Information Theory And Coding MCQ Questions & Answers | ECE
Learn Information Theory And Coding MCQ questions & answers are available for a Electronics and Communications Engineering(ECE) students to clear GATE exams, various technical interview, competitive examination, and another entrance exam. Information Theory And Coding MCQ question is the important chapter for a Electronics and Communications Engineering(ECE) and GATE students. Page-4 section-2
Each section contains 100 MCQs on
Information Theory and Coding .
A discrete source emits four symbols with probabilities $$\frac{1}{3},\,\frac{1}{3},\,\frac{1}{4}$$ and $$\frac{1}{{12}}$$ every 100 µs. The information rate is:
The channel capacity of an ideal AWGN channel with infinite bandwidth is approximated as (where S is average signal power and $$\frac{\eta }{2}$$ is the double sided power spectral density of white Gaussian noise)
What is the entropy of a communication system that consists of six messages with probabilities $$\frac{1}{8},\,\frac{1}{8},\,\frac{1}{8},\,\frac{1}{4}$$ and $$\frac{1}{4}$$ respectively?
A zero memory source emits six messages with probabilities 0.3, 0.25, 0.15, 0.12, 0.1 and 0.08. If binary Huffman coding is used, what will be the average code length?
