimited Gaussian channel, channel capacity, error probabilities
- Cryptography Classical methods of encryption and decryption, symmetrical encryption techniques, data encryption standard (DES), asymmetric encryption, RSA encryption technique. Private and public key systems, key management, electronic signature.