Exam Details
Subject | Information Theory And Coding | |
Paper | ||
Exam / Course | BTCVI / BTECVI / BTELVI | |
Department | School of Engineering & Technology (SOET) | |
Organization | indira gandhi national open university | |
Position | ||
Exam Date | June, 2015 | |
City, State | new delhi, |
Question Paper
What is meant by uniquely decidable code?
Write a comparative note on Huffman code and Shannon's codes.
2. Prove that for any instantaneous code (prefix code) over an alphabet size the codeword length I1,I2, ....., Im must satisfy the inequality Ei 1. Also prove that for a given set of codeword lengths that satisfy this inequality, there exists an instantaneous code with these word lengths.
Discuss the various properties of differential entropy and mutual information.
Let U be a memoryless source taking values in with the probabilities .
{0·4, 0·2, 0·15, 0·1, 0·05, 0·05, 0·05}
respectively. Find the entropy of U.
Discuss briefly about the importance of Reed-Solomon codes.
Prove that a cyclic code has a unique complement that is also cyclic.
Explain, why BCH codes are not suitable in cases of compact discs, digital audio tapes and other data storage systems.
Prove that a BCH code of designed distance B has minimum weight at least B.
6. What do you mean by band limited channel? Discuss its utility in communication over a radio network.
7. Derive an expression to prove the fact that the entropy of a pair of random variables is the entropy of one plus the conditional entropy of the other.
Discuss the basic properties of finite fields and the prerequisite conditions for its construction.
Describe briefly about the error detection and correction codes.
9. Write short notes on any two of the following
Error Probability Plane
M-ary Signalling
Bandwidth Efficient Modulation
10. The input source to a noisy communication channel is a random variable X over the four symbols c and d. The output from this channel is a random variable Y over these same four symbols. The joint distribution of these two random variables is given in the following table
x=a x=b x=c x=d
y=a 1/8 1/16 1/16 1/4
y=b 1/16 1/8 1/16 0
y=c 1/32 1/32 1/16 0
y=d 1/32 1/32 1/16 0
Find the mutual information I between the two random variables in bits.
Write a comparative note on Huffman code and Shannon's codes.
2. Prove that for any instantaneous code (prefix code) over an alphabet size the codeword length I1,I2, ....., Im must satisfy the inequality Ei 1. Also prove that for a given set of codeword lengths that satisfy this inequality, there exists an instantaneous code with these word lengths.
Discuss the various properties of differential entropy and mutual information.
Let U be a memoryless source taking values in with the probabilities .
{0·4, 0·2, 0·15, 0·1, 0·05, 0·05, 0·05}
respectively. Find the entropy of U.
Discuss briefly about the importance of Reed-Solomon codes.
Prove that a cyclic code has a unique complement that is also cyclic.
Explain, why BCH codes are not suitable in cases of compact discs, digital audio tapes and other data storage systems.
Prove that a BCH code of designed distance B has minimum weight at least B.
6. What do you mean by band limited channel? Discuss its utility in communication over a radio network.
7. Derive an expression to prove the fact that the entropy of a pair of random variables is the entropy of one plus the conditional entropy of the other.
Discuss the basic properties of finite fields and the prerequisite conditions for its construction.
Describe briefly about the error detection and correction codes.
9. Write short notes on any two of the following
Error Probability Plane
M-ary Signalling
Bandwidth Efficient Modulation
10. The input source to a noisy communication channel is a random variable X over the four symbols c and d. The output from this channel is a random variable Y over these same four symbols. The joint distribution of these two random variables is given in the following table
x=a x=b x=c x=d
y=a 1/8 1/16 1/16 1/4
y=b 1/16 1/8 1/16 0
y=c 1/32 1/32 1/16 0
y=d 1/32 1/32 1/16 0
Find the mutual information I between the two random variables in bits.
Other Question Papers
Departments
- Centre for Corporate Education, Training & Consultancy (CCETC)
- Centre for Corporate Education, Training & Consultancy (CCETC)
- National Centre for Disability Studies (NCDS)
- School of Agriculture (SOA)
- School of Computer and Information Sciences (SOCIS)
- School of Continuing Education (SOCE)
- School of Education (SOE)
- School of Engineering & Technology (SOET)
- School of Extension and Development Studies (SOEDS)
- School of Foreign Languages (SOFL)
- School of Gender Development Studies(SOGDS)
- School of Health Science (SOHS)
- School of Humanities (SOH)
- School of Interdisciplinary and Trans-Disciplinary Studies (SOITDS)
- School of Journalism and New Media Studies (SOJNMS)
- School of Law (SOL)
- School of Management Studies (SOMS)
- School of Performing Arts and Visual Arts (SOPVA)
- School of Performing Arts and Visual Arts(SOPVA)
- School of Sciences (SOS)
- School of Social Sciences (SOSS)
- School of Social Work (SOSW)
- School of Tourism & Hospitality Service Sectoral SOMS (SOTHSM)
- School of Tourism &Hospitality Service Sectoral SOMS (SOTHSSM)
- School of Translation Studies and Training (SOTST)
- School of Vocational Education and Training (SOVET)
- Staff Training & Research in Distance Education (STRIDE)
Subjects
- Advance Microprocessor And Architecture
- Analog and Mixed Mode VLSI Design
- Analog Communication
- Analog Electronic Circuits
- Analog Integrated Circuits Design
- Antennas and Propagation
- B10-Informatics
- Basics Of Electronics Engineering
- Computer Architecture
- Computer Communication Networks
- Control Engineering
- Data Communication And Network
- Device Modelling For Circuit Simulation
- Digital Electronics
- Digital Signal Processing
- Digital System Design
- Electromagnetic Field Theory
- Electronic Measurement and Inst
- Electronic Switching Circuits
- Embedded System Design
- Information Theory And Coding
- Linear Integrated Circuits
- Microcontrollers
- Microprocessor And Its Applications
- Microwave And Radar Engineering
- Multirate Systems
- Optical Fiber Communication
- Power Electronics
- Satellite And Tv Engineering
- Signal And Systems
- Wireless Communication