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Data Compression - Part 3

Authored by Prof. Pappu

Computers

University

Used 3+ times

Data Compression - Part 3
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20 questions

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1.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

The redundancy is zero when

The probabilities are positive powers of two
The probabilities are negative powers of two
Both
None of the above

2.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Which bit is reserved as a parity bit in an ASCII set?

Sixth
Seventh
Eighth
Ninth

3.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

___ Bits are needed for standard encoding if the size of the character set is X

X+1
log(X)
X2
2X

4.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Applications of Huffman Coding

Text compression
Audio compression
Lossless image compression
All of the above

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

The basic idea behind Huffman coding is to

compress data by using fewer bits to encode fewer frequently occuring characters
compress data by using fewer bits to encode more frequently occuring characters
compress data by using more bits to encode more frequently occuring characters
expand data by using fewer bits to encode more frequently occuring characters

6.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

An alphabet consist of the letters A, B, C and D. The probability of occurrence is P(A) = 0.4, P(B)= 0.1, P(C) = 0.2 and P(D) = 0.3. The Huffman code is

A = 0 B = 111 C = 110 D = 10
A = 0 B = 11 C = 10 D = 111
A = 0 B = 111 C = 11 D = 101
A = 01 B = 111 C = 110 D = 10

7.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Huffman coding is an encoding algorithm used for

lossless data compression
broadband systems
files greater than 1 Mbit
lossy data compression

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