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Advanced digital encoding, compression and encryption are vital to modern telecommunications and networks. Engineers operating at the advanced level of telecommunications networks are required to understand, maintain and configure advanced telecommunications systems. Furthermore, they may be required to design new systems involving data compression and encryption.

This course examines the methods used for coding, transmitting and storing continuous signals such as speech, music, images and video. The course covers such topics as data compression, encryption, and error control in a digital transmission system.
The course also seeks to impart an understanding of current research problems in the digital communications field. It is thus suitable for students who may wish to undertake research and development work in this important field.

The course objectives define the student learning outcomes for a course. On completion of this course, students should be able to:

1. describe quantization techniques;
2. to explain the operation of lossless coding algorithms, and in particular their relationship to data probabilities;
3. implement transform-domain encoders and decoders;
4. describe coding algorithms used in speech communications such as linear predictive coding and code-excited linear prediction;
5. describe coding algorithms used in video communications such as the discrete cosine transform and intraframe predictors;
6. analyse the computational complexity of coding algorithms and assess their suitability for real-time implementation on DSP systems.