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ECE 867 (Course) - Grade Details
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Course Title: Information Theory and Coding
Course Description: Shannon information measures. Uniqueness theorem and chain rules of the entropy measures. Kullback-Leibler relative-entropy. The I-measure. Asymptotic Equipartition Property (AEP) for various sources. Channel capacity; discrete-memoryless and symmetric channels. The channel coding theorem. Rate-distortion theory. Applications of coding to modern communications and compression methods such as image
Hayder Radha
Average Grade - 3.632
Median Grade - 3.5
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